Relevant bibliographies by topics / Wind turbines – Automatic control

Academic literature on the topic 'Wind turbines – Automatic control'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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

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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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Wind turbines – Automatic control"

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Rodríguez, D'Derlée Johel José. "Control strategies for offshore wind farms based on PMSG wind turbines and HVdc connection with uncontrolled rectifier." Doctoral thesis, Universitat Politècnica de València, 2013. http://hdl.handle.net/10251/34510.

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The selection of the bulk power transmission technology in offshore wind farms is strongly related to the wind farm size and its distance to shore. Several alternatives can be evaluated depending on the rated power of the offshore wind farm, the transmission losses and the investment cost for constructing the transmission system. However, when is necessary to connect larger and more distant offshore wind farms; the best technological solution tends to the transmission system based on highvoltage and direct-current with line commutated converters (LCC-HVdc). This dissertation proposes the use of diode-based rectifers as a technical alternative to replace the thyristor-based rectifers in an LCC-HVdc link with unidirectional power flow. This alternative shows advantages with regard to lower conduction losses, lower installation costs and higher reliability. Nonetheless, as a counterpart the offshore ac-grid control performed by the thyristor-based HVdc rectifer is no longer available. This lack of control is compensated by using new control strategies over an offshore wind farm composed by wind turbines with permanent-magnet generators and fully-rated converters. The control strategies have been based mainly on the ability of the wind turbine grid-side converter to perform the control of the offshore ac-grid voltage and frequency. The performance has been evaluated by using PSCAD. Wherein, the most common grid disturbances have been used to demonstrate the fault-ride-through capability as well as the adequate steady state and transient response.
Rodríguez D'derlée, JJ. (2013). Control strategies for offshore wind farms based on PMSG wind turbines and HVdc connection with uncontrolled rectifier [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/34510
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Santos, Richard A. "Damage mitigating control for wind turbines." Connect to online resource, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3256394.

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Tong, Xin. "Control of large offshore wind turbines." Thesis, University of Warwick, 2017. http://wrap.warwick.ac.uk/99841/.

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Several control strategies are proposed to improve overall performances of conventional (geared equipped) and hydrostatic offshore wind turbines. Firstly, to maximise energy capture of a conventional turbine, an adaptive torque control technique is proposed through simplifying the conventional extremum seeking control algorithm. Simulations are conducted on the popular National Renewable Energy Laboratory (NREL) monopile 5-MW baseline turbine. The results demonstrate that the simplified ESC algorithms are quite effective in maximising power generation. Secondly, a TMD (tuned mass damper) system is configured to mitigate loads on a monopile turbine tower whose vibrations are typically dominated by its first mode. TMD parameters are obtained via H2 optimisation based on a spatially discretised tower-TMD model. The optimal TMDs are assessed through simulations using the NREL monopile 5-MW baseline model and achieve substantial tower load reductions. In some cases it is necessary to damp tower vibrations induced by multiple modes and it is well-known that a single TMD is lack of robustness. Thus a control strategy is developed to suppress wind turbine’s vibrations (due to multiple modes) using multiple groups of TMDs. The simulation studies demonstrate the superiority of the proposed methods over traditional ones. Thirdly, the NREL 5-MW baseline turbine model is transformed into a hydrostatic wind turbine (HWT). An H∞ loop-shaping torque controller and a light detection and ranging-based linear-parameter-varying anti-windup pitch controller are designed for the HWT. The tests on a monopile HWT model indicate good tracking behaviours of the torque controller and much improved performances of the linear-parameter-varying pitch controller over a gain-scheduled PI pitch controller. Finally, the hydraulic reservoir of a barge HWT is made into a bidirectional-tuned- liquid-column-damper (BTLCD) to suppress barge pitch and roll motions. The simulation results validate the effectiveness of the optimal BTLCD reservoir in reducing the tower loads and power fluctuations.
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Lee, Donghoon. "Multi-flexible-body analysis for applications to wind turbine control design." Diss., Available online, Georgia Institute of Technology, 2004:, 2003. http://etd.gatech.edu/theses/available/etd-04052004-180040/unrestricted/lee%5Fdonghoon%5F200312%5Fphd.pdf.

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Fégeant, Olivier. "Noise from wind turbines /." Stockholm, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3100.

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Lindeberg, Eivind. "Optimal Control of Floating Offshore Wind Turbines." Thesis, Norwegian University of Science and Technology, Department of Engineering Cybernetics, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9933.

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Floating Offshore Wind Power is an emerging and promising technology that is particularly interesting from a Norwegian point of view because of our long and windy coast. There are however still several remaining challenges with this technology and one of them is a possible stability problem due to positive feedback from tilt motion of the turbine tower. The focus of this report is to develope a simulator for a floating offshore wind turbine that includes individual, vibrating blades. Several controllers are developed, aiming to use the blade pitch angle and the generator power to control the turbine speed and output power, while at the same time limit the low-frequent motions of the tower and the high-frequent motions of the turbine blades. The prime effort is placed on developing a solution using Model Predictive Control(MPC). On the issue of blade vibrations no great progress has been made. It is not possible to conclude from the simulation results that the designed controllers are able to reduce the blade vibrations. However, the MPC controller works very well for the entire operating range of the turbine. A "fuzzy"-inspired switching algorithm is developed and this handles the transitions between the different operating ranges of the turbine convincingly. The problem of positive feedback from the tower motion is handled well, and the simulations do not indicate that this issue should jeopardize the viability of floating offshore wind turbines.

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Cantoni, Lorenzo. "Load Control Aerodynamics in Offshore Wind Turbines." Thesis, KTH, Kraft- och värmeteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-291417.

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Due to the increase of rotor size in horizontal axis wind turbine (HAWT) during the past 25 years in order to achieve higher power output, all wind turbine components and blades in particular, have to withstand higher structural loads. This upscalingproblem could be solved by applying technologies capable of reducing aerodynamic loads the rotor has to withstand, either with passive or active control solutions. These control devices and techniques can reduce the fatigue load upon the blades up to 40% and therefore less maintenance is needed, resulting in an important money savings for the wind farm manager. This project consists in a study of load control techniques for offshore wind turbines from an aerodynamic and aeroelastic point ofview, with the aim to assess a cost effective, robust and reliable solution which could operate maintenance free in quite hostile environments. The first part of this study involves 2D and 3D aerodynamic and aeroelastic simulations to validate the computational model with experimental data and to analyze the interaction between the fluid and the structure. The second part of this study is an assessment of the unsteady aerodynamic loads produced by a wind gust over the blades and to verify how a trailing edge flap would influence the aerodynamic control parameters for the selected wind turbine blade.
På grund av ökningen av rotorstorleken hos horisontella vindturbiner (HAWT) under de senaste 25 åren, en design som har uppstod för att uppnå högre effekt, måste alla vindkraftkomponenter och blad stå emot högre strukturella belastningar. Detta uppskalningsproblem kan lösas genom att använda metoder som kan minska aerodynamiska belastningar som rotorn måste tåla, antingen med passiva eller aktiva styrlösningar. Dessa kontrollanordningar och tekniker kan minska utmattningsbelastningen på bladen med upp till 40 % och därför behövs mindre underhåll, vilket resulterar i viktiga besparingar för vindkraftsägaren. Detta projekt består av en studie av lastkontrolltekniker för havsbaserade vindkraftverk ur en aerodynamisk och aeroelastisk synvinkel, i syfte att bedöma en kostnadseffektiv, robust och pålitlig lösning som kan fungera underhållsfri i tuffa miljöer. Den första delen av denna studie involverar 2D- och 3D-aerodynamiska och aeroelastiska simuleringar för att validera beräkningsmodellen med experimentella data och för att analysera interaktionen mellan fluiden och strukturen. Den andra delen av denna studie är en bedömning av de ojämna aerodynamiska belastningarna som produceras av ett vindkast över bladen och för att verifiera hur en bakkantklaff skulle påverka de aerodynamiska styrparametrarna för det valda vindturbinbladet.
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Goodfellow, David. "Variable speed operation of wind turbines." Thesis, University of Leicester, 1986. http://hdl.handle.net/2381/7822.

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This work describes a control system in which a cycloconverter is connected between the secondary windings of a three phase induction machine and the a. c. mains supply to give variable speed sub- and super –synchronously. In order to control the system smoothly in an asynchronous mode a secondary emf signal generator has been designed, which enables the cycloconverter to operate in synchronism with the emf induced in the secondary windings of the machine. A computer programme has been written which calculates the required firing angles for the cycloconverter to produce secondary current in phase with the secondary emf in the machine. An electronic system has been built which ensures that these firing angles are used by the cycloconverter during actual operation. A cycloconverter has been built, using an effective six phases of mains supply, and has been successfully operated over a range of 20% about synchronous speed in both generating and motoring modes. Results show the ability of the cycloconverter to drive the machine up from standstill as a motor to just below 20% subsynchronous speed. An on-line computer simulation of a wind turbine has been developed which enables an assessment of variable speed generation applied to wind turbines to be achieved. This simulation, in connection with a d. c. machine and thyristor controller, can be used to drive the shaft of the induction machine and assess operation of the cycloconverter control scheme under actual wind turbine operating conditions.
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Momsen, Timothy Benjamin. "Hybrid additive manufacturing platform for the production of composite wind turbine blade moulds." Thesis, Nelson Mandela Metropolitan University, 2017. http://hdl.handle.net/10948/19091.

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This dissertation discusses the application of additive manufacturing technologies for production of a large-scale rapid prototyping machine, which will be used to produce moulds for prototype composite turbine blades for the emerging renewables energy industry within the Eastern Cape region in South Africa. The conceptualization and design of three complete printer builds resulted in the amalgamation of a final system, following stringent theoretical design, simulation, and feasibility analysis. Following the initial product design cycle stage, construction and performance testing of a large-scale additive manufacturing platform were performed. In-depth statistical analysis of the mechatronic system was undertaken, particularly related to print-head locational accuracy, repeatability, and effects of parameter variation on printer performance. The machine was analysed to assess feasibility for use in the mould-making industry with accuracy and repeatability metrics of 0.121 mm and 0.156 mm rivalling those produced by some of the more accurate fused deposition modellers commercially available. The research data gathered serves to confirm that rapid prototyping is a good alternative manufacturing method for wind turbine blade plug and mould production.
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Feng, Xiaoran. "Predictive control approaches to fault tolerant control of wind turbines." Thesis, University of Hull, 2014. http://hydra.hull.ac.uk/resources/hull:10517.

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This thesis focuses on active fault tolerant control (AFTC) of wind turbine systems. Faults in wind turbine systems can be in the form of sensor faults, actuator faults, or component faults. These faults can occur in different locations, such as the wind speed sensor, the generator system, drive train system or pitch system. In this thesis, some AFTC schemes are proposed for wind turbine faults in the above locations. Model predictive control (MPC) is used in these schemes to design the wind turbine controller such that system constraints and dual control goals of the wind turbine are considered. In order to deal with the nonlinearity in the turbine model, MPC is combined with Takagi-Sugeno (T-S) fuzzy modelling. Different fault diagnosis methods are also proposed in different AFTC schemes to isolate or estimate wind turbine faults. The main contributions of the thesis are summarized as follows: A new effective wind speed (EWS) estimation method via least-squares support vector machines (LSSVM) is proposed. Measurements from the wind turbine rotor speed sensor and the generator speed sensor are utilized by LSSVM to estimate the EWS. Following the EWS estimation, a wind speed sensor fault isolation scheme via LSSVM is proposed. A robust predictive controller is designed to consider the EWS estimation error. This predictive controller serves as the baseline controller for the wind turbine system operating in the region below rated wind speed. T-S fuzzy MPC combining MPC and T-S fuzzy modelling is proposed to design the wind turbine controller. MPC can deal with wind turbine system constraints externally. On the other hand, T-S fuzzy modelling can approximate the nonlinear wind turbine system with a linear time varying (LTV) model such that controller design can be based on this LTV model. Therefore, the advantages of MPC and T-S fuzzy modelling are both preserved in the proposed T-S fuzzy MPC. A T-S fuzzy observer, based on online eigenvalue assignment, is proposed as the sensor fault isolation scheme for the wind turbine system. In this approach, the fuzzy observer is proposed to deal with the nonlinearity in the wind turbine system and estimate system states. Furthermore, the residual signal generated from this fuzzy observer is used to isolate the faulty sensor. A sensor fault diagnosis strategy utilizing both analytical and hardware redundancies is proposed for wind turbine systems. This approach is proposed due to the fact that in the real application scenario, both analytical and hardware redundancies of wind turbines are available for designing AFTC systems. An actuator fault estimation method based on moving horizon estimation (MHE) is proposed for wind turbine systems. The estimated fault by MHE is then compensated by a T-S fuzzy predictive controller. The fault estimation unit and the T-S fuzzy predictive controller are combined to form an AFTC scheme for wind turbine actuator faults.
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Books on the topic "Wind turbines – Automatic control"

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Laurel, Silk, ed. Wind turbine control systems. Burlington, MA: Jones & Bartlett Learning, 2012.

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Bianchi, Fernando D. Wind turbine control systems: Principles, modelling and gain scheduling design. London: Springer, 2010.

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H, Houpis Constantine, ed. Wind energy systems: Control engineering design. Boca Raton, FL : CRC Press: Taylor & Francis, 2012.

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Doubly fed induction machine: Modeling and control for wind energy generation applications. Hoboken, NJ: IEEE Press, 2011.

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Ran qi lun ji zi dong kong zhi xi tong she ji. Beijing: Ji xie gong ye chu ban she, 1986.

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Olimpo, Anaya-Lara, ed. Wind energy generation: Modelling and control. Hoboken, NJ: John Wiley & Sons, 2009.

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Pinder, J. N. The prediction of propagation of noise from wind turbines with regard to community disturbance. [U.K.]: DTI, 1990.

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Miller, Dean R. Summary of NASA/DOE aileron-control development program for wind turbines. [Washington, DC]: U.S. Dept. of Energy, Conservation and Renewable Energy, Wind/Ocean Technology Division, 1986.

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Petersson, Andreas. Analysis, modeling and control of doubly-fed induction generators for wind turbines. Goteborg, Sweden: Division of Electric Power Engineering, Department of Energy and Environment, Chalmers University of Technology, 2005.

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Wagner, S. Wind turbine noise. Berlin: Springer, 1996.

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Book chapters on the topic "Wind turbines – Automatic control"

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Khezami, Nadhira, Xavier Guillaud, and Naceur Benhadj Braiek. "Multimodel Gain Scheduled Quadratic Controller for Variable-Speed Wind Turbines Performances Improvement." In Informatics in Control Automation and Robotics, 113–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19730-7_8.

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Hau, Erich. "Control Systems and Operational Sequence." In Wind Turbines, 429–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-27151-9_11.

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Wood, David. "Control Volume Analysis for Wind Turbines." In Small Wind Turbines, 31–40. London: Springer London, 2011. http://dx.doi.org/10.1007/978-1-84996-175-2_2.

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Gambier, Adrian. "Parametrization and Reference Wind Turbines." In Advances in Industrial Control, 215–32. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-84895-8_12.

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Kouramas, Konstantinos, and Efstratios N. Pistikopoulos. "Wind Turbines Modeling and Control." In Process Systems Engineering, 195–214. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2014. http://dx.doi.org/10.1002/9783527631209.ch47.

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Kouramas, Konstantinos, and Efstratios N. Pistikopoulos. "Wind Turbines Modeling and Control." In Process Systems Engineering, 195–214. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2011. http://dx.doi.org/10.1002/9783527631292.ch6.

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Pati, Subhranshu Sekhar, and Saroj Kumar Mishra. "Automatic Generation Control of a Wind Turbine Integrated Hydro-thermal Plant with Redox Flow Batteries for 2-Area Interconnected Power System." In Smart Intelligent Computing and Applications, 411–18. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9282-5_39.

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Gasch, Robert, and Jochen Twele. "Supervisory and control systems for wind turbines." In Wind Power Plants, 400–427. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22938-1_12.

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Gálvez-Carrillo, Manuel, Laurent Rakoto, and Michel Kinnaert. "Sensor Fault Diagnosis in Wind Turbines." In Advances in Industrial Control, 267–99. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08413-8_10.

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Fernández, Luis M., Carlos Andrés García, and Francisco Jurado. "Modelling and Control of Wind Turbines." In Handbook of Wind Power Systems, 443–508. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41080-2_14.

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Conference papers on the topic "Wind turbines – Automatic control"

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La Cava, William, Kourosh Danai, Matthew Lackner, Lee Spector, Paul Fleming, and Alan Wright. "Automatic Identification of Closed-Loop Wind Turbine Dynamics via Genetic Programming." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9768.

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Wind turbines are nonlinear systems that operate in turbulent environments. As such, their behavior is difficult to characterize accurately across a wide range of operating conditions by physically meaningful models. Customarily, data-based models of wind turbines are defined in ‘black box’ format, lacking in both conciseness and physical intelligibility. To address this deficiency, we identify models of a modern horizontal-axis wind turbine in symbolic form using a recently developed symbolic regression method. The method used relies on evolutionary multi-objective optimization to produce succinct dynamic models from operational data without ‘a priori’ knowledge of the system. We compare the produced models with models derived by other methods for their estimation capacity and evaluate the tradeoff between model intelligibility and accuracy. Several succinct models are found that predict wind turbine behavior as well as or better than more complex alternatives derived by other methods.
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Zhang, Lin, Mengyao Wei, Min Wang, and Chao Zhang. "Automatic generation control of wind turbines based on pitch angle changes." In 2021 China Automation Congress (CAC). IEEE, 2021. http://dx.doi.org/10.1109/cac53003.2021.9727832.

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Pintea, Andreea, Haoping Wang, Nicolai Christov, Pierre Borne, Dumitru Popescu, and Adrian Badea. "Optimal control of variable speed wind turbines." In Automation (MED 2011). IEEE, 2011. http://dx.doi.org/10.1109/med.2011.5983056.

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Hiraldo-Martínez, Gretchell M., Alex D. Santiago-Vargas, Diego A. Aponte-Roa, and Miguel A. Goenaga-Jiménez. "Automatic Electronic Braking System for Commercial Micro Wind Turbine." In ASME 2021 Power Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/power2021-65883.

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Abstract The inclusion of renewable energy as wind turbines on microgrids has been increasing in popularity. However, commercial micro wind turbines lack advance electronic control systems to monitor the turbine and automatically brake for safety purposes. This paper presents the design of a modular electronic braking and monitoring system architecture with off-the-shelf electronic components and open-source software. The proposed system records the turbine operational parameters and triggers a braking system when an emergency stop button is closed or when a desired electrical parameter exceeds an established threshold. Electronic braking is a low-cost alternative that needs less maintenance, space, and mechanical complexity. We used a 400W micro wind turbine located at 17 feet high to test the proposed system architecture. Results demonstrate that this system architecture could be implemented for wind turbines in any existing polygeneration microgrid as an add-on.
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"Pitch Control for Variable Speed Wind Turbines." In 10th International Conference on Informatics in Control, Automation and Robotics. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004391000430049.

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MacPhee, David, and Asfaw Beyene. "A flexible turbine blade for passive blade pitch control in wind turbines." In 2011 IEEE Power Engineering and Automation Conference (PEAM). IEEE, 2011. http://dx.doi.org/10.1109/peam.2011.6134834.

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Ben Smida, Mouna, and Anis Sakly. "Different conventional strategies of pitch angle control for variable speed wind turbines." In 2014 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA). IEEE, 2014. http://dx.doi.org/10.1109/sta.2014.7086704.

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Yang, Shuying, Long Zhan, Changxi Huang, and Zhen Xie. "Unbalanced control system design for DFIG-based wind turbines." In 2012 Power Engineering and Automation Conference (PEAM). IEEE, 2012. http://dx.doi.org/10.1109/peam.2012.6612440.

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Schafer, Bjorn E., Davide Picchi, Thomas Engelhardt, and Dirk Abel. "Multicopter unmanned aerial vehicle for automated inspection of wind turbines." In 2016 24th Mediterranean Conference on Control and Automation (MED). IEEE, 2016. http://dx.doi.org/10.1109/med.2016.7536055.

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Li, Weixuan, and Daoyong Sun. "The Design of Automatic Control System for Wind Turbine." In 2009 Asia-Pacific Power and Energy Engineering Conference. IEEE, 2009. http://dx.doi.org/10.1109/appeec.2009.4918876.

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Reports on the topic "Wind turbines – Automatic control"

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Wright, A. D. Modern Control Design for Flexible Wind Turbines. Office of Scientific and Technical Information (OSTI), July 2004. http://dx.doi.org/10.2172/15011696.

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van Dam, C. P., Dale E. Berg, and Scott J. Johnson. Active load control techniques for wind turbines. Office of Scientific and Technical Information (OSTI), July 2008. http://dx.doi.org/10.2172/943932.

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Johnson, K. E. Adaptive Torque Control of Variable Speed Wind Turbines. Office of Scientific and Technical Information (OSTI), August 2004. http://dx.doi.org/10.2172/15008864.

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Wright, A. D., and L. J. Fingersh. Advanced Control Design for Wind Turbines; Part I: Control Design, Implementation, and Initial Tests. Office of Scientific and Technical Information (OSTI), March 2008. http://dx.doi.org/10.2172/927269.

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Chernyakhovskiy, Ilya, Samuel Koebrich, Vahan Gevorgian, and Jaquelin M. Cochran. Grid-Friendly Renewable Energy: Solar and Wind Participation in Automatic Generation Control Systems. Office of Scientific and Technical Information (OSTI), July 2019. http://dx.doi.org/10.2172/1543130.

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Fine, Neal E., Christopher Szlatenyi, and Benjamin Rosenthal. Test-bed and Full-Scale Demonstration of Plasma Flow Control for Wind Turbines. Phase 1. Fort Belvoir, VA: Defense Technical Information Center, July 2013. http://dx.doi.org/10.21236/ada586867.

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Dunne, F., E. Simley, and L. Y. Pao. LIDAR Wind Speed Measurement Analysis and Feed-Forward Blade Pitch Control for Load Mitigation in Wind Turbines: January 2010--January 2011. Office of Scientific and Technical Information (OSTI), October 2011. http://dx.doi.org/10.2172/1028529.

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Control algorithms for effective operation of variable-speed wind turbines. Office of Scientific and Technical Information (OSTI), October 1993. http://dx.doi.org/10.2172/10193558.

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