Journal articles on the topic 'Wind turbines – Automatic control'

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1

Rebello, Eldrich, David Watson, and Marianne Rodgers. "Ancillary services from wind turbines: automatic generation control (AGC) from a single Type 4 turbine." Wind Energy Science 5, no. 1 (February 12, 2020): 225–36. http://dx.doi.org/10.5194/wes-5-225-2020.

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Abstract. Wind turbines possess the technical ability to provide various ancillary services to the electrical grid. Despite this, renewable generators such as wind and solar have traditionally not been allowed to provide significant amounts of ancillary services, in part due to the variable and uncertain nature of their electricity generation. Increasing levels of renewable generation, however, continue to displace existing synchronous generation and thus necessitate new sources of ancillary or system services. This work is part of an ongoing project that seeks to provide empirical evidence and an examination of how ancillary services can be provided from commercially available wind turbines. We focus specifically on providing secondary frequency response (automatic generation control or AGC) and demonstrate that wind turbines have the technical capability to provide this service. The algorithms used are intentionally simple so as to evaluate the capabilities and limitations of the turbine technology. This work presents results from a single, 800 kW, International Electrotechnical Commission (IEC) Type 4 wind turbine. A total of 10 % of rated power is offered on the regulation market. We do not separate up- and downregulation into individual services. Upregulation is offered through a 5 % constant power curtailment. The AGC update interval is 4 s, to mimic real-world conditions. We use performance scoring methods from the Pennsylvania–Jersey–Maryland (PJM) operator and the National Research Council (NRC) of Canada to quantify the wind turbine's response. We use the calculated performance scores, annual site wind data, and 2017 PJM market price data to estimate income from providing secondary frequency regulation. In all cases presented, income from the regulation market is greater than the energy income lost due to curtailment.
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2

Camporeale, S. M., B. Fortunato, and G. Marilli. "Automatic System for Wind Turbine Testing." Journal of Solar Energy Engineering 123, no. 4 (June 1, 2001): 333–38. http://dx.doi.org/10.1115/1.1404432.

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An innovative electronic system for testing the performance of wind turbines is presented. The main goal of the system is to increase the accuracy in the measurements of torque and speed for each steady-state point of the turbine characteristic power curve. Another useful advantage provided by the electronic control is given by the possibility of fine tuning the load in order to obtain a large number of steady state experimental points describing the characteristic curve of the turbine. Moreover, the system is suitable for integration into an automatic data acquisition and control system. In the paper the main characteristics of the electronic system are described and compared with a traditional system. This electronic control system is used for testing a small Vertical Axis Wind Turbine in a wind tunnel. The wind turbine is directly coupled to a direct current electric generator, and a chopper, electronically controlled by means of a Pulse Width Modulator, is used to supply the circuit. The electric generator is used for braking the wind turbine at various speeds during the performance test. The experimental results obtained through the proposed system are presented and discussed.
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3

Theodoropoulos, Stefanos, Dionisis Kandris, Maria Samarakou, and Grigorios Koulouras. "Fuzzy Regulator Design for Wind Turbine Yaw Control." Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/516394.

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This paper proposes the development of an advanced fuzzy logic controller which aims to perform intelligent automatic control of the yaw movement of wind turbines. The specific fuzzy controller takes into account both the wind velocity and the acceptable yaw error correlation in order to achieve maximum performance efficacy. In this way, the proposed yaw control system is remarkably adaptive to the existing conditions. In this way, the wind turbine is enabled to retain its power output close to its nominal value and at the same time preserve its yaw system from pointless movement. Thorough simulation tests evaluate the proposed system effectiveness.
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4

Mandroux, N., S. Drouyer, and R. Grompone von Gioi. "MULTI-DATE WIND TURBINE DETECTION ON OPTICAL SATELLITE IMAGES." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-2-2022 (May 17, 2022): 383–90. http://dx.doi.org/10.5194/isprs-annals-v-2-2022-383-2022.

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Abstract. Satellite imaging is shifting from the photo-interpreter era to one of automatic monitoring. Indeed, the vast amount of data provided by the recent constellations of satellites, performing recurrent observation of every point on the globe, can only be handled by automatic methods; controlling false detections is thus crucial. The low costs of those satellites often imply lower resolution; the fusion of multi-date images can compensate to some extent the low resolution. Given their future role in the energetic transition and their spread over countries or continents, monitoring wind turbines is a natural candidate for such studies. This work details an algorithm for automatic, multi-date wind turbine detection on low resolution optical satellite images. The method is based on the a contrario statistical approach to provide a control of false detections and exploits the geometry of wind turbines’ shadows and hubs.
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5

Chen, Xiao Dong, Mei Ling Kuang, and Ya Ming Jiang. "Study of the Textile Composite Adaptive Blade of Small Wind Turbine." Advanced Materials Research 332-334 (September 2011): 828–32. http://dx.doi.org/10.4028/www.scientific.net/amr.332-334.828.

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This paper is mainly to design the small wind turbine blades to make the wind turbines have automatic braking ability. This study has two main aspects, including choosing the reinforced materials and designing the structure of the blades. According to the fiber hybrid principle, carbon fibers are employed in the main stress area of the blades and other area using glass fiber. At the same time, Aramid fibers are mixed in every area of the blade in order to enhance the tenacity of the blade. The other work is designing the structure of the blade with big main body and small abdomen which twists easily. At the designed wind speed, the power output reaches its rated capacity. Above this wind speed, turbine blades twist to adapt to wind speed and make the rotor solidity of wind turbine declined. While the wind speed changes and becomes small, the torsion of wind turbines’ blades turns back. Thus the wind turbines’ rotor solidity becomes greater and power output increases. So at a certain speed ( 36m/s), the wind turbine can adjusts itself to control the power output keeps on a certain level. And then it brakes by itself.
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6

Rodriguez-Amenedo, J. L., S. Arnalte, and J. C. Burgos. "Automatic generation control of a wind farm with variable speed wind turbines." IEEE Transactions on Energy Conversion 17, no. 2 (June 2002): 279–84. http://dx.doi.org/10.1109/tec.2002.1009481.

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7

Rodriguez-Amenedo, J. L., S. Arnalte, and J. C. Burgos. "Automatic Generation Control of a Wind Farm with Variable Speed Wind Turbines." IEEE Power Engineering Review 22, no. 5 (May 2002): 65. http://dx.doi.org/10.1109/mper.2002.4312198.

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8

Wang, Ying Xin, Hui Xing, Zhan Hua Wu, and Shu Lin Duan. "An Overview of Fire Risk and Fire Protection Solutions for Wind Turbines." Advanced Materials Research 608-609 (December 2012): 500–505. http://dx.doi.org/10.4028/www.scientific.net/amr.608-609.500.

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To search effective technical solutions to control fire risk of wind turbines, based on the risk system composed of “Human- Equipment - Environment – Management” in safety systems engineering theory, the four main aspects of wind turbines fire risk, i.e., lightning strikes and bad weather, mechanical and electrical equipment failure, human errors and poor management and fire protection systems missing, were pointed out. The fire risk and fire risk control measures of wind turbines were analyzed, the progress of fire detection technology and fire protection solutions of wind turbines were reviewed. The results show that, to develop and equip with high-performance automatic fire detection, alarm and extinguishing systems is the inevitable choice to effectively control the fire risk of wind turbines.
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9

Hood, Kenta, Sebastián Torres, and Robert Palmer. "Automatic Detection of Wind Turbine Clutter for Weather Radars." Journal of Atmospheric and Oceanic Technology 27, no. 11 (November 1, 2010): 1868–80. http://dx.doi.org/10.1175/2010jtecha1437.1.

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Abstract Wind turbines cause contamination of weather radar signals that is often detrimental and difficult to distinguish from cloud returns. Because the turbines are always at the same location, it would seem simple to identify where wind turbine clutter (WTC) contaminates the weather radar data. However, under certain atmospheric conditions, anomalous propagation of the radar beam can occur such that WTC corrupts weather data on constantly evolving locations, or WTC can be relatively weak such that contamination on predetermined locations does not occur. Because of the deficiency of using turbine locations as a proxy for WTC, an effective detection algorithm is proposed to perform automatic flagging of contaminated weather radar data, which can then be censored or filtered. Thus, harmful effects can be reduced that may propagate to automatic algorithms or may hamper the forecaster’s ability to issue timely warnings. In this work, temporal and spectral features related to WTC signatures are combined in a fuzzy logic algorithm to classify the radar return as being contaminated by WTC or not. The performance of the algorithm is quantified using simulations and the algorithm is applied to a real data case from the radar facility in Dodge City, Kansas (KDDC). The results illustrate that WTC contamination can be detected automatically, thereby improving the quality control of weather radar data.
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10

Kalimbetov, G. P., and A. Zh Toigozhinova. "DEPENDENCE OF THE GENERATED POWER ON THE OPERATING MODES OF THE WIND ELECTRIC GENERATOR AS PART OF THE MULTIFUNCTIONAL ENERGY COMPLEX." BULLETIN Series of Physics & Mathematical Sciences 72, no. 4 (December 29, 2020): 123–30. http://dx.doi.org/10.51889/2020-4.1728-7901.19.

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The wind energy utilization factor (Betz-Zhukovsky criterion) depends on the loss of wind speed when it passes through the plane of the wind wheel. The power generated by the wind turbine differs from the power developed by the wind wheel by the amount of losses when converting the recovered wind energy into useful energy. The choice of wind turbine power is determined by the electrical load of electrical consumers that are used in the facility under consideration. It should be borne in mind that they almost never turn on at the same time. Therefore, the calculation is carried out according to the average indicators of power consumption. The work involves the operation of wind turbines without limiting the carrying capacity. A similar system is used when a wind turbine is operating in the network or in the presence of technical devices for exceeding the power. The revealed effect of automatic stabilization of the electromechanical system in the optimal mode is undoubtedly one of the important advantages of the WPP concept. The simulation results can be used to optimize the control of wind turbines in cluster mode.
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11

Astolfi, Davide. "A Study of the Impact of Pitch Misalignment on Wind Turbine Performance." Machines 7, no. 1 (January 15, 2019): 8. http://dx.doi.org/10.3390/machines7010008.

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Pitch angle control is the most common means of adjusting the torque of wind turbines. The verification of its correct function and the optimization of its control are therefore very important for improving the efficiency of wind kinetic energy conversion. On these grounds, this work is devoted to studying the impact of pitch misalignment on wind turbine power production. A test case wind farm sited onshore, featuring five multi-megawatt wind turbines, was studied. On one wind turbine on the farm, a maximum pitch imbalance between the blades of 4.5 ° was detected; therefore, there was an intervention for recalibration. Operational data were available for assessing production improvement after the intervention. Due to the non-stationary conditions to which wind turbines are subjected, this is generally a non-trivial problem. In this work, a general method was formulated for studying this kind of problem: it is based on the study, before and after the upgrade, of the residuals between the measured power output and a reliable model of the power output itself. A careful formulation of the model is therefore crucial: in this work, an automatic feature selection algorithm based on stepwise multivariate regression was adopted, and it allows identification of the most meaningful input variables for a multivariate linear model whose target is the power of the wind turbine whose pitch has been recalibrated. This method can be useful, in general, for the study of wind turbine power upgrades, which have been recently spreading in the wind energy industry, and for the monitoring of wind turbine performances. For the test case of interest, the power of the recalibrated wind turbine is modeled as a linear function of the active and reactive power of the nearby wind turbines, and it is estimated that, after the intervention, the pitch recalibration provided a 5.5% improvement in the power production below rated power. Wind turbine practitioners, in general, should pay considerable attention to the pitch imbalance, because it increases loads and affects the residue lifetime; in particular, the results of this study indicate that severe pitch misalignment can heavily impact power production.
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12

Abbas, Nikhar J., Daniel S. Zalkind, Lucy Pao, and Alan Wright. "A reference open-source controller for fixed and floating offshore wind turbines." Wind Energy Science 7, no. 1 (January 19, 2022): 53–73. http://dx.doi.org/10.5194/wes-7-53-2022.

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Abstract. This paper describes the development of a new reference controller framework for fixed and floating offshore wind turbines that greatly facilitates controller tuning and represents standard industry practices. The reference wind turbine controllers that are most commonly cited in the literature have been developed to work with specific reference wind turbines. Although these controllers have provided standard control functionalities, they are often not easy to modify for use on other turbines, so it has been challenging for researchers to run representative, fully dynamic simulations of other wind turbine designs. The Reference Open-Source Controller (ROSCO) has been developed to provide a modular reference wind turbine controller that represents industry standards and performs comparably to or better than existing reference controllers. The formulation of the ROSCO controller logic and tuning processes is presented in this paper. Control capabilities such as tip speed ratio tracking generator torque control, minimum pitch saturation, wind speed estimation, and a smoothing algorithm at near-rated operation are included to provide modern controller features. A floating offshore wind turbine feedback module is also included to facilitate growing research in the floating offshore arena. All of the standard controller implementations and control modules are automatically tuned such that a non-controls engineer or automated optimization routine can easily improve the controller performance. This article provides the framework and theoretical basis for the ROSCO controller modules and generic tuning processes. Simulations of the National Renewable Energy Laboratory (NREL) 5 MW reference wind turbine and International Energy Agency 15 MW reference turbine on the University of Maine semisubmersible platform are analyzed to demonstrate the controller's performance in both fixed and floating configurations, respectively. The simulation results demonstrate ROSCO's peak shaving routine to reduce maximum rotor thrusts by over 10 % compared to the NREL 5 MW reference wind turbine controller on the land-based turbine and to reduce maximum platform pitch angles by nearly 30 % when using the platform feedback routine instead of a more traditional low-bandwidth controller.
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13

Li, Wei, Dean Kong, Qiang Xu, Xiaoyu Wang, Xiang Zhao, Yongji Li, Hongzhi Han, Wei Wang, and Zhenyu Chen. "A Wind Farm Active Power Dispatch Strategy Considering the Wind Turbine Power-Tracking Characteristic via Model Predictive Control." Processes 7, no. 8 (August 12, 2019): 530. http://dx.doi.org/10.3390/pr7080530.

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In this paper, an industrial application-oriented wind farm automatic generation control strategy is proposed to stabilize the wind farm power output under power limitation conditions. A wind farm with 20 units that are connected beneath four transmission lines is the selected control object. First, the power-tracking dynamic characteristic of wind turbines is modeled as a first-order inertial model. Based on the wind farm topology, the wind turbines are grouped into four clusters to fully use the clusters’ smoothing effect. A method for frequency-domain aggregation and approximation is used to obtain the clusters’ power-tracking equivalent model. From the reported analysis, a model predictive control strategy is proposed in this paper to optimize the rapidity and stability of the power-tracking performance. In this method, the power set-point for the wind farm is dispatched to the clusters. Then, the active power control is distributed from the cluster to the wind turbines using the conventional proportional distribution strategy. Ultra-short-term wind speed prediction is also included in this paper to assess the real-time performance. The proposed strategy was tested using a simulated wind farm based on an industrial wind farm. Good power-tracking performance was achieved in several scenarios, and the results demonstrate that the performance markedly improved using the proposed strategy compared with the conventional strategy.
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14

Zalkind, Daniel S., Emiliano Dall'Anese, and Lucy Y. Pao. "Automatic controller tuning using a zeroth-order optimization algorithm." Wind Energy Science 5, no. 4 (November 17, 2020): 1579–600. http://dx.doi.org/10.5194/wes-5-1579-2020.

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Abstract. We develop an automated controller tuning procedure for wind turbines that uses the results of nonlinear, aeroelastic simulations to arrive at an optimal solution. Using a zeroth-order optimization algorithm, simulations using controllers with randomly generated parameters are used to estimate the gradient and converge to an optimal set of those parameters. We use kriging to visualize the design space and estimate the uncertainty, providing a level of confidence in the result. The procedure is applied to three problems in wind turbine control. First, the below-rated torque control is optimized for power capture. Next, the parameters of a proportional–integral blade pitch controller are optimized to minimize structural loads with a constraint on the maximum generator speed; the procedure is tested on rotors from 40 to 400 m in diameter and compared with the results of a grid search optimization. Finally, we present an algorithm that uses a series of parameter optimizations to tune the lookup table for the minimum pitch setting of the above-rated pitch controller, considering peak loads and power capture. Using experience gained from the applications, we present a generalized design procedure and guidelines for implementing similar automated controller tuning tasks.
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15

Buyalsky, V. I. "Methods of Increasing the Control Efficiency of Wind Electric Installation by the Account of Vibration Loading the Drive Under Different Conditions of the Energy Unit Operation." Intellekt. Sist. Proizv. 19, no. 3 (2021): 74–81. http://dx.doi.org/10.22213/2410-9304-2021-3-74-81.

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The substantiation of an urgency of a way of effective automated control of wind electric installation by the account of vibration loading a drive is made under different conditions of energy unit operation, aimed at minimization of vibration of all rotor system elements by reducing the error of a mismatch between the angular speed of a rotor wind turbine and a generator rotor that promotes the improvement of reliability of electric supply of the basic control in conditions of the incomplete information on characteristics of the meteorological and electric power conditions that are changing in time considerably. The method is proposed to control the process of electric power manufacture by the development of an optimizing model which would cover the control not only by means of the angle of the electric generator blade revolution, but also by considering the conditions of vibration loading the drive under different conditions of the energy unit operation - and it is the dynamic analysis of frequency interactions of all elements of rotor systems and power interactions from blades of elements, as one of components of the wind loading. The review of the basic ways of controlling the wind turbines is made. It showed, that the use of any of them depends on the provided purpose of control and on the availability of the information on system parameters and a feedback, and it does not solve a problem of alignment of angular speed of the wind turbine rotor and the generator rotor without a mismatch error between them, that generates shock loads, and consequently, vibration of rotor systems. The problem of definition and description of all elements of the energy unit rotor systems is solved. The differential equation of the angular speed of the wind turbine rotor is worked out. Transfer functions of dynamic elements of rotor systems for automatic control taking into account the influence of the wind speed, capacity of the consumed electric power, their block diagram and the schedule of the transient process of regulating the angular speed of the wind turbine rotor are constructed.
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16

Rochman, Sagita, Krishna Wijayakusuma, and Rivaldo Josua Jetrin Rolos. "DESIGN AND CONSTRUCTION OF VERTICAL HELIX SAVONIUS WIND TURBINE FOR PUBLIC STREET LIGHTING." BEST : Journal of Applied Electrical, Science, & Technology 4, no. 2 (November 28, 2022): 47–50. http://dx.doi.org/10.36456/best.vol4.no2.6158.

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Wind power generator for lighting public roads in Tambakrejo Village, Sumbermanjing District, Malang Regency in order to minimize the level of traffic accidents. This power plant utilizes wind resources that blow to drive a wind turbine generator that will produce electrical energy. The use of wind to become electrical energy is designed from a vertical helix savonius type wind turbine as a medium for receiving wind gusts that will drive a generator to create electrical energy. The advantage of this helix savonius wind turbine can accommodate all cardinal directions because it has 2 blades that rotate 180. The role of the battery is to store electrical energy before it is distributed for public street lighting. Wind turbines or wind power plants are one of the renewable energy sources that are environmentally friendly and are starting to be widely developed at this time. In the storage and use of this electrical energy, it is very necessary to pay attention so that there is no overcharging / overcharge and excess usage / overdischarge. Therefore, the charge controller battery charging setting is used which will regulate charging or discharging. From the battery it will be connected to the Photocell for automatic control when it is dark and the light will turn on.
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17

Huo, Zhihong. "Distributed event‐triggered robust automatic generation control for networked power system with wind turbines." IET Renewable Power Generation 15, no. 3 (January 28, 2021): 562–73. http://dx.doi.org/10.1049/rpg2.12036.

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18

Niazi, Khaleequr Rehman, and Gulshan Sharma. "Study on Dynamic Participation of Wind Turbines in Automatic Generation Control of Power Systems." Electric Power Components and Systems 43, no. 1 (November 20, 2014): 44–55. http://dx.doi.org/10.1080/15325008.2014.963266.

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19

Stüker, Eduardo, Franciano Scremin Puhales, Luiz Eduardo Medeiros, and Felipe Denardin Costa. "Avaliação da esteira de turbulência gerada por um parque eólico teórico na região do Pampa Gaúcho utilizando o modelo WRF." Ciência e Natura 42 (August 28, 2020): e27. http://dx.doi.org/10.5902/2179460x47025.

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The main objective of this study is to analyze the influence of a wind farm on the variables that control the flow in the atmospheric boundary layer. The simulated period was the whole year of 2008, using a control simulation performed with the Weather Research and Forecasting model (WRF), and the wind farm model (the WRF model with the module Fitch, which parameters the influence of wind turbines on atmospheric flow). Both simulations using the Yonsei-University (YSU) boundary layer parameterization. From the control simulation is made the validation of the model, using observational data collected in two automatic stations of the National Institute of Meteorology (INMET) in the cities of Alegrete-RS and Quaraí-RS. The wind farm idealized in this work has 100 wind generators of 3 MW of power with 120 m in height and with rotor measuring 125 m in diameter. Although the wind speed responds adequately, the temperature and turbulence of near-surface runoff decrease. Analysis of the dependence of near-surface turbulence with vertical stability indicates that the turbulence being generated by the turbines is not reaching the surface. This problem may be related to the chosen boundary layer parameterization.
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20

Iannace, Gino, Amelia Trematerra, and Giuseppe Ciaburro. "Case study: Automated recognition of wind farm sound using artificial neural networks." Noise Control Engineering Journal 68, no. 2 (March 20, 2020): 157–67. http://dx.doi.org/10.3397/1/376814.

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Wind energy has been one of the most widely used forms of energy since ancient times, with it being a widespread type of clean energy, which is available in mechanical form and can be efficiently transformed into electricity. However, wind turbines can be associated with concerns around noise pollution and visual impact. Modern turbines can generate more electrical power than older turbines even if they produce a comparable sound power level. Despite this, protests from citizens living in the vicinity of wind farms continue to be a problem for those institutions which issue permits. In this article, acoustic measurements carried out inside a house were used to create a model based on artificial neural networks for the automatic recognition of the noise emitted by the operating conditions of a wind farm. The high accuracy of the models obtained suggests the adoption of this tool for several applications. Some critical issues identified in a measurement session suggest the use of additional acoustic descriptors as well as specific control conditions.
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21

Hasan, Naimul, Ibrahim Alsaidan, Mohammad Sajid, Shahida Khatoon, and Shuaib Farooq. "Hybrid MPC-Based Automatic Generation Control for Dominant Wind Energy Penetrated Multisource Power System." Modelling and Simulation in Engineering 2022 (January 17, 2022): 1–10. http://dx.doi.org/10.1155/2022/5526827.

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This paper presents hybrid model predictive control-based automatic generation regulator design for dominant wind energy penetrated multisource power system. The other power generation sources hydro and thermal are also considered in each area. The proposed AGC regulator is designed for each independent area considering only local power system states to ensure the stability of closed-loop system under small perturbation. The performance of the proposed AGC regulator has been validated for 2% step load perturbation. Furthermore, system parameter is varied to 20% of nominal value to assess the robust performance of the regulator. Performance evaluation between the hybrid MPC, conventional MPC, and traditional AGC regulators considering the dominant participation of the DFIG wind turbines is presented to demonstrate the superior performance of the hybrid MPC AGC regulator.
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22

Oshnoei, Arman, Rahmat Khezri, SM Muyeen, and Frede Blaabjerg. "On the Contribution of Wind Farms in Automatic Generation Control: Review and New Control Approach." Applied Sciences 8, no. 10 (October 9, 2018): 1848. http://dx.doi.org/10.3390/app8101848.

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Wind farms can contribute to ancillary services to the power system, by advancing and adopting new control techniques in existing, and also in new, wind turbine generator systems. One of the most important aspects of ancillary service related to wind farms is frequency regulation, which is partitioned into inertial response, primary control, and supplementary control or automatic generation control (AGC). The contribution of wind farms for the first two is well addressed in literature; however, the AGC and its associated controls require more attention. In this paper, in the first step, the contribution of wind farms in supplementary/load frequency control of AGC is overviewed. As second step, a fractional order proportional-integral-differential (FOPID) controller is proposed to control the governor speed of wind turbine to contribute to the AGC. The performance of FOPID controller is compared with classic proportional-integral-differential (PID) controller, to demonstrate the efficacy of the proposed control method in the frequency regulation of a two-area power system. Furthermore, the effect of penetration level of wind farms on the load frequency control is analyzed.
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23

Kwon, Gookmin, and Yongsug Suh. "Automatic Command Mode Transition Strategy of Direct Power Control for PMSG MV Offshore Wind Turbines." Transactions of the Korean Institute of Power Electronics 21, no. 3 (June 20, 2016): 238–48. http://dx.doi.org/10.6113/tkpe.2016.21.3.238.

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24

Tofighi, Elham, and Amin Mahdizadeh. "Automatic weight determination in nonlinear model predictive control of wind turbines using swarm optimization technique." Journal of Physics: Conference Series 753 (September 2016): 052033. http://dx.doi.org/10.1088/1742-6596/753/5/052033.

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25

Wang, Ling Ling, Wen Xian Tang, Ji Yang Qi, Bao Ma, and Yun Di Cai. "Research on Automatic Balance Control of Self-Elevating Offshore Wind Turbine Installation Vessel." Advanced Materials Research 468-471 (February 2012): 3024–30. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.3024.

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Automatic balance control in the jacking process of the self-elevating offshore wind turbine installation vessel is the guarantee of the vessel’s safe operations. The automatic balance method in the movement of the wind turbine installation vessel is analyzed, and a leveling scheme by the proportion reversing valves as the actuator is proposed. Then, the leveling principle of heavy platform is studied; an automatic balance strategy which is the combination of displacement leveling strategy and angle leveling strategy is given. Also, an automatic balance control system of wind turbine installation vessel which is based on PLC and PROFIBUS-DP fieldbus is established. PLC is as the main controller. Fieldbus adopted to realize data transmission between master and slave. And the balance procedure based on PID is designed. The research shows that the control system has good control effect such as fast response, high precision and good stability.
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Zhu, Yuefan, Xiaoying Liu, Shen Li, Yanbin Wan, and Qiaoqiao Cai. "Wind Turbine Blade Defect Detection Based on Acoustic Features and Small Sample Size." Machines 10, no. 12 (December 7, 2022): 1184. http://dx.doi.org/10.3390/machines10121184.

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Wind power has become an important source of electricity for both production and domestic use. However, because wind turbines often operate in harsh environments, they are prone to cracks, blisters, and corrosion of the blade surface. If these defects cannot be repaired in time, the cracks evolve into larger fractures, which can lead to blade rupture. As such, in this study, we developed a remote non-contact online health monitoring and warning system for wind turbine blades based on acoustic features and artificial neural networks. Collecting a large number of wind turbine blade defect signals was challenging. To address this issue, we designed an acoustic detection method based on a small sample size. We employed the octave to extract defect information, and we used an artificial neural network based on model-agnostic meta-learning (MAML-ANN) for classification. We analyzed the influence of locations and compared the performance of MAML-ANN with that of traditional ANN. The experimental results showed that the accuracy of our method reached 94.1% when each class contained only 50 data; traditional ANN achieved an accuracy of only 85%. With MAML-ANN, the training is fast and the global optimal solution is automatic searched, and it can be expanded to situations with a large sample size.
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27

Zhan, Tao, Jian Xin Sun, and Hua Pu Chen. "Study on Automatic Active Power Control System of Wind Farms." Advanced Materials Research 860-863 (December 2013): 389–93. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.389.

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Based on a "wind power remote monitoring system" project, this paper focus on the modeling and simulation of the wind power variant pitch control system, and also the wind generator active power control OPC CLIENT interface programming. Using the VC++ language and MFC, OPC CLIENT interface was designed for the start-stop control of fan and the active power control of wind farms, which enables the wind farm to accurate and rapid response of the wind power grid load instruction of automatic generation control (AGC). Further, based on the MATLAB/SIMULINK platform, we analyzed the variable pitch control system of the variable pitch wind turbine by modeling and simulation with the Denmark's VESTAS V80-2000 (2MV).
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28

Fazylova, Alina. "CALCULATION OF THE PARAMETERS OF THE WIND TURBINE ROTOR TEMPERATURE SENSOR." Вестник КазАТК 118, no. 3 (September 17, 2021): 141–49. http://dx.doi.org/10.52167/1609-1817-2021-118-3-141-149.

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Today, all the processes associated with technology, mainly operate in autonomous modes, so devices such as a temperature sensor are a must. Since technical progress is taking place in industry and production by leaps and bounds, all equipment most often used in various kinds of processes and work has an automatic principle of operation [1] However, for productive work, albeit automated units, it is necessary to comply with all the exact indicators at which the device's performance will be the highest. These indicators include values, namely the required, more precisely, the working pressure, speed, and temperature. To prevent rapid wear and overload of automated equipment, the temperature level must be measured. Of course, this is not done with a simple thermometer or thermometer. For these purposes, special devices are used, such as temperature sensors. Wind power is one of the most important renewable energy solutions. As a rule, wind farms are located far from civilization, in remote regions - in hilly areas, on the sea coast [2]. These types of terrain are chosen because wind energy becomes profitable only under conditions that allow obtaining the maximum amount of wind throughout the year. However, the harsher environment calls for more sophisticated wind turbines, usually consisting of towers, blades, hubs and nacelles. To ensure control over all parts of the wind turbine, companies install controllers near the tower. A wind generator controller, like a PLC, is the brain of any wind generator, providing control over the system as a whole, the ability to generate reports and monitoring. The generator must be controlled and programmed; without a controller, it couldn't work correctly. For this reason, the controllers must be connected to a single system for remote monitoring, power generation reporting, parameter monitoring and diagnostic maintenance [3].This article provides an algorithm for calculating a temperature sensor for its correct selection for a wind generator system, which will subsequently be used for a temperature control system in a generator system.
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29

Fazylova, Alina. "CALCULATION OF THE PARAMETERS OF THE WIND TURBINE ROTOR TEMPERATURE SENSOR." Вестник КазАТК 118, no. 3 (September 17, 2021): 141–49. http://dx.doi.org/10.52167/1609-1817-2021-118-3-141-149.

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Today, all the processes associated with technology, mainly operate in autonomous modes, so devices such as a temperature sensor are a must. Since technical progress is taking place in industry and production by leaps and bounds, all equipment most often used in various kinds of processes and work has an automatic principle of operation [1] However, for productive work, albeit automated units, it is necessary to comply with all the exact indicators at which the device's performance will be the highest. These indicators include values, namely the required, more precisely, the working pressure, speed, and temperature. To prevent rapid wear and overload of automated equipment, the temperature level must be measured. Of course, this is not done with a simple thermometer or thermometer. For these purposes, special devices are used, such as temperature sensors. Wind power is one of the most important renewable energy solutions. As a rule, wind farms are located far from civilization, in remote regions - in hilly areas, on the sea coast [2]. These types of terrain are chosen because wind energy becomes profitable only under conditions that allow obtaining the maximum amount of wind throughout the year. However, the harsher environment calls for more sophisticated wind turbines, usually consisting of towers, blades, hubs and nacelles. To ensure control over all parts of the wind turbine, companies install controllers near the tower. A wind generator controller, like a PLC, is the brain of any wind generator, providing control over the system as a whole, the ability to generate reports and monitoring. The generator must be controlled and programmed; without a controller, it couldn't work correctly. For this reason, the controllers must be connected to a single system for remote monitoring, power generation reporting, parameter monitoring and diagnostic maintenance [3].This article provides an algorithm for calculating a temperature sensor for its correct selection for a wind generator system, which will subsequently be used for a temperature control system in a generator system.
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30

Meyer, Angela. "Vibration Fault Diagnosis in Wind Turbines Based on Automated Feature Learning." Energies 15, no. 4 (February 18, 2022): 1514. http://dx.doi.org/10.3390/en15041514.

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A growing number of wind turbines are equipped with vibration measurement systems to enable the close monitoring and early detection of developing fault conditions. The vibration measurements are analyzed to continuously assess the component health and prevent failures that can result in downtimes. This study focuses on gearbox monitoring but is also applicable to other subsystems. The current state-of-the-art gearbox fault diagnosis algorithms rely on statistical or machine learning methods based on fault signatures that have been defined by human analysts. This has multiple disadvantages. Defining the fault signatures by human analysts is a time-intensive process that requires highly detailed knowledge of gearbox composition. This effort needs to be repeated for every new turbine, so it does not scale well with the increasing number of monitored turbines, especially in fast-growing portfolios. Moreover, fault signatures defined by human analysts can result in biased and imprecise decision boundaries that lead to imprecise and uncertain fault diagnosis decisions. We present a novel accurate fault diagnosis method for vibration-monitored wind turbine components that overcomes these disadvantages. Our approach combines autonomous data-driven learning of fault signatures and health state classification based on convolutional neural networks and isolation forests. We demonstrate its performance with vibration measurements from two wind turbine gearboxes. Unlike the state-of-the-art methods, our approach does not require gearbox-type-specific diagnosis expertise and is not restricted to predefined frequencies or spectral ranges but can monitor the full spectrum at once.
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Ullah, Kaleem, Abdul Basit, Zahid Ullah, Rafiq Asghar, Sheraz Aslam, and Ayman Yafoz. "Line Overload Alleviations in Wind Energy Integrated Power Systems Using Automatic Generation Control." Sustainability 14, no. 19 (September 20, 2022): 11810. http://dx.doi.org/10.3390/su141911810.

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Modern power systems are largely based on renewable energy sources, especially wind power. However, wind power, due to its intermittent nature and associated forecasting errors, requires an additional amount of balancing power provided through the automatic generation control (AGC) system. In normal operation, AGC dispatch is based on the fixed participation factor taking into account only the economic operation of generating units. However, large-scale injection of additional reserves results in large fluctuations of line power flows, which may overload the line and subsequently reduce the system security if AGC follows the fixed participation factor’s criteria. Therefore, to prevent the transmission line overloading, a dynamic dispatch strategy is required for the AGC system considering the capacities of the transmission lines along with the economic operation of generating units. This paper proposes a real-time dynamic AGC dispatch strategy, which protects the transmission line from overloading during the power dispatch process in an active power balancing operation. The proposed method optimizes the control of the AGC dispatch order to prevent power overflows in the transmission lines, which is achieved by considering how the output change of each generating unit affects the power flow in the associated bus system. Simulations are performed in Dig SILENT software by developing a 5 machine 8 bus Pakistan’s power system model integrating thermal power plant units, gas turbines, and wind power plant systems. Results show that the proposed AGC design efficiently avoids the transmission line congestions in highly wind-integrated power along with the economic operation of generating units.
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Zhang, Bo, Hexuan Chen, Tao Wang, and Zhuo Wang. "Design and Experiment of a Lifting Tool for Hoisting Offshore Single-Pile Foundations." Machines 9, no. 2 (February 3, 2021): 29. http://dx.doi.org/10.3390/machines9020029.

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Experiments with a cam-type clamp tool were carried out to overcome the difficulty of transporting and installing large-diameter mono-piles for offshore wind turbines. Using the experiments method to design a small wedge-type clamping mechanism and using cam teeth made of 40Cr material resulted in the maximum friction for the mechanism. A single clamping design was created for the cam-type clamp tool to hoist mono-piles for offshore wind turbines. Through force analysis and Automatic Dynamics Analysis of Mechanical System (ADAMS) dynamic simulation of the lifting tool, it was calculated that the clamping force of the lifting tool meets application requirements. A prototype was built in order to carry out an experiment in which the lifting tool hoisted a mono-pile. It was concluded from the experiment that the proposed design of the lifting tool is feasible in practical applications.
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33

Razzhivin, Igor. "Development of Automatic Pitch Angle Control Mathematical Model for Type-4 Wind Turbines Specialized Hybrid Processor." PRZEGLĄD ELEKTROTECHNICZNY 1, no. 3 (March 1, 2021): 62–65. http://dx.doi.org/10.15199/48.2021.03.11.

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34

Mussilimov, Kuanysh, Akhmet Ibraev, and Waldemar Wójcik. "DEVELOPMENT OF WIND ENERGY COMPLEX AUTOMATION SYSTEM." Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska 9, no. 2 (June 21, 2019): 36–40. http://dx.doi.org/10.5604/01.3001.0013.2545.

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Wind power is one of the three main renewable energy sources, along with solar and hydropower, which are widely used to produce electricity worldwide. As an energy resource, wind is widespread and can provide electricity to much of the world, but it is both intermittent and unpredictable, making it difficult to rely on wind power alone. However, when used in combination with other types of production or in combination with energy storage, wind can make a valuable contribution to the global energy balance. Over the past few decades, wind power has emerged in a number of countries as a separate energy sector that has successfully competed with conventional energy. Attention is paid to wind power plants (WT) as part of distribution and transmission networks. In this regard, an urgent scientific and technical task is the efficient use of wind potential, which is not only to improve aerodynamic characteristics WT, but also to increase productivity WT as a whole. This article presents the type of wind turbines, among the possible applications and very promising is the wind turbine Bolotov (WRTB), which by its technical characteristics surpasses the traditional propeller and other installations using wind energy in the production of electrical energy. The increase (WEUF - wind energy utilization factor) in all modes of operation WT by improving various methods of automatic control is relevant, and the proposed work is devoted to this issue.
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35

Sharma, Gulshan, Ibraheem Nasiruddin, and Khaleequr Rehman Niazi. "Optimal Automatic Generation Control of Asynchronous Power Systems Using Output Feedback Control Strategy with Dynamic Participation of Wind Turbines." Electric Power Components and Systems 43, no. 4 (February 9, 2015): 384–98. http://dx.doi.org/10.1080/15325008.2014.949916.

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36

Sheryazov, Saken Koyshybaevich, Sultanbek Sansyzbaevich Issenov, Ruslan Maratbekovich Iskakov, and Argyn Bauyrzhanuly Kaidar. "Special Aspects of Using the Wind Power Plants In the Power Supply System." E3S Web of Conferences 288 (2021): 01003. http://dx.doi.org/10.1051/e3sconf/202128801003.

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The paper describes special aspects of using the wind power plants (wind turbines) in the power grid. The paper provides the classification and schematic presentation of AC wind turbines, analyzes the role, place and performance of wind power plants in Smart Grid systems with a large share of renewable energy sources. The authors also reviews a detailed analysis of existing AC wind turbines in this paper. Recommendations are given for how to enhance the wind power plants in smart grids in terms of reliability, and introduce the hardware used in the generation, conversion and interface systems into the existing power grid. After the wind power plants had been put online, the relevance of the Smart Grid concept for existing power grids was obvious. The execution of such projects is assumed to be financially costly, requires careful study, and development of flexible algorithms, but in some cases this may be the only approach. The analysis of using wind turbines shows that the structural configuration of wind power plants can be based on the principles known in the power engineering. The approaches may differ, not fundamentally, but in engineering considerations. it is necessary to point out that the method of controlling dual-power machines is quite comprehensive so that their wide use will face operational problems caused by the lack of highly professional specialists in electric drives. Therefore, it seems advisable to use square-cage asynchronous generators in wide applications. The paper shows that as the renewable energy sources are largely used in power grids, there is an issue of maintaining the power generation at a required level considering the variability of incoming wind energy. This results in the malfunctions in the operation of relay protection devices and emergency control automatics (RP and ECA), and the complicated control. Also, the standards of the CIS countries and regulatory documents miss the requirements for the wind turbine protections, taking into account their specialty causing the inefficient standard protective logic, which does not work correctly in a number of abnormal and emergency operating modes, and especially Smart Grid in power grids.
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Pacheco, João, Gustavo Oliveira, Filipe Magalhães, Carlos Moutinho, and Álvaro Cunha. "Vibration-Based Monitoring of Wind Turbines: Influence of Layout and Noise of Sensors." Energies 14, no. 2 (January 15, 2021): 441. http://dx.doi.org/10.3390/en14020441.

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The reduction in operating and maintenance costs of wind farms is a fundamental element to guarantee the competitiveness and growth of the wind market. Wind turbines are highly dynamic structures prone to wear during their lifetime. Therefore, dynamic monitoring systems represent an excellent option to continuously evaluate their structural conditions. These systems allow early detection of damages, permit a proactive response, minimising downtime, and maximising productivity. In this context, the present paper describes the main results obtained with alternative instrumentation strategies tested in a 2.0 MW onshore wind turbine to reduce the costs of the monitoring equipment and at the same time ensure an adequate accuracy in structural condition evaluation. The data processing strategy encompasses the use of operational modal analysis combined with algorithms that deal with the particularities of operation of the wind turbines to continuously track the main vibration modes. After this automated online identification, the influence of the environmental and operating conditions on the tracked natural frequencies is mitigated, making the detection of abnormal variations of the natural frequencies possible, which might flag the appearance of damage. A database of continuously collected acceleration time series during one year is adopted to test the efficiency of alternative monitoring system layouts in detecting simulated damage scenarios. The tested alternative monitoring layouts present a varying number of sensors, alternative distributions in the wind turbine tower, and different sensor noise levels.
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38

Razzhivin, I. A., N. Yu Ruban, V. E. Rudnik, and A. S. Gusev. "Evaluation of the effect of wind-operated power plants on the total inertia of an electric power system." Proceedings of Irkutsk State Technical University 25, no. 2 (May 2, 2021): 220–34. http://dx.doi.org/10.21285/1814-3520-2021-2-220-234.

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This paper is aimed at determining the effect of a variable number of Type 4 wind turbines in the total generation of the corresponding electric power system on the parameters of an asynchronous regime of such a system. Processes occurring in an electric power system were simulated using an all-mode real-time simulation complex of electric power systems constituting a multi-processor software and hardware system. A model of an electric power system was developed, which, in addition to conventional power sources, included a wind-operated power plant combining a variable number of Type 4 wind turbines. The automatic control system of the simulated wind-operated power plant comprised a control loop (in terms of active power and voltage) equipped with an additional regulator of virtual inertia. An analysis of changes in the parameters of the asynchronous regime using a virtual inertia algorithm showed that the time of its advancement along the protected line was reduced maximally by 0.1 s. However, the time of the first cycle of asynchronous motion between two generators in the post-emergency regime increased by 2 times. Thus, for a wind-operated plant with a capacity of 100 MW, the time of asynchronous motion was 0.36 sec and 0.74 sec without using and when using a virtual inertia algorithm, respectively. It was experimentally confirmed that an increase in the power of a wind-operated power plant leads to a decrease in both the time of advancement of the asynchronous regime and the time, during which conventional generators transit from the synchronous regime. The latter was evidenced by the effect of Type 4 wind turbines on the value of total inertia, which ranged from 8.746 to 5.478 s. A study of the virtual inertia algorithm confirmed its impact on the electromechanical transient processes in power systems. The most favourable effect was noted at a virtual inertia value of 2 s and a wind-operated power plant capacity of 100 MW.
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39

Anamaria, Nitu. "Automatic control of the synchronous generator converter with permanent magnets of a wind turbine." Scientific Bulletin of Naval Academy XXIII, no. 2 (December 15, 2020): 320–25. http://dx.doi.org/10.21279/1454-864x-20-i2-110.

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he work presents a method of automatic control of the frequency converter of the wind turbine generator so that it operates in the maximum power zone charged at a continuous and rapid wind speed variation to which is added as a disruptive element and the mechanical inertia of the turbine. The method is based on the control and knowledge of the current value in the intermediate circuit of the converter.
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40

Salvadori, Luca, Annalisa Di Bernardino, Giorgio Querzoli, and Simone Ferrari. "A Novel Automatic Method for the Urban Canyon Parametrization Needed by Turbulence Numerical Simulations for Wind Energy Potential Assessment." Energies 14, no. 16 (August 13, 2021): 4969. http://dx.doi.org/10.3390/en14164969.

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The energy transition to more sustainable forms is currently ongoing worldwide, because of the environmental impacts produced by the non-renewable energy sources employed in the last decades. Among the main alternatives, wind plays a key role and, nowadays, innovative instruments, such as small-scale turbines allow for installation of wind turbines in urban areas. Their energy potential assessment requires high-accuracy simulations of the turbulent flows in the urban canopy layer, which, in turn, require detailed information about the geometrical properties of the basic element to classify urban surfaces, i.e., the urban canyon, often not available. In this work, we propose a novel automatic method, based on Voronoi graph, to univocally identify urban canyons and to extract their geometrical parameters from online available GIS (Geographic Information System) data, and test it on four European cities that differ in size, story and location. Results show the capability of the method to identify the single urban canyon and to properly extract its geometrical parameters, which tend to assume similar values for the largest cities. Moreover, we first attempt to propose and test some curves to generally describe the data probability distribution, which may be useful for turbulence simulations for urban wind energy assessment and planning. The best results are found for the canyon aspect ratio.
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41

He, Qun, Guo Qian Jiang, Zi Kou Yu, and Ping Xie. "Research and Design of the Remote Monitoring System for Power Quality in Wind Farms." Applied Mechanics and Materials 263-266 (December 2012): 387–91. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.387.

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Rapid development of wind power generation and increasing growth of installed capacity of wind turbines make it necessary to study the power quality in wind farms. To monitoring the power quality in wind farms automatically and in real time, this paper presents a remote monitoring system for power quality based on LabVIEW software and Internet technology. The remote panel technology in LabVIEW and the Browser/Client (B/S) mode are adopted. This system mainly consists of monitoring hardware devices, the server, LabVIEW application software and remote clients. In the system, the remote clients in monitoring center workstations can monitor in real time power quality parameters of each wind turbine in wind farms through the VI control panel in the Internet browser. Thus it enables to improve automation level of wind farms and reduce operation and maintenance cost. The feasibility and coordination of the developed system are validated by experimental simulating results in the laboratory environment.
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42

Rani, Ankita, Harinder Singh, and Krishan Arora. "Automatic Generation Control of Two Equal Areas with Traditional Controllers." International Journal of Power Electronics and Drive Systems (IJPEDS) 7, no. 3 (September 1, 2016): 610. http://dx.doi.org/10.11591/ijpeds.v7.i3.pp610-616.

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Automatic generation control (AGC) is major issue in power system whose main purpose is to maintain the frequency and tie line power flow during normal period in an interconnected system. . Thus, It is the responsibility of the Power system engineers to ensure that adequate power is delivered to the load reliably and economically so that nominal condition will be re-established The main focus is to maintain the value of frequency in its prescribed limit. We use renewable source which are important as well as non renewable sources at the level of extinct. As renewable alone cannot reliable then we use interconnection of both for making the system reliable and more efficient.This research paper is devoted to explore the interconnection of the automatic generation control of hydro power system and wind system. The wind system is comprised with governor dead band, generation rate constraint and turbine dynamics where as the hydro system is comprised with generation rate constraint. The traditional PI controller does not have adequate control performance with the consideration of nonlinearities and turbine dynamics. To overcome this drawback, PID controllers helps in solving optimization problems by exploitation of random search. It will provide the system security also for maintain the frequency in prescribed limit with the help of simulation.
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43

Wei, Liejiang, Zengguang Liu, Yuyang Zhao, Gang Wang, and Yanhua Tao. "Modeling and Control of a 600 kW Closed Hydraulic Wind Turbine with an Energy Storage System." Applied Sciences 8, no. 8 (August 7, 2018): 1314. http://dx.doi.org/10.3390/app8081314.

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In this paper, an innovative closed hydraulic wind turbine with an energy storage system is proposed. The hydraulic wind turbine consists of the wind rotor, the variable pump, the hydraulic bladder accumulator, the variable motor, and the synchronous generator. The wind energy captured by the wind rotor is converted into hydraulic energy by the variable pump, and then the hydraulic energy is transformed into electrical energy by the variable motor and generator. In order to overcome the fluctuation and intermittence shortcomings of wind power, the hydraulic bladder accumulator is used as an energy storage system in this system to store and release hydraulic energy. A double-loop speed control scheme is presented to allow the wind rotor to operate at optimal aerodynamic performance for different wind speeds and hold the motor speed at the synchronous speed to product constant frequency electrical power regardless of the changes of wind speed and load power. The parameter design and modeling of 600 kW hydraulic wind turbine are accomplished according to the Micon 600 kW wind turbine. Ultimately, time-domain simulations are completed to analyze the dynamic response of the hydraulic wind turbine under the step change conditions of wind speed, rotor speed input, and load power. The simulation results validate the efficiency of the hydraulic wind turbine and speed control scheme presented, moreover, they also show that the systems can achieve the automatic matching among turbine energy, accumulator energy, and generator output energy.
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44

Hichem, Hamiani, Mansouri Abdellah, Tadjeddine Ali Abderrazak, Belaidi Abdelkader, and Salim Ramzi. "A wind turbine sensorless automatic control systems, analysis, modelling and development of IDA-PBC method." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 1 (March 1, 2020): 45. http://dx.doi.org/10.11591/ijpeds.v11.i1.pp45-55.

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<p>Several non-linear controls are developed for controlling a wind energy conversion system equipped with a DFIG double feed asynchronous generator. Exploitation of the aerodynamic power captured by the turbine gives a new instruction to the controller based on passivity by keeping the hypersynchronous regime of the DFIG. An adaptive observer MRAS was developed for the considered as a structure in which the rotor speed is estimated from the measurement of stator and rotor currents. Our goal is to maximize active power, minimize construction costs in order to control wind turbine systems using our passivity and observation method. Best results were obtained using sensorless MPPT and IDA-PBC methods.</p>
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45

King, Ryan N., Katherine Dykes, Peter Graf, and Peter E. Hamlington. "Optimization of wind plant layouts using an adjoint approach." Wind Energy Science 2, no. 1 (March 10, 2017): 115–31. http://dx.doi.org/10.5194/wes-2-115-2017.

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Abstract. Using adjoint optimization and three-dimensional steady-state Reynolds-averaged Navier–Stokes (RANS) simulations, we present a new gradient-based approach for optimally siting wind turbines within utility-scale wind plants. By solving the adjoint equations of the flow model, the gradients needed for optimization are found at a cost that is independent of the number of control variables, thereby permitting optimization of large wind plants with many turbine locations. Moreover, compared to the common approach of superimposing prescribed wake deficits onto linearized flow models, the computational efficiency of the adjoint approach allows the use of higher-fidelity RANS flow models which can capture nonlinear turbulent flow physics within a wind plant. The steady-state RANS flow model is implemented in the Python finite-element package FEniCS and the derivation and solution of the discrete adjoint equations are automated within the dolfin-adjoint framework. Gradient-based optimization of wind turbine locations is demonstrated for idealized test cases that reveal new optimization heuristics such as rotational symmetry, local speedups, and nonlinear wake curvature effects. Layout optimization is also demonstrated on more complex wind rose shapes, including a full annual energy production (AEP) layout optimization over 36 inflow directions and 5 wind speed bins.
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46

Bijami, Ehsan, and Malihe M. Farsangi. "Networked distributed automatic generation control of power system with dynamic participation of wind turbines through uncertain delayed communication network." IET Renewable Power Generation 11, no. 8 (June 2017): 1254–69. http://dx.doi.org/10.1049/iet-rpg.2016.0508.

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47

Ukhanova, Viktoriya Yu. "Automated Control of a Wind Generator for Agricultural Production." Elektrotekhnologii i elektrooborudovanie v APK 2, no. 43 (2021): 36–40. http://dx.doi.org/10.22314/2658-4859-2021-68-2-36-40.

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The use of inexhaustible or renewable energy sources (water, wind, solar, Earth heat) is an urgent task both in Russia and in the world. According to expert estimates, the Russian Federation has a large global wind potential. Efficient use of energy resources, including renewable energy sources, is the way to increase the energy efficiency of agricultural production. The share of energy consumption in the total cost of production reaches 32 percent in some industries. In recent years, many new consumers have arised, for whom the choice of a rational energy supply system is important at the design stage. For producers of agricultural products, the problem of the quality of electricity supply is also acute. Taking into account the specifics of agricultural areas, it can be concluded that it is local and renewable energy sources that will help to successfully solve the problems of uninterrupted energy supply and energy conservation. (Research purpose) The research purpose is in assessing the impact of the quality of electricity supply on agricultural production facilities and identifying modern domestic equipment that reduces the risks of using renewable energy sources in agricultural production. (Materials and methods) Author used the calculation and analytical method to evaluate the average indicators of electricity costs at livestock enterprises. The article presents a review of the automated control systems of the wind generator based on the equipment of the Russian manufacturer OWEN. (Results and discussion) Author studied the control system of a wind generator on the example of an installation used in the territory of the agricultural enterprise "Melnikovo" of the Gvardeysky district of the Kaliningrad region. The control system reduces the risks associated with the operation of the wind generator. (Conclusions) This system, which was put into operation in 2019, makes it possible to avoid failures in the operation of the wind generator. Work is underway to develop modern technical solutions for remote recovery of wind turbines, which is important when services are remote.
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48

Pang, Yu, Limin Jia, Xuejia Zhang, Zhan Liu, and Dazi Li. "Design and implementation of automatic fault diagnosis system for wind turbine." Computers & Electrical Engineering 87 (October 2020): 106754. http://dx.doi.org/10.1016/j.compeleceng.2020.106754.

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49

Fursanov, M. I. "CIRCUIT-DESIGN SOLUTIONS AND INFORMATION SUPPORT OF CITY ELECTRIC NETWORKS IN THE CONDITIONS OF THE SMART GRID." ENERGETIKA. Proceedings of CIS higher education institutions and power engineering associations 60, no. 5 (September 28, 2017): 393–406. http://dx.doi.org/10.21122/1029-7448-2017-60-5-393-406.

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The structure, circuit-design solutions and information support of the city electric networks in the conditions of the SMART GRID have been analyzed. It is demonstrated that the new conditions of functioning of electric power engineering, increasing demands for its technological state and reliability in most countries determined the transition to a restructuring of electrical networks to be based on the SMART GRID (intelligent power networks) innovative new structure. The definitions of the SMART GRID, its various attributes and characteristics in most developed countries including Belarus are presented. It is revealed that the existing and future circuit and constructive solutions that can automate the process of managing modes of urban electric networks under the SMART GRID conditions are manifold. At present, the most common in distribution networks are the sources of distributed generation (combustion turbines, wind turbines, photovoltaic installations, mini-hydro, etc.). The patterns and problems of information traceability of a traditional urban networks of the unified energy system of Belarus have been analyzed, and it is demonstrated that in the conditions of the SMART GRID most of the problems of the control mode that are characteristic for traditional distribution networks 6–10 kV and 0.38 kV, lose their relevance. Therefore, the present article presents and features the main directions of development of automatic control modes of the SMART GRID.
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50

Ligęza, Paweł, and Paweł Jamróz. "A Hot-Wire Anemometer with Automatically Adjusted Dynamic Properties for Wind Energy Spectrum Analysis." Energies 15, no. 13 (June 24, 2022): 4618. http://dx.doi.org/10.3390/en15134618.

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Hot-wire anemometric measurements are often related to the determination of flow parameters in a high frequency range. Such knowledge is particularly important when analyzing the flow phenomena in the vicinity of wind turbines. The reliability of obtained results is determined by the knowledge of the properties of the system used for measurements. It concerns both the static and dynamic characteristics of individual measurement channels. In studies of hot-wire anemometric systems, a problem related to the unstable transmission bands of such systems and their high dependence on measurement conditions and the system configuration itself has been commonly indicated. This paper presents the results of an investigation of a new type of hot-wire anemometer, allowing for automatic adjustment of its dynamic characteristics under real working conditions. The presented system is dedicated to the analysis of the wind energy spectrum in experimental laboratory tests on reduced-scale models and to specialized in situ measurements.
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