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Academic literature on the topic 'Fed induction generator based microgrid'

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Published: 6 September 2023

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Journal articles on the topic "Fed induction generator based microgrid"

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Worku, Muhammed Y., Mohamed A. Hassan, and Mohamed A. Abido. "Real Time-Based under Frequency Control and Energy Management of Microgrids." Electronics 9, no. 9 (September 10, 2020): 1487. http://dx.doi.org/10.3390/electronics9091487.

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In this paper, an efficient under frequency control and the energy management of a distributed energy resources (DERs)-based microgrid is presented. The microgrid is composed of a photovoltaic (PV), double-fed induction generator (DFIG)-based wind and diesel generator with critical and non-critical loads. The system model and the control strategy are developed in a real time digital simulator (RTDS). The coordination and power management of the DERs in both grid-connected and islanded operation modes are implemented. During power imbalances and frequency fluctuations caused by fault or islanding, an advanced automatic load shedding control is implemented to regulate and maintain the microgrid frequency at its rated value. One distinct feature implemented for the load shedding operation is that highly unbalanced critical loads are connected to the microgrid. The diesel generator provides the required inertia in the islanded mode to maintain the microgrid rated frequency by operating in the isochronous mode. The International Council on Large Electric Systems (CIGRE) medium voltage (MV) test bench system is used to implement the DERs and their controller. The proposed control approach has potential applications for the complete operation of microgrids by properly controlling the power, voltage and frequency in both grid-connected and island modes. The real time digital simulator results verify the effectiveness and superiority of the proposed control scheme in grid connected, island and fault conditions.
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Kavitha, K., K. Meenendranath Reddy, and Dr P. Sankar Babu. "An Improvement of Power Control Method in Microgrid Based PV-Wind Integration of Renewable Energy Sources." Journal of Energy Engineering and Thermodynamics, no. 26 (November 28, 2022): 18–28. http://dx.doi.org/10.55529/jeet.26.18.28.

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Microgrids are quickly becoming a great success for the future of electricity. The notion of the microgrid combines several microsources without interfering with the functioning of the larger utility grid. The DC and AC networks of this hybrid Microgrid are powered by photovoltaic and wind generators. Both AC and DC Microgrids may couple with energy storage devices. A microgrid powered by a combination of renewable energy sources, such as wind and solar, is shown and controlled in this project. The wind energy conversion machine is a doubly fed induction generator (DFIG), and it is coupled to a battery bank through a DC bus. Solar power is efficiently converted utilising a DC-DC boost converter from a solar photovoltaic (PV) array and then evacuated at the common DC bus of DFIG. With the line side converter's droop characteristics implemented, voltage and frequency may be regulated using an indirect vector control. A battery's energy level is monitored, and the frequency set point is adjusted accordingly to prevent excessive charging or discharging. When wind power is not available, the system can still function. Maximum power point tracking (MPPT) is a feature of the control algorithm used by both wind and solar energy blocks. All conceivable operational scenarios have been accounted for in the system's design, making it fully autonomous. An external power supply is included into the system and may be used to charge the batteries whenever needed. The feasibility of wind and solar energy, imbalanced and nonlinear loads, and a depleted battery are only some of the scenarios simulated in this paper, along with the corresponding simulation findings.
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Safaei, A., S. H. Hosseinian, and H. Askarian Abyaneh. "Enhancing the HVRT and LVRT Capabilities of DFIG-based Wind Turbine in an Islanded Microgrid." Engineering, Technology & Applied Science Research 7, no. 6 (December 18, 2017): 2118–23. http://dx.doi.org/10.48084/etasr.1541.

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Doubly fed induction generator (DFIG) based wind turbines are very sensitive to grid voltage variations. Therefore, low-voltage-ride-through (LVRT) and high-voltage-ride-through (HVRT) capabilities are employed to improve DFIG performance during grid faults and voltage swell events. In this paper, a superconducting magnetic energy storage (SMES) device with a PWM voltage source converter and a DC-DC chopper is proposed to enhance the DFIG LVRT and HVRT capabilities in an islanded microgrid simultaneously. The simulation results demonstrate that the SMES absorbs or releases energy from/to the microgrid during voltage swell events and fault condition respectively and consequently, improves the DFIG performance and enhances the DFIG LVRT and HVRT capabilities. The effectiveness of the proposed method is validated through detailed simulations in PSCAD/EMTDC.
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Gomez, Luis A. G., Ahda P. Grilo, M. B. C. Salles, and A. J. Sguarezi Filho. "Combined Control of DFIG-Based Wind Turbine and Battery Energy Storage System for Frequency Response in Microgrids." Energies 13, no. 4 (February 18, 2020): 894. http://dx.doi.org/10.3390/en13040894.

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This paper presents a novel methodology for frequency control of a microgrid through doubly fed induction generator (DFIG) employing battery energy storage system (BESS) and droop control. The proposed microgrid frequency control is the result of the active power injection from the droop control implemented in the grid side converter (GSC) of the DFIG, and the BESS implemented in the DC link of the back-to-back converter also in the DFIG. This methodology guarantees the battery system charge during operation of the connected DFIG in the network, and the frequency control in microgrid operation after an intentional disturbance. In order for the DFIG to provide frequency support to the microgrid, the best-performing droop gain value is selected. Afterwards its performance is evaluated individually and together with the power injected by the battery. The power used for both battery charging and frequency support is managed and processed by the GSC without affecting the normal operation of the wind system. The simulation tests are performed using Matlab/Simulink toolbox.
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Prieto Cerón, Carlos E., Luís F. Normandia Lourenço, Juan S. Solís-Chaves, and Alfeu J. Sguarezi Filho. "A Generalized Predictive Controller for a Wind Turbine Providing Frequency Support for a Microgrid." Energies 15, no. 7 (April 1, 2022): 2562. http://dx.doi.org/10.3390/en15072562.

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The power system is moving away from the centralized generation paradigm. One of the current trends is the microgrid concept, where loads, small generators and renewable energy resources (RERs) that are in close proximity are controlled as one entity. Microgrids also allow for an increase in power availability as they can continue to supply electric power to loads even in the absence of a connection to the main grid. During the transition to islanded operation, microgrids may be subject to frequency disturbances caused by the power imbalance between load and generation. When microgrids contain high shares of renewable energy, the challenge is significantly higher due to the control strategies that aim to maximize power production, which are typically applied to RERs and render them insensitive to grid changes. Therefore, new control strategies need to be developed to enable the participation of RERs in the support of the frequency response. This work proposes a predictive control strategy that is based on a generalized predictive controller (GPC) being applied to the grid side converter of a doubly fed induction generator (DFIG) wind turbine to enable frequency support capabilities. The control objective was to track a time varying power reference signal that was generated according to the deviation from the nominal frequency, thereby enabling the energy storage device to inject power into the microgrid without a communication system. The GPC is a controller belonging to the family of model predictive controllers (MPCs), the main principles of which are the use of a system model to predict future states and the choice of an optimal input to ensure that the reference values are followed. To validate the proposed control strategy, a microgrid was simulated in MATLAB Simscape Electrical. The frequency response using the proposed GPC strategy was compared to another MPC-based strategy, known as finite control set, and a scenario in which the DFIG was not equipped with frequency support capabilities. The results show that the proposed strategy was able to improve the frequency response of the microgrid, reduce frequency oscillations and increase the value of the frequency nadir.
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Bayhan, Sertac, Sevki Demirbas, and Haitham Abu‐Rub. "Fuzzy‐PI‐based sensorless frequency and voltage controller for doubly fed induction generator connected to a DC microgrid." IET Renewable Power Generation 10, no. 8 (May 26, 2016): 1069–77. http://dx.doi.org/10.1049/iet-rpg.2015.0504.

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Zhou, Minghao, Hongyu Su, Yi Liu, William Cai, Wei Xu, and Dong Wang. "Full-Order Terminal Sliding-Mode Control of Brushless Doubly Fed Induction Generator for Ship Microgrids." Energies 14, no. 21 (November 4, 2021): 7302. http://dx.doi.org/10.3390/en14217302.

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This paper proposes a full-order terminal sliding-mode (FOTSM) control scheme for brushless doubly fed induction generator (BDFIG)-based islanded microgrids. To deal with mismatched uncertainties in the BDFIG system, virtual control technique-based full-order sliding-mode control is applied to stabilize the amplitude and frequency of terminal voltage. In the current loops, two full-order terminal sliding-mode controllers are designed to make sure that the current tracking errors can reach their equilibrium points in finite time. It is demonstrated by the comprehensive simulations that the proposed method can significantly improve the tracking accuracy, the rapidness, and the robustness to the uncertainties of the BDFIG control system and can enhance the output voltage quality. Furthermore, an experimental study of the proposed control method for BDFIG-based islanded microgrids would be another important future work.
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Jeman, Ameerul A. J., Naeem M. S. Hannoon, Nabil Hidayat, Mohamed M. H. Adam, Ismail Musirin, and Vijayakumar V. "Fault analysis for renewable energy power system in micro-grid distributed generation." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 3 (March 1, 2019): 1117. http://dx.doi.org/10.11591/ijeecs.v13.i3.pp1117-1123.

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<span>In distribution system, wind power plants are becoming popular renewable energy sources. It employs Doubly Fed Induction Generator (DFIG) to generate power based on wind conversion. Short and long transmission lines, presence of faults and presence of Static Synchronous Compensator (STATCOM) are highlighted issues in this paper. Basically, this research develops investigations on some electrical variables such as voltage and current to control them. Distribution Static Synchronous Compensator (DSTATCOM) is proposed in this paper. Wind farm acts as a source while DSTATCOM is connected to the distribution system with a DFIG based wind farm. The controller proposed is DSTATCOM is modeled and simulated in MATLAB/SIMULINK and the results are given. A microgrid based small signal analysis is performed in the laboratory using MATLAB and different comparisons are made and simulation case studies are presented and validated.</span>
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Sathish, Ch, I. A. Chidambaram, and M. Manikandan. "Intelligent cascaded adaptive neuro fuzzy interface system controller fed KY converter for hybrid energy based microgrid applications." Electrical Engineering & Electromechanics, no. 1 (January 4, 2023): 63–70. http://dx.doi.org/10.20998/2074-272x.2023.1.09.

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Purpose. This article proposes a new control strategy for KY (DC-DC voltage step up) converter. The proposed hybrid energy system fed KY converter is utilized along with adaptive neuro fuzzy interface system controller. Renewable energy sources have recently acquired immense significance as a result of rising demand for electricity, rapid fossil fuel exhaustion and the threat of global warming. However, due to their inherent intermittency, these sources offer low system reliability. So, a hybrid energy system that encompasses wind/photovoltaic/battery is implemented in order to obtain a stable and reliable microgrid. Both solar and wind energy is easily accessible with huge untapped potential and together they account for more than 60 % of yearly net new electricity generation capacity additions around the world. Novelty. A KY converter is adopted here for enhancing the output of the photovoltaic system and its operation is controlled with the help of a cascaded an adaptive neuro fuzzy interface system controller. Originality. Increase of the overall system stability and reliability using hybrid energy system fed KY converter is utilized along with adaptive neuro fuzzy interface system controller. Practical value. A proportional integral controller is used in the doubly fed induction generator based wind energy conversion system for controlling the operation of the pulse width modulation rectifier in order to deliver a controlled DC output voltage. A battery energy storage system, which uses a battery converter to be connected to the DC link, stores the excess power generated from the renewable energy sources. Based on the battery’s state of charge, its charging and discharging operation is controlled using a proportional integral controller. The controlled DC link voltage is fed to the three phase voltage source inverter for effective DC to AC voltage conversion. The inverter is connected to the three phase grid via an LC filter for effective harmonics mitigation. A proportional integral controller is used for achieving effective grid voltage synchronization. Results. The proposed model is simulated using MATLAB/Simulink, and from the obtained outcomes, it is noted that the cascaded adaptive neuro fuzzy interface system controller assisted KY converter is capable of maintaining the stable operation of the microgrid with an excellent efficiency of 93 %.
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Jeman, Ameerul A. J., Naeem M. S. Hannoon, Nabil Hidayat, Mohamed M. H. Adam, Ismail Musirin, and Vijayakumar V. "Small signal fault analysis for renewable energy (Wind) power system distributed generation by using MATLAB software (Simulink)." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 3 (March 1, 2019): 1337. http://dx.doi.org/10.11591/ijeecs.v13.i3.pp1337-1344.

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<span>In distribution system, wind power plants are becoming popular renewable energy sources. It employs Doubly Fed Induction Generator (DFIG) to generate power based on wind conversion. Short and long transmission lines, presence of faults and presence of Static Synchronous Compensator (STATCOM) are highlighted issues in this paper. Basically, this research develops investigations on some electrical variables such as voltage and current to control them. Distribution Static Synchronous Compensator (DSTATCOM) is proposed in this paper. Wind farm acts as a source while DSTATCOM is connected to the distribution system with a DFIG based wind farm. The controller proposed is DSTATCOM is modeled and simulated in MATLAB/SIMULINK and the results are given. A microgrid based small signal analysis is performed in the laboratory using MATLAB and different comparisons are made and simulation case studies are presented and validated.</span>
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Dissertations / Theses on the topic "Fed induction generator based microgrid"

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Subramanian, Chandrasekaran <1983&gt. "Grid Connected Doubly Fed Induction Generator Based Wind Turbine under LVRT." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amsdottorato.unibo.it/6243/1/Grid_Connected_Doubly_Fed_Induction_Generator_Based_Wind_Turbine_under_LVRT.pdf.

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This project concentrates on the Low Voltage Ride Through (LVRT) capability of Doubly Fed Induction Generator (DFIG) wind turbine. The main attention in the project is, therefore, drawn to the control of the DFIG wind turbine and of its power converter and to the ability to protect itself without disconnection during grid faults. It provides also an overview on the interaction between variable speed DFIG wind turbines and the power system subjected to disturbances, such as short circuit faults. The dynamic model of DFIG wind turbine includes models for both mechanical components as well as for all electrical components, controllers and for the protection device of DFIG necessary during grid faults. The viewpoint of this project is to carry out different simulations to provide insight and understanding of the grid fault impact on both DFIG wind turbines and on the power system itself. The dynamic behavior of DFIG wind turbines during grid faults is simulated and assessed by using a transmission power system generic model developed and delivered by Transmission System Operator in the power system simulation toolbox Digsilent, Matlab/Simulink and PLECS.
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Subramanian, Chandrasekaran <1983&gt. "Grid Connected Doubly Fed Induction Generator Based Wind Turbine under LVRT." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amsdottorato.unibo.it/6243/.

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This project concentrates on the Low Voltage Ride Through (LVRT) capability of Doubly Fed Induction Generator (DFIG) wind turbine. The main attention in the project is, therefore, drawn to the control of the DFIG wind turbine and of its power converter and to the ability to protect itself without disconnection during grid faults. It provides also an overview on the interaction between variable speed DFIG wind turbines and the power system subjected to disturbances, such as short circuit faults. The dynamic model of DFIG wind turbine includes models for both mechanical components as well as for all electrical components, controllers and for the protection device of DFIG necessary during grid faults. The viewpoint of this project is to carry out different simulations to provide insight and understanding of the grid fault impact on both DFIG wind turbines and on the power system itself. The dynamic behavior of DFIG wind turbines during grid faults is simulated and assessed by using a transmission power system generic model developed and delivered by Transmission System Operator in the power system simulation toolbox Digsilent, Matlab/Simulink and PLECS.
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Wang, Lei. "Advanced control of doubly-fed induction generator based variable speed wind turbine." Thesis, University of Liverpool, 2012. http://livrepository.liverpool.ac.uk/10575/.

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This thesis deals with the modeling, control and analysis of doubly fed induction generators (DFIG) based wind turbines (DFIG-WT). The DFIG-WT is one of the mostly employed wind power generation systems (WPGS), due to its merits including variable speed operation for achieving the maximum power conversion, smaller capacity requirement for power electronic devices, and full controllability of active and reactive powers of the DFIG. The dynamic modeling of DFIG-WT has been carried out at first in Chapter 2, with the conventional vector control (VC) strategies for both rotor-side and grid-side converters. The vector control strategy works in a synchronous reference frame, aligned with the stator-flux vector, became very popular for control of the DFIG. Although the conventional VC strategy is simple and reliable, it is not capable of providing a satisfactory transient response for DFIG-WT under grid faults. As the VC is usually designed and optimized based on one operation point, thus the overall energy conversion efficiency cannot be maintained at the optimal point when the WPGS operation point moves away from that designed point due to the time-varying wind power inputs. Compared with VC methods which are designed based on linear model obtained from one operation point, nonlinear control methods can provide consistent optimal performance across the operation envelope rather than at one operation point. To improve the asymptotical regulation provided by the VC, which can't provide satisfactory performance under voltage sags caused by grid faults or load disturbance of the grid, input-output feedback linearization control (IOFLC) has been applied to develop a fully decoupled controller of the active $\&$ reactive powers of the DFIG in Chapter 3. Furthermore, a cascade control strategy is proposed for power regulation of DFIG-WT, which can provide better performance against the varying operation points and grid disturbance. Moreover, to improve the overall energy conversion efficiency of the DFIG-WT, FLC-based maximum power point tracking (MPPT) has been investigated. The main objective of the FLC-based MPPT in Chapter 4 is to design a global optimal controller to deal with the time-varying operation points and nonlinear characteristic of the DFIG-WT. Modal analysis and simulation studies have been used to verify the effectiveness of the FLC-based MPPT, compared with the VC. The system mode trajectory, including the internal zero-dynamic of the FLC-MPPT are carefully examined in the face of varied operation ranges and parameter uncertainties. In a realistic DFIG-WT, the parameter variability, the uncertain and time-varying wind power inputs are existed. To enhance the robustness of the controller, a nonlinear adaptive controller (NAC) via state and perturbation observer for feedback linearizable nonlinear systems is applied for MPPT control of DFIG-WT in Chapter 5. In the design of the controller, a perturbation term is defined to describe the combined effect of the system nonlinearities and uncertainties, and represented by introducing a fictitious state in the state equations. As follows, a state and perturbation observer is designed to estimate the system states and perturbation, leading to an adaptive output-feedback linearizing controller which uses the estimated perturbation to cancel system perturbations and the estimated states to implement a linear output feedback control law for the equivalent linear system. Case studies including with and without wind speed measurement are carried out and proved that the proposed NAC for MPPT of DFIG-WT can provide better robustness performance against the parameter uncertainties. Simulation studies for demonstrating the performance of the proposed control methods in each chapter, are carried out based on MATLAB/SIMULINK.
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Shi, Kai. "Advanced control of doubly-fed induction generator based wind turbines for dynamic performance improvement." Thesis, University of Liverpool, 2017. http://livrepository.liverpool.ac.uk/3018211/.

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Yunus, A. M. Shiddiq. "Application of SMES Unit to improve the performance of doubly fed induction generator based WECS." Thesis, Curtin University, 2012. http://hdl.handle.net/20.500.11937/1450.

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Due to the rising demand of energy over several decades, conventional energy resources have been continuously and drastically explored all around the world. As a result, global warming is inevitable due to the massive exhaust of CO2 into the atmosphere from the conventional energy sources. This global issue has become a high concern of industrial countries who are trying to reduce their emission production by increasing the utilization of renewable energies such as wind energy. Wind energy has become very attractive since the revolution of power electronics technology, which can be equipped with wind turbines. Wind energy can be optimally captured with wind turbine converters. However, these converters are very sensitive if connected with the grid as grid disturbances may have a catastrophic impact on the overall performance of the wind turbines.In this thesis, superconducting magnetic energy storage (SMES) is applied on wind energy conversion systems (WECSs) that are equipped with doubly fed induction generators (DFIGs) during the presence of voltage sags and swells in the grid side. Without SMES, certain levels of voltage sags and swells in the grid side may cause a critical operating condition that may require disconnection of WECS to the grid. This condition is mainly determined by the voltage profile at the point of common coupling (PCC), which is set up differently by concerned countries all over the world. This requirement is determined by the transmission system operator (TSO) in conjunction with the concerned government. The determined requirement is known as grid codes or fault ride through (FRT) capability.The selection of a SMES unit in this thesis is based on its advantages over other energy storage technologies. Compared to other energy storage options, the SMES unit is ranked first in terms of highest efficiency, which is 90-99%. The high efficiency of the SMES unit is achieved by its low power loss because electric currents in the coil encounter almost no resistance and there are no moving parts, which means no friction losses. Meanwhile, DFIG is selected because it is the most popular installed WECS over the world. In 2004 about 55% of the total installed WECS worldwide were equipped with DFIG. There are two main strategies that can be applied to meet the grid requirements of a particular TSO. The first strategy is development of new control techniques to fulfil the criterion of the TSOs. This strategy, however, is applicable only to the new WECS that have not been connected to the power grid. If new control techniques are applied to the existing gridconnected WECSs, they will not be cost effective because the obsolete design must be dismantled and re-installed to comply with current grid code requirements. The second strategy is the utilization of flexible AC transmission system (FACTS) devices or storage energy devices to meet the grid code requirements. This strategy seems more appropriate for implementation in the existing WECS-grid connection in order to comply with the current grid code requirements. By appropriate design, the devices might be more cost effective compared to the first strategy, particularly for the large wind farms that are already connected to the grid.A new control algorithm of a SMES unit, which is simple but still involves all the important parameters, is employed in this study. Using the hysteresis current control approach in conjunction with a fuzzy logic controller, the SMES unit successfully and effectively improves the performance of the DFIG during voltage sag and swell events in the grid side; thus, this will prevent the WECS equipped with DFIG from being disconnected from the grid according to the selected fault ride through used in this study. The dynamic study of DFIG with SMES during short load variation is carried out as an additional advantage of SMES application on a DFIG system. In this study, the proposed SMES unit is controlled to compensate the reduced transfer power of DFIG during the short load variation event. Moreover, the SMES unit is also engaged in absorbing/storing some amount of excessive power that might be transferred to the grid when the local loads are suddenly decreased. Finally, the studies of intermittent misfires and fire-through that take place within the converters of DFIG are carried out in order to investigate the impact of these converter faults on the performance of DFIG. In this part, the proposed SMES unit is controlled to effectively improve the DFIG’s performance in order to prevent it from being disconnected or shut down from the power grid during the occurrence of these intermittent switching faults.
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Zafar, Jawwad. "Winding short-circuit fault modelling and detection in doubly-fed induction generator based wind turbine systems." Doctoral thesis, Universite Libre de Bruxelles, 2011. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209854.

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This thesis deals with the operation of and winding short-circuit fault detection in a Doubly-Fed Induction Generator (DFIG) based Wind Turbine Generator System (WTGS). Both the faulted and faultless condition of operation has been studied, where the focus is on the electrical part of the system. The modelled electrical system is first simulated and the developed control system is then validated on a test bench. The test-bench component dimensioning is also discussed.

The faultless condition deals with the start-up and power production mode of operation. Control design based on the Proportional Integral (PI) control technique has been compared for power and torque control strategies against the Linear Quadratic Gaussian (LQG) control technique, at different operating points through the variable-speed region of WTGS operation following the maximum power curve of the system. It was found that the torque control strategy offered less degradation in performance for both the control techniques at operating points different for the one for which the control system was tuned. The start-up procedure of the DFIG based WTGS has been clarified and simplified. The phase difference between the stator and the grid voltage, which occurs due to the arbitrary rotor position when the rotor current control is activated, is minimized by using a sample-and-hold technique which eliminates the requirement of designing an additional controller. This method has been validated both in simulation and experiments.

The faulted condition of operation deals with the turn-turn short-circuit fault in the phase winding of the generator. The model of the generator, implemented using the winding-function approach, allows the fault to be created online both in a stator and a rotor phase. It has been demonstrated that the magnitude of the current harmonics, used extensively in literature for the Machine Current Signature Analysis (MCSA) technique for winding short-circuit fault detection, is very different when the location of the fault is changed to another coil within the phase winding. This makes the decision on the threshold selection for alarm generation difficult. Furthermore, the control system attenuates the current harmonics by an order of magnitude. This attenuation property is also demonstrated through experiments. The attention is then shifted to the negative-sequence current component, resulting from the winding unbalance, as a possible fault residual. Its suitability is tested in the presence of noise for scenarios with different fault locations, fault severity in terms of the number of shorted-turns and grid voltage unbalance. It is found that due to the presence of a control system the magnitude of the negative-sequence current, resulting from the fault, remains almost the same for all fault locations and fault severity. Thus, it was deemed more suitable as a fault residual. In order to obtain a fast detection method, the Cumulative Sum (CUSUM) algorithm was used. The test function is compared against a threshold, determined on the basis of expected residual magnitude and the time selected for detection, to generate an alarm. The validation is carried out with noise characteristics different from the ones used during the design and it is shown that the voltage unbalance alone is not able to trigger a false alarm. In all the scenarios considered, the detection was achieved within 40 ms despite the presence of measurement filters.
Doctorat en Sciences de l'ingénieur
info:eu-repo/semantics/nonPublished

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Kareem, Amer Obaid. "Performance analysis of doubly-fed induction generator (DFIG)-based wind turbine with sensored and sensorless vector control." Thesis, University of Newcastle upon Tyne, 2016. http://hdl.handle.net/10443/3539.

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Conventional energy sources are limited and pollute the environment. Therefore more attention has been paid to utilizing renewable energy resources. Wind energy is the fastest growing and most promising renewable energy source due to its economically viability. Wind turbine generator systems (WTGSs) are being widely manufactured and their number is rising dramatically day by day. There are different generator technologies adopted in wind turbine generator systems, but the most promising type of wind turbine for the future market is investigated in the present study, namely the doubly-fed induction generator wind turbine (DFIG). This has distinct advantages, such as cost effectiveness, efficiency, less acoustic noise, and reliability and in addition this machine can operate either in grid-connected or standalone mode. This investigation considers the analysis, modeling, control, rotor position estimation and impact of grid disturbances in DFIG systems in order to optimally extract power from wind and to accurately predict performance. In this study, the dynamic performance evaluation of the DFIG system is depicted the power quantities (active and reactive power) are succeed to track its command signals. This means that the decouple controllers able to regulating the impact of coupling effect in the tracking of command signals that verify the robust of the PI rotor active power even in disturbance condition. One of the main objectives of this study is to investigate the comparative estimation analysis of DFIG-based wind turbines with two types of PI vector control using PWM. The first is indirect sensor vector control and the other type includes two schemes using model reference adaptive system (MRAS) estimators to validate the ability to detect rotor position when the generator is connected to the grid. The results for the DFIG-based on reactive power MRAS (QRMRAS) are compared with those of the rotor current-based MRAS (RCMRAS) and the former scheme proved to be better and less sensitive to parameter deviations, its required few mathematical computations and was more accurate. During the set of tests using MATLAB®/SMULINK® in adjusting the error between the reference and adaptive models, the estimated rotor position can be obtained with the objective of achieving accurate rotor position information, which is usually measured by rotary encoders or resolvers. The use of these encoders will conventionally lead to increased cost, size, weight, and wiring ii complexity and reduced the mechanical robustness and reliability of the overall DFIG drive systems. However the use of rotor position estimation represents a backup function in sensor vector control systems when sensor failure occurs. The behavioral response of the DFIG-based wind turbine system to grid disturbances is analyzed and simulated with the proposed control strategies and protection scheme in order to maintain the connection to the network during grid faults. Moreover, the use of the null active and reactive reference set scheme control strategy, which modifies the vector control in the rotor side converter (RSC) contributes to limiting the over-current in the rotor windings and over-voltage in the DC bus during voltage dips, which can improve the Low Voltage Ride-through (LVRT) ability of the DFIG-based wind turbine system.
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Naggar, Ahmed el [Verfasser], and István [Akademischer Betreuer] Erlich. "Advanced modeling and analysis of the doubly-fed induction generator based wind turbines / Ahmed El Naggar ; Betreuer: István Erlich." Duisburg, 2017. http://d-nb.info/1139640623/34.

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Baggu, Murali Mohan. "Advanced control techniques for doubly fed induction generator-based wind turbine converters to improve low voltage ride-through during system imbalances." Diss., Rolla, Mo. : Missouri University of Science and Technology, 2009. http://scholarsmine.mst.edu/thesis/pdf/Baggu_09007dcc806684bd.pdf.

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Thesis (Ph. D.)--Missouri University of Science and Technology, 2009.
Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed May 27, 2009) Includes bibliographical references (p. 126-130).
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Khamaira, Mahmoud Yousef. "A New Converter Station Topology to Improve the Overall Performance of a Doubly Fed Induction Generator-Based Wind Energy Conversion System." Thesis, Curtin University, 2015. http://hdl.handle.net/20.500.11937/2397.

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This thesis presents a reliable and cost effective technique that calls for reconfiguration of the existing converters of a typical Doubly Fed Induction Generator to include a coil of low internal resistance. A coil within the DC link is the only hardware component required to implement this technique. With a proper control scheme, activated during fault conditions, this coil can provide the same degree of performance as a superconducting magnetic energy storage unit during fault conditions.
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Books on the topic "Fed induction generator based microgrid"

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Mohammadpour, Hossein Ali, and Enrico Santi. Analysis of Sub-synchronous Resonance (SSR) in Doubly-fed Induction Generator (DFIG)-Based Wind Farms. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-031-02501-3.

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Santi, Enrico, and Hossein Ali Mohammadpour. Analysis of Sub-Synchronous Resonance (SSR) in Doubly-fed Induction Generator (DFIG)-Based Wind Farms. Springer International Publishing AG, 2015.

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Santi, Enrico, and Hossein Ali Mohammadpour. Analysis of Sub-Synchronous Resonance (SSR) in Doubly-fed Induction Generator (DFIG)-Based Wind Farms. Morgan & Claypool Publishers, 2015.

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Book chapters on the topic "Fed induction generator based microgrid"

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El Qouarti, Ouassima, Ahmed Essadki, Hammadi Laghridat, and Tamou Nasser. "Active and Reactive Power Control for a Hybrid Microgrid Based on Doubly Fed Induction Generator and Hydrogen Fuel Cell Power Sources." In International Conference on Advanced Intelligent Systems for Sustainable Development, 162–68. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35245-4_15.

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Suresh, Anjana, R. Resmi, and V. Vanitha. "Mathematical Model of Brushless Doubly Fed Induction Generator Based Wind Electric Generator." In Lecture Notes in Electrical Engineering, 1477–87. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-2119-7_144.

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Chakib, Mohssine, Ahmed Essadki, and Tamou Nasser. "Robust ADRC Control of a Doubly Fed Induction Generator Based Wind Energy Conversion System." In Lecture Notes in Electrical Engineering, 359–68. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1405-6_44.

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Sureshkumar, K., P. Vijaya kumar, R. Dhandayuthabani, and A. Sakthivel. "A PIC-Controller Based Doubly Fed Induction Generator (DFIG) for Wind Energy Conversion Systems." In Communications in Computer and Information Science, 715–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24043-0_72.

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Ansari, Aftab Ahmed, and Giribabu Dyanamina. "Comparative Analysis of Controlling Methods for Doubly Fed Induction Generator Based Wind Energy System." In Recent Advances in Power Electronics and Drives, 493–507. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9239-0_37.

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Douiri, Moulay Rachid. "Neural-Based P-Q Decoupled Control for Doubly Fed Induction Generator in Wind Generation System." In Advanced Control and Optimization Paradigms for Wind Energy Systems, 213–34. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5995-8_9.

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Maheswari, M., S. K. Indumathi, and A. K. Parvathy. "Soft Computing Techniques-Based Low Voltage Ride Through Control of Doubly Fed Induction Wind Generator." In Intelligent Paradigms for Smart Grid and Renewable Energy Systems, 305–36. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9968-2_10.

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Sivasankar, G., and V. Suresh Kumar. "Vector Control Based Dynamic Voltage Restorer for Fault Ride Through of Doubly Fed Induction Generator." In Lecture Notes in Electrical Engineering, 1331–38. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-2119-7_129.

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Boukili, Yassine, A. Pedro Aguiar, and Adriano Carvalho. "Direct Power Control of a Doubly Fed Induction Generator Using a Lyapunov Based State Space Approach." In Lecture Notes in Electrical Engineering, 628–37. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58653-9_60.

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Zeghdi, Z., L. Barazane, A. Larabi, B. Benchama, and K. Khechiba. "Wind Energy Conversion Systems Based on a Doubly Fed Induction Generator Using Artificial Fuzzy Logic Control." In Renewable Energy for Smart and Sustainable Cities, 255–62. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04789-4_28.

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Conference papers on the topic "Fed induction generator based microgrid"

1

Amelian, M., R. Hooshmand, A. Khodabakhshian, and H. Saberi. "Small signal stability improvement of a wind turbine-based doubly fed induction generator in a microgrid environment." In 2013 3th International eConference on Computer and Knowledge Engineering (ICCKE). IEEE, 2013. http://dx.doi.org/10.1109/iccke.2013.6682872.

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El Qouarti, Ouassima, Ahmed Essadki, Hammadi Laghridat, and Tamou Nasser. "Power Management Strategy for a Direct Current Hybrid Microgrid based on Doubly Fed Induction Generator and Fuel Cell." In 2022 8th International Conference on Optimization and Applications (ICOA). IEEE, 2022. http://dx.doi.org/10.1109/icoa55659.2022.9934248.

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Min, LIN, XIE Zhen, and XIE Jing. "Control Strategy of Doubly-Fed Induction Generators Based on Stator Virtual Impedance in Microgrid." In 2020 39th Chinese Control Conference (CCC). IEEE, 2020. http://dx.doi.org/10.23919/ccc50068.2020.9188662.

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Puchalapalli, Sambasivaiah, and Bhim Singh. "Control of Seamless Transition between Islanding and Grid Connected Modes in WT Driven Doubly Fed Induction Generator-Based Microgrid." In 2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET). IEEE, 2021. http://dx.doi.org/10.1109/sefet48154.2021.9375732.

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Meshcheryakov, Victor N., Artem A. Muravyev, and Andrei I. Boikov. "Induction generator based on doubly-fed machine." In 2018 17th International Ural Conference on AC Electric Drives (ACED). IEEE, 2018. http://dx.doi.org/10.1109/aced.2018.8341719.

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Silva de Vasconcelos, Carlos Henrique, Antonio Carlos Ferreira, and Richard Magdalena Stephan. "Wind turbine generator system based on Cascaded Doubly Fed Induction Generator." In 2015 IEEE 13th Brazilian Power Electronics Conference (COBEP) and 1st Southern Power Electronics Conference (SPEC). IEEE, 2015. http://dx.doi.org/10.1109/cobep.2015.7420255.

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Alamouti, M. Kazemi, M. A. Golkar, Sh Shokri Kojoori, and S. A. Hosseini. "Modeling and control of reactive power in a microgrid using doubly fed induction generator." In 2011 10th International Conference on Environment and Electrical Engineering (EEEIC). IEEE, 2011. http://dx.doi.org/10.1109/eeeic.2011.5874808.

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Soares, Emerson L., Cursino B. Jacobina, Victor Felipe M. B. Melo, Nady Rocha, and Edison Roberto C. da Silva. "Dual Converter for Connection of a Doubly-Fed Induction Generator to a DC-Microgrid." In 2019 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE, 2019. http://dx.doi.org/10.1109/ecce.2019.8911858.

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Hallouz, Mohamed, Nadir Kabache, and Samir Moulahoum. "DTC Backstepping Based Control of Double Fed Induction Generator." In 2019 Progress in Applied Electrical Engineering (PAEE). IEEE, 2019. http://dx.doi.org/10.1109/paee.2019.8789002.

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Soares, Emerson L., Cursino B. Jacobina, Italo Andre C. Oliveira, Nady Rocha, and Victor Felipe M. B. Melo. "Half-Controlled Converters Connecting Open-End Winding Doubly-Fed Induction Generator to a DC-Microgrid." In 2020 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE, 2020. http://dx.doi.org/10.1109/ecce44975.2020.9235765.

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