Journal articles: '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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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.

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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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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.

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Hannoon, Naeem M. S., V. Vijayakumar, K. Vengatesan, and Nabil Hidayat. "Small Signal Fault Analysis for Renewable Energy (Wind) Power System Distributed Generation by Using MATLAB Software (Simulink)." Journal of Computational and Theoretical Nanoscience 16, no. 2 (February 1, 2019): 537–43. http://dx.doi.org/10.1166/jctn.2019.7765.

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In distribution system, wind power plants are becoming popular renewable energy sources. It employs Doubly Fed Induction Generator (DFIG) to generate power constructed 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 associated with 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.

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Benghanem, Mustapha, Abdulrahmane AlKassem, Abdelhaq Amar Bensaber, and Azeddine Draou. "Supervisory Control Scheme of a Wind Farm Connected to a Hybrid Microgrid." Journal of Electrical and Computer Engineering 2022 (October 3, 2022): 1–15. http://dx.doi.org/10.1155/2022/3615307.

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Nowadays, the generation of wind power combined with a battery energy storage system offers a viable solution for electricity supply to isolated areas with no access to the grid. However, the speed of the wind is unpredictable and the inherent nonlinearities of the wind turbine and generator system cause fluctuations in the voltage, power, and frequency. This paper proposes a new three-layered control technique applied to a wind farm that uses doubly-fed induction generators (DFIGs) connected to a remote hybrid microgrid. The first layer provides local control to each DFIG wind turbine based on a nonlinear and robust control strategy. The second layer coordinates and controls the flow of power between the turbine and the storage system to make sure that load demand is being satisfied and the desired limits of the state of charge are respected. Finally, and in the third layer, we implement a supervisory controller that will be responsible for the generation of the references for the active power as per the load demand. The proposed off-grid wind power system and battery storage and its three-layer hierarchical control scheme are simulated under MATLAB/Simulink environment and tested under various load and speed profiles. Through the numerous test data obtained, it has been shown that the control strategy under study is robust and effective.

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Khani, Khosro, and Ghazanfar Shahgholian. "Analysis and optimization of frequency control in isolated microgrid with double-fed induction-generators based wind turbine." Journal of International Council on Electrical Engineering 9, no. 1 (January 1, 2019): 24–37. http://dx.doi.org/10.1080/22348972.2018.1564547.

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Sahri, Younes, Youcef Belkhier, Salah Tamalouzt, Nasim Ullah, Rabindra Nath Shaw, Md Shahariar Chowdhury, and Kuaanan Techato. "Energy Management System for Hybrid PV/Wind/Battery/Fuel Cell in Microgrid-Based Hydrogen and Economical Hybrid Battery/Super Capacitor Energy Storage." Energies 14, no. 18 (September 11, 2021): 5722. http://dx.doi.org/10.3390/en14185722.

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The present work addresses the modelling, control, and simulation of a microgrid integrated wind power system with Doubly Fed Induction Generator (DFIG) using a hybrid energy storage system. In order to improve the quality of the waveforms (voltages and currents) supplied to the grid, instead of a two level-inverter, the rotor of the DFIG is supplied using a three-level inverter. A new adaptive algorithm based on combined Direct Reactive Power Control (DRPC) and fuzzy logic controls techniques is applied to the proposed topology. In this work, two topologies are proposed. In the first one, the active power injected into the grid is smoothened by using an economical hybrid battery and supercapacitor energy storage system. However, in the second one, the excess wind energy is used to produce and store the hydrogen, and then a solid oxide fuel cell system (SOFC) is utilized to regenerate electricity by using the stored hydrogen when there is not enough wind energy. To avoid overcharging, deep discharging of batteries, to mitigate fluctuations due to wind speed variations, and to fulfil the requirement of the load profile, a power management algorithm is implemented. This algorithm ensures smooth output power in the first topology and service continuity in the second. The modelling and simulation results are presented and analysed using Matlab/Simulink.

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Li, Zheng, Liping Zhang, Lei Du, Weichao Dong, and Hexu Sun. "Grid-connected Control Strategy for Controllable Hybrid Systems Based on Hydrogen Storage." Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 13, no. 4 (July 5, 2020): 580–94. http://dx.doi.org/10.2174/2352096512666190906111215.

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Background: Aiming at the power fluctuation of wind/ photovoltaic (PV)/ energy storage (ES) hybrid energy conversion system injected into the grid, this paper builds a mathematical model system of distributed microgrid with PV coupling to the DC side of the doubly fed induction generator (DFIG) and proposes hierarchical and phased power coordination strategy. Methods: The hydrogen storage part and the Supercapacitor (SC) are used as backup power and power adjustment units to ensure power supply reliability and compensate for the shortcomings of wind and solar energy intermittent. The power coordination strategy assigns power reference control and the power controller follows the reference value (i.e., hierarchical control). The electrolysis cell (EL) and the Proton Exchange Membrane Fuel Cell (PEMFC) perform phased power control (i.e., minimum power, rated power, maximum power). The SC is divided into two operating modes, which are the same or opposite to the EL/PEMFC output power direction. Results: To reduce the wait time of the SC, the SC is free to switch between the two modes by setting the recovery voltage. The SC is mainly aimed at wind speed and load abrupt changes, and the hydrogen storage part is designed to solve the short-term energy shortage and surplus. Conclusion: In the 3-machine 9-bus system, the actual wind power, irradiance and temperature data of North China are used for verification. The method can effectively balance the wind wave fluctuation power, prolong the life of the EL, fully utilize the space of the SC, and reduce the cost.

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Ochoa, Danny, Sergio Martinez, and Paul Arévalo. "Extended Simplified Electro-Mechanical Model of a Variable-Speed Wind Turbine for Grid Integration Studies: Emulation and Validation on a Microgrid Lab." Electronics 11, no. 23 (November 29, 2022): 3945. http://dx.doi.org/10.3390/electronics11233945.

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The energy transition towards renewable energies is crucial for the sustainable development of a society based on hydrocarbons. The current level of penetration and growth of wind energy in electric power systems is evident and many researchers have presented new methods for simulating and representing the electrical and mechanical characteristics of variable-speed wind turbines. However, complete mathematical models developed and implemented, for example, in MATLAB/Simulink® software, require significant computational efforts that could make grid studies impractical when its scale tends to increase. To contribute to facing this issue, this paper proposes an extended simplified model for a variable-speed wind turbine that considers the dynamic behavior of its mechanical system and includes an approximate representation of the power electronic converter. This approach broadens the scope of studies related to grid frequency control and power quality (fast-frequency response, primary frequency control, and voltage control, among others), considerably reducing the computational burden. Several validations of the proposed simplified model are presented, including comparisons with a doubly fed induction generator-based wind turbine model (phasor type) from the MATLAB/Simulink® library, and laboratory experiments under controlled conditions. The results show a good fit of the proposed simplified model to the MATLAB/Simulink® model, with minimal delays about 3% of the wind turbine inertia constant. Moreover, with the proposal, the computational time is reduced by up to 80% compared to a detailed model. This time reduction is achieved without penalizing the numerical accuracy and the estimation quality of the real behavior of the variable-speed wind turbine.

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Moheb, Aya M., Enas A. El-Hay, and Attia A. El-Fergany. "Comprehensive Review on Fault Ride-Through Requirements of Renewable Hybrid Microgrids." Energies 15, no. 18 (September 16, 2022): 6785. http://dx.doi.org/10.3390/en15186785.

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The world is interested in applying grid codes to increase the reliability of power systems through a micro-grid (MG). In a common practice, the MG comprises a wind farm, and/or photovoltaic (PV) arrays that are integrated with diesel generators and energy storage devices. Fault ride-through (FRT) capability is an important requirement of grid codes. FRT means that the MG is still connected to the grid during numerous disturbances such as faults. This is required to ensure that there is no loss of power generated due to grid faults. Reactive currents must be injected into the grid to increase the power system stability and restore voltage. To enhance FRT for doubly fed induction generator (DFIG) based WT installation, internal control modifications of rotor-side converters and grid-side converters are applied. The solutions that depend on these modifications are traditional and advanced control techniques. Advanced control techniques are needed due to the non-linear nature and less robustness of traditional ones. External hardware devices are also added to improve the FRT of DFIG which are classified into protection devices, reactive power injection devices, and energy storage devices. A comprehensive review of FRT enhancements of DFIG-based WTs, PV systems, and MGs using hardware and software methods is presented in this effort. A classification of FRT of PV systems is characterized plus various inverter control techniques are indicated. Several FRT methods for hybrid PV-WT are presented, with full comparisons. The overall operation and the schematic diagrams of the DFIG-WT with FRT methods are discussed and highlighted. Many Robust control methods for controlling grid connected AC, DC and hybrid AC/DC MGs in power systems are addressed. A total of 210 reported articles were review, including the most up-to-date papers published in the literature. This review may be used as the basis to improve system reliability for those interested in FRT methods. Various traditional and advanced control techniques to improve the FRT abilities are summarized and discussed, including protection devices, reactive power injection devices, and energy storage. In addition, the classifications of FRT hardware methods for DFIG are presented, including grid code requirements.

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Nagraju, B., J. Suresh, B. Mohan Kumar, G. Suresh, G. Ravi Varma, M. Murali, K. SowjanKumar, G. V. K. Murthy, and K. Srinivasa Rao. "Integration of Renewable Energy Generating Sources with Micro-Grid." International Journal of Innovative Research in Engineering & Management 9, no. 2 (2022): 628–34. http://dx.doi.org/10.55524/ijirem.2022.9.2.99.

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This paper shows the control of microgrids at isolated sites powered by hybrid wind and solar energy sources. The machine used for wind energy conversion is a double fed induction generator (DFIG) and the battery bank is connected to a common DC bus from them. Photovoltaic (PV) arrays are used to convert solar energy. Solar energy is consumed in a cost-effective manner with a DC-DC boost converter on DFIG's common DC bus. The voltage and frequency are adjusted by the indirect vector control of the line-side converter with drooping characteristics. It changes the frequency reference based on the energy level of the battery, slowing the overcharging or discharging of the battery. This system can be operated without wind power. Control algorithms for wind and solar systems include maximum power point tracking (MPPT). This system is designed for fully automated operation, taking into account all the actual conditions of the system also has external power support to charge the battery without additional requirements. The simulation model of the system is developed in the MATLAB environment, and the simulation results are displayed under various conditions. wind or sun impermeable, unbalanced load is equally non-linear, low battery charge state. Finally, the prototype of the system is implemented using a 5kW photovoltaic array simulator and a 3.7kW wound rotor asynchronous machine to generate experimental results to validate the theoretical model and design.

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Shahabi, M., M. R. Haghifam, M. Mohamadian, and S. A. Nabavi-Niaki. "Microgrid Dynamic Performance Improvement Using a Doubly Fed Induction Wind Generator." IEEE Transactions on Energy Conversion 24, no. 1 (March 2009): 137–45. http://dx.doi.org/10.1109/tec.2008.2006556.

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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 Connecting Open-End Doubly Fed Induction Generator to a DC-Microgrid." IEEE Transactions on Industry Applications 57, no. 5 (September 2021): 5001–12. http://dx.doi.org/10.1109/tia.2021.3087119.

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Nguyen, Trong-Thang. "A Rotor-Sync Signal-Based Control System of a Doubly-Fed Induction Generator in the Shaft Generation of a Ship." Processes 7, no. 4 (April 1, 2019): 188. http://dx.doi.org/10.3390/pr7040188.

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A doubly-fed induction machine in generator-mode is popularly used for energy generation, particularly in the case of a variable speed, such as in the wind generator, the shaft generator of a ship, because the doubly-fed induction generator is able to maintain a stable frequency when changing the rotor speed. This paper aims to propose a novel method for controlling the shaft generation system of a ship using a doubly-fed induction generator. This method uses the rotor signals of a small doubly-fed induction machine as base components to create the control signal for the doubly-fed induction generators. The proposed method will be proven by both theory and a simulation model. The advantage of the proposed method is that the control system of the generator can be simply built, but it functions effectively. The generator voltage always coincides with the grid voltage, even when the grid voltage and the rotor speed are changed, and the reactive and active power of the generator fed into the grid can be separately controlled.

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Aljafari, Belqasem, Jasmin Pamela Stephenraj, Indragandhi Vairavasundaram, and Raja Singh Rassiah. "Steady State Modeling and Performance Analysis of a Wind Turbine-Based Doubly Fed Induction Generator System with Rotor Control." Energies 15, no. 9 (May 3, 2022): 3327. http://dx.doi.org/10.3390/en15093327.

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The utilization of renewable energy sources aids in the economic development of a country. Among the various renewable energy sources, wind energy is more effective for electricity production. The doubly fed induction generator is an extensively known wind turbine generator for its partially rated power converters and dynamic performance. The doubly fed induction generator assists the wind turbine to function with a wide speed range. Hence, the steady-state performance analysis of a doubly fed induction generator helps enable it to operate efficiently at a specific wind turbine speed. In this paper, a 2 MW variable speed pitch regulated doubly fed induction generator with a speed range of 900—2000 rpm was opted for steady-state analysis. This was followed by the design and modelling of a doubly fed induction generator in Matlab/Simulink environment, and the analyses were performed using mathematical equations computed via Matlab coding. The steady-state magnitudes were calculated with rotor magnetization idr = 0. The closed-loop stator flux-oriented vector control is applied to the rotor side converter for controlling the designed doubly fed induction generator model. The simulation results were compared with computational values to establish a workable model with less than 10% error. The simulation model can be used for predicting the performance of the machine, fault analysis, and validation of existing DFIG at a steady state.

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Naderi, Seyed, Pooya Davari, Dao Zhou, Michael Negnevitsky, and Frede Blaabjerg. "A Review on Fault Current Limiting Devices to Enhance the Fault Ride-Through Capability of the Doubly-Fed Induction Generator Based Wind Turbine." Applied Sciences 8, no. 11 (October 25, 2018): 2059. http://dx.doi.org/10.3390/app8112059.

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The doubly-fed induction generator has significant features compared to the fixed speed wind turbine, which has popularised its application in power systems. Due to partial rated back-to-back converters in the doubly-fed induction generator, fault ride-through capability improvement is one of the important subjects in relation to new grid code requirements. To enhance the fault ride-through capability of the doubly-fed induction generator, many studies have been carried out. Fault current limiting devices are one of the techniques utilised to limit the current level and protect the switches, of the back-to-back converter, from over-current damage. In this paper, a review is carried out based on the fault current limiting characteristic of fault current limiting devices, utilised in the doubly-fed induction generator. Accordingly, fault current limiters and series dynamic braking resistors are mainly considered. Operation of all configurations, including their advantages and disadvantages, is explained. Impedance type and the location of the fault current limiting devices are two important factors, which significantly affect the behaviour of the doubly-fed induction generator in the fault condition. These two factors are studied by way of simulation, basically, and their effects on the key parameters of the doubly-fed induction generator are investigated. Finally, future works, in respect to the application of the fault current limiter for the improvement of the fault ride-through of the doubly-fed induction generator, have also been discussed in the conclusion section.

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Lakshmi, Dr G. V. Naga, and A. Srinika. "Grid Sychronization of Wind Based Microgrid." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (April 30, 2023): 4869–80. http://dx.doi.org/10.22214/ijraset.2023.51877.

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Abstract: This paper presents the methods for synchronization of a wind based micro grid with main grid. The wind power is generated using the permanent magnet brushless DC generator (PMBLDCG) and the MPPT (Maximum Power Point Tracking) is executed with P&O (Perturb & Observe) approach to extract the maximum power from the wind generation. This power is fed to the AC load using a voltage source inverter (VSI) through the battery bank (BSS) at DC link. The control algorithm operates in standalone mode and grid connected mode. It can switch between islanded and grid connected modes seamlessly according to the wind conditions. In standalone mode, this wind power is fed to the load through a VSI, during low wind conditions; the battery discharges itself to fulfill the load demand. After that, the grid is connected to give power to the load during low wind conditions, and for this, control algorithm operates in grid connected mode. Therefore, the control algorithm switches from voltage control to current control mode to provide smooth synchronization and vice versa at de-synchronization. A MATLAB Simulink model is developed to simulate the system performance during wind variations and load, and during synchronization and de-synchronization.

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Fang, Pan Yu, Zeng Ping Wang, and De Zhi Chen. "Transient Stability Study of Power System Integrated with Doubly Fed Induction Generator Considering Different Integrating Points." Applied Mechanics and Materials 543-547 (March 2014): 629–32. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.629.

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Doubly-fed induction generator has become one of most popular generators driven by wind due to its superior behavior in power system. Because of the different physical structures between doubly-fed induction generation units and normal synchronous units, they behave differently in the failure of power system. Based on the analysis of transient behavior of doubly-fed induction generator units, the transient stability of power system integrated with doubly fed induction generator considering different integrating points is discussed. The simulation results verify the validity of the conclusion at the last of this paper.

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Bayhan, Sertac, Omar Ellabban, and Haitham Abu-Rub. "Sensorless model predictive control scheme of wind-driven doubly fed induction generator in dc microgrid." IET Renewable Power Generation 10, no. 4 (April 1, 2016): 514–21. http://dx.doi.org/10.1049/iet-rpg.2015.0347.

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Huerta, H. "Energy-Based Robust Control of Doubly-Fed Induction Generator." Iranian Journal of Science and Technology, Transactions of Electrical Engineering 40, no. 1 (March 2016): 23–33. http://dx.doi.org/10.1007/s40998-016-0003-3.

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Shafi, Shakir, and Hardeep Singh Dhillon. "Ideal Renewable Energy Utilization Through Sectionalization of Battery Banks in Microgrid." International Journal of Innovative Research in Engineering and Management 10, no. 3 (June 2, 2023): 23–28. http://dx.doi.org/10.55524/ijirem.2023.10.3.5.

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Hybrid energy system consists of two or more forms of energy sources. This dissertation presents a control of a micro-grid which is fed by hybrid energy sources. It is fed by wind energy, the conversion of which is done via a setup which has a doubly fed induction generator (DFIG) and a battery bank with a common DC bus. It is also fed by solar energy, the conversion of which is done using a solar photovoltaic (PV) array. The common DC bus is used for evacuating this power via DC-DC boost converter. Vector control of LSC is used for managing the voltage and frequency. The setup works when the wind power source is inaccessible. The algorithm for both energy blocks contains maximum power point tracking (MPPT). The simulation for the said mode has been developed using MATLAB. A prototype is finally implemented. The study of the said model is then made for various inputs under various load conditions. It is seen that the power quality remains within the satisfactory breaking points at high terminals.

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Zheng, Shouqing, Yike Bai, Ruida Hou, and Bao Liang Wang. "Research on Modeling and Simulation of Doubly Fed Induction Wind Turbine Based on Matlab/Simulink." Bulletin of Science and Practice, no. 6 (June 15, 2023): 309–26. http://dx.doi.org/10.33619/2414-2948/91/39.

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This paper first introduces the structure of doubly-fed wind power generation system and the working principle of doubly-fed induction generator in detail, and establishes the corresponding mathematical model of doubly-fed wind power generation unit. The control part of wind power generation system based on doubly-fed induction generator includes rotor side control and stator side control. The rotor side control adopts the vector control strategy based on stator flux orientation of the double-fed induction generator connected to the grid, and the working principle is analyzed in detail, and the main part of the simulation modeling is given. Stator side control adopts vector control strategy of grid-connected inverter control, and its working principle is analyzed in detail, and the main part of simulation modeling is also given. In order to verify the correctness and feasibility of the system, the simulation experiment platform of doubly fed wind turbine under this control strategy is built by using Matlab/Simulink simulation platform, and its simulation analysis is carried out in detail.

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Mohan, B. Murali, M. Pala Prasad Reddy, and M. Lakshminarayana. "A Fuzzy Logic Based Mppt Controller For Wind-Driven Three-Phase Self-Excited Induction Generators Supplying Dc Microgrid." International Journal of Advances in Applied Sciences 6, no. 4 (December 1, 2017): 325. http://dx.doi.org/10.11591/ijaas.v6.i4.pp325-334.

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In this paper, a straightforward strategy for tracking the maximum power (MP) accessible in the wind energy conversion system for dc microgrid is proposed. A three-phase diode bridge rectifier alongside a dc-dc converter has been utilized between the terminals of wind-driven induction generator and dc microgrid. Induction generator is being worked in self-energized mode with excitation capacitor at stator. The output current i.e., dc grid current act as a control variable to track the MP in the proposed WECS. In this manner, the proposed calculation for maximum power point tracking (MPPT) is autonomous of the machine and wind-turbine parameters. Further, a technique has been created for deciding the obligation proportion of the dc-dc converter for working the proposed system in MPPT condition utilizing wind turbine qualities, relentless state proportionate circuit of prompting generator and power balance in power converters. Circuit straightforwardness and basic control calculation are the significant points of interest of the proposed setup for supplying energy to the dc microgrid from WECS. The fruitful working of the proposed calculation for Fuzzy logic based MPPT has been shown with broad exploratory results alongside the simulated values.

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Prashanti Chintada and Pakki Murari. "Adaptive Neural Fuzzy Inference System Based Adaptive Sliding Mode Control of a Standalone Single-Phase Microgrid." November 2020 6, no. 11 (November 23, 2020): 34–41. http://dx.doi.org/10.46501/ijmtst061107.

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This paperpresents an ANFIS based adaptive sliding mode control (ASMC) of a standalone single phase microgrid system. The proposed microgrid system integrates a micro-hydro turbine driven single-phase two winding self-excited induction generator (SEIG) with a wind driven permanent magnet brushless DC (PMBLDC) generator, solar photo-voltaic (PV) array and a battery energy storage system (BESS). These renewable energy sources are integrated using a single-phase voltage source converter (VSC). The ASMC based control algorithm is used to estimate the reference source current which controls the single-phase VSC and regulates the voltage and frequency of the microgrid in addition to harmonics current mitigation. The adaptive sliding mode control with ANFIS is used to maintain the energy balance among wind, micro-hydro, solar PV power and BESS, which controls the frequency of standalone microgrid. Simulation results from MATLAB/SIMULINK of the proposed microgrid shows that the grid voltage and frequency are maintained constant while the system is following various changes in dynamic state such as sudden change in wind speed, changes in solar insolation level and changes in loads

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Batool, Um-e., Sajid Hussain Qazi, Mazhar Hussain Baloch, Ali Asghar Memon, and Awais Ahmed. "Controller for Voltage Profile Improvement of Double Fed Induction Generator based Wind Generator." International Journal of Electrical and Electronics Engineering 7, no. 12 (December 25, 2020): 21–26. http://dx.doi.org/10.14445/23488379/ijeee-v7i12p104.

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Vanitha, V., R. Resmi, and K. Ramash Kumar. "Fabrication and Mathematical Modeling of the Brushless Doubly Fed Induction Generator-Based Wind Electric Conversion System." Mathematical Problems in Engineering 2022 (October 13, 2022): 1–14. http://dx.doi.org/10.1155/2022/2998210.

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Electricity generation with minimal environmental pollution is required for the world’s sustainable future, and wind electric generation is one of them. Brushless doubly fed induction generator (BDFIG), which derives from cascade induction machine technology, has grown in popularity as a wind electric generator due to advantages over doubly fed induction generator (DFIG) and permanent magnet synchronous generator (PMSG) such as the absence of slip rings and brushes and high-cost permanent magnets. Wind energy research is critical for any country’s economic development and long-term sustainability. As a result, an experimental setup in a laboratory is required to replicate the behaviour of a wind turbine in the steady state. This study discusses the emulation of wind turbine characteristics in the laboratory using a prototype of a separately excited DC motor mechanically coupled to a brushless doubly fed induction generator (BDFIG). The wind turbine emulator-brushless doubly fed induction machine (WTE-BDFIM) prototype was tested in the laboratory under high power and low wind speed conditions. As a result, the simulation of the same hardware configuration in MATLAB was performed to investigate the overall performance of the BDFIM-based WECS. To determine the equivalent circuit parameters of the BDFIM, which are required for simulation, tests were performed on a prototype of 3.5 kW, 2/6 pole, 400 V, star/delta-star, and BDFIM in two modes, namely, the simple induction mode and the cascade induction mode. Based on the BDFIM parameters, a MATLAB Simulink model of a BDFIG-based wind electric conversion system (WECS) is created and its performance is investigated. Results of both hardware and simulation show that BDFIG can be used as the wind electric generator over a wider speed range compared to that of DFIG, an important feature that is required to get maximum power extraction from the wind turbine.

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Sun, Li Ling, and Dan Fang. "Improved Control Strategy of Wind Turbine with DFIG for Low Voltage Ride through Capability." Applied Mechanics and Materials 707 (December 2014): 329–32. http://dx.doi.org/10.4028/www.scientific.net/amm.707.329.

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As the number of doubly fed induction generator (DFIG)- based wind-turbine systems continues to increase, wind turbines are required to provide Low Voltage Ride-Through (LVRT) capability, especially under the condition of grid voltage dips. This paper, depending on the operating characteristics of doubly-fed induction generator during grid faults ,deals with a protection and control strategy on rotor-side converter (RSC) to enhance the low voltage ride through capability of a wind turbine driven doubly fed induction generator (DFIG). The simulation and experiment studies demonstrate the correctness of the developed model and the effectiveness of the control strategy for DFIG-based wind-turbine systems under such adverse grid conditions.

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Vo, T., J. Ravishankar, H. I. Nurdin, and J. Fletcher. "A Comparison of PI vs LPV Controllers for a Doubly-Fed Induction Generator in a Microgrid." Wind Engineering 39, no. 4 (August 2015): 479–93. http://dx.doi.org/10.1260/0309-524x.39.4.479.

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Abu-Zaid, Salama. "PERFORMANCE OF DOUBLY-FED INDUCTION GENERATOR BASED ON WIND TURBINE." Journal of Al-Azhar University Engineering Sector 13, no. 48 (July 1, 2018): 1110–16. http://dx.doi.org/10.21608/auej.2018.18980.

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Cendoya, Marcelo G., Juan I. Talpone, Paul F. Puleston, Jose A. Barrado-Rodrigo, Luis Martinez-Salamero, and Pedro E. Battaiotto. "Management of a Dual-Bus AC+DC Microgrid Based on a Wind Turbine with Double Stator Induction Generator." WSEAS TRANSACTIONS ON POWER SYSTEMS 16 (December 22, 2021): 297–307. http://dx.doi.org/10.37394/232016.2021.16.30.

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The topology and management of a sustainable dual-bus, AC and DC, microgrid designed to operate connected to a weak grid is presented. AC+DC hybrid microgrids are a robust and cost-competitive solution for poorly connected areas, as can be found in rural or island electrification. The versatile microgrid proposed in this work is developed around a wind turbine based on a particular induction generator with double stator winding and squirrel cage rotor (DWIG). This singular generator is especially suitable for a combined AC+DC coupled microgrid application. One of its stator windings is coupled to the DC bus via a controlled AC/DC converter. The other is directly connected to the AC bus, only during the periods of abundant wind resource. The DWIG is complemented with photovoltaic panels and a hybrid energy storage system, comprising flow batteries assisted by supercapacitors, which converge to the DC Bus. The DC bus exchanges power with the AC bus through an interlinking inverter. The article describes the topology and details the operation of its Supervisory Control system, which gives rise to the five operating modes of the proposed AC+DC DWIG based microgrid. Its performance under different generation conditions and load regimes is thoroughly assessed by simulation.

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Jose, Julia Tholath, and Adhir Baran Chattopadhyay. "Mathematical Formulation of Feedback Linearizing Control of Doubly Fed Induction Generator Including Magnetic Saturation Effects." Mathematical Problems in Engineering 2020 (February 1, 2020): 1–10. http://dx.doi.org/10.1155/2020/3012406.

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This paper proposes a control methodology based on feedback linearization for a doubly fed induction generator (DFIG) incorporating the magnetic saturation. The feedback linearization algebraically converts a nonlinear system model into a linear model, allowing the use of linear control techniques. Feedback linearization control depends on the model of the system and is therefore sensitive to parameter variations. The doubly fed induction generator (DFIG) operating under the magnetic saturation conditions results in the nonlinear variation of magnetizing inductance, which affects the performance of the control algorithm. From this stand point, on the basis of the dynamic model of the doubly fed induction generator considering magnetic saturation, the feedback linearizing control technique has been formulated. The mathematical model of the doubly fed induction generator, integrating the magnetic saturation has been formulated in the stator flux-oriented reference frame with rotor current and stator magnetizing current as state variables. Simulation studies demonstrate that the inclusion of magnetic saturation in the feedback linearization control of the doubly fed induction generator model increases its accuracy and results in a more efficient and reliable synthesis of the control algorithm.

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Shapoval, I. A., V. M. Mikhalsky, M. Yu Artemenko, V. V. Chopyk, and S. Y. Polishchuk. "CONTROL STRATEGIES TO ELIMINATE HARMONICS IN POWER GENERATION SYSTEMS BASED ON A DOUBLY-FED INDUCTION GENERATOR." Praci Institutu elektrodinamiki Nacionalanoi akademii nauk Ukraini, no. 61 (May 25, 2022): 13–24. http://dx.doi.org/10.15407/publishing2022.61.013.

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The variable speed power generation system based on a doubly-fed induction generator is the most popular in the wind industry. The stator is connected directly to the mains in such a generator, while the rotor is connected to the mains via a semiconductor converter. Low electric power quality increases energy and economic losses, leading to operational problems of production. Many publications discuss improving the electric power quality, particularly methods for eliminating harmonics for a power generation system based on a doubly-fed induction generator. Critical evaluation is needed to choose a method of eliminating harmonies for a particular case. The article presents an overview of different control methods for harmonic elimination in power generation systems based on a doubly-fed induction generator. Various strategies are used, which are used both in autonomous systems and in the mode of connection to the network. During the review of control methods for harmonic elimination, their different characteristics were noted, and the ad-vantages and disadvantages of each method were considered. Ref. 53, fig. 6.

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Rohmingtluanga, C., Subir Datta, Nidul Sinha, Taha Selim Ustun, and Akhtar Kalam. "ANFIS-Based Droop Control of an AC Microgrid System: Considering Intake of Water Treatment Plant." Energies 15, no. 19 (October 10, 2022): 7442. http://dx.doi.org/10.3390/en15197442.

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Provision of an efficient water supply system (WSS) is one of the top priorities of all municipals to ascertain adequate water supply to the city. Intake is the lifeline of the water supply system and largely effects the overall plant efficiency. The required power supply is generally fed from the main grid, and a diesel generator is commonly used as a power backup source. This results in high pumping cost as well as high operational cost. Moreover, due to operation of motor pumps and other auxiliary loads, frequent maintenance is required. Therefore, to avoid various challenges and to efficiently operate the intake system, microgrid concept has been introduced in this paper. Various distributed generations (DGs) such as solar photovoltaic (PV), interior permanent magnet machine (IPM) wind turbine generator and Battery energy storage system (BESS) are incorporated in the microgrid system. Additionally, a new approach based on adaptive neuro-fuzzy inference system (ANFIS) is proposed, where P-f and Q-V droop is considered while training the ANFIS data; after successful training, the microgrid voltage and frequency are controlled as per system requirement. Simulation of the microgrid system shows good results and comparison with the generalized droop control (GDC) method is done using MATLAB/Simulink software.

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Ben Amar, Asma. "Direct Torque Control of a Doubly Fed Induction Generator." International Journal of Energetica 2, no. 1 (June 30, 2017): 11. http://dx.doi.org/10.47238/ijeca.v2i1.25.

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In this paper a direct torque control system is proposed and is applied to doubly fed induction generator (DFIG) based wind power generation systems. In this control system the rotor flux and the electromagnetic torque are estimated based on the rotor voltage and currents measurements. The validity and effectiveness of this control is demonstrated by some simulation results.

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Ion, Catalin, and Ioan Serban. "Seamless Integration of an Autonomous Induction Generator System into an Inverter-Based Microgrid." Energies 12, no. 4 (February 16, 2019): 638. http://dx.doi.org/10.3390/en12040638.

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A control strategy for an autonomous induction generator (IG) system synchronization and seamless transfer to an inverter-based microgrid (MG) is presented in the current paper. The IG system control in autonomous mode is performed by a combination between a Voltage Source Inverter (VSI) and a Dump Load (DL). The MG consists of an MG leading inverter having on its DC side a supercapacitor-based energy storage system, two MG supporting inverters, and local loads. The paper presents the IG control part for the VSI-DL system, as well as the synchronisation algorithm that enables the smooth interconnection with the MG. An analysis of the IG impact on an islanded MG is also provided. Experimental validations accomplished on a complex laboratory test-bench have focused on the dynamic events associated with the IG system connection/disconnection to/from the MG and also on the MG response to a load being turned on and off when the IG operates connected to the MG. The obtained results have shown that the proposed synchronization algorithm ensures a seamless transfer for the IG system from autonomous to MG connected mode and vice-versa. Moreover, when a significant load transient occurs within the MG operation, the IG presence does not alter the MG stability.

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Vasamsetti, Mrs Ramya, Ms S. Varalakshmi, and Mrs M. Manga Lakshmi. "Voltage Regulation of Hydro Standalone 1-Φ Micro Grid using Fuzzy Logic Based Adaptive Sliding Mode Control Algorithm." International Journal of Engineering and Advanced Technology 10, no. 2 (December 30, 2020): 241–49. http://dx.doi.org/10.35940/ijeat.b2071.1210220.

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This paper presents an adaptive sliding mode control (ASMC) of an improved power quality standalone single phase microgrid system. The proposed microgrid system integrates a governor-less micro-hydro turbine driven single- phase two winding self-excited induction generator (SEIG) with a wind driven permanent magnet brushless DC (PMBLDC) generator, solar photo-voltaic (PV) array and a battery energy storage system (BESS). These renewable energy sources are integrated using only one single-phase voltage source converter (VSC). The ASMC based control algorithm is used to estimate the reference source current which controls the single-phase VSC and regulates the voltage and frequency of the microgrid in addition to harmonics current mitigation. The proposed ASMC estimates the reference real and reactive powers of the system, which is adaptive to the fluctuating loads. The sliding mode control is used to estimate the reference real power of the system to maintain the energy balance among wind, micro-hydro, solar PV power and BESS, which controls the frequency of standalone microgrid. The proposed microgrid is implemented in real time using a DSP (Digital Signal Processor) controller. Test results of proposed microgrid shows that the grid voltage and frequency are maintained constant while the system is following a sudden change in loads and under intermittent penetration of wind and solar energy sources.

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Mahroug, Rabiaa, Mohamed Matallah, and Salam Abudura. "Modeling of wind turbine based on dual DFIG generators." International Journal of Power Electronics and Drive Systems (IJPEDS) 13, no. 2 (June 1, 2022): 1170. http://dx.doi.org/10.11591/ijpeds.v13.i2.pp1170-1185.

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In order to investigate a viable approach to fully exploit the wind speed, the present work investigates the application of a novel wind turbine consisting of dual doubly-fed induction generators (DFIG). The model can be further used to apply in areas where the winds are high to achieve high conversion efficiency in order to produce large electric power and increase the wind turbine capacity with an economy of hardware on the one hand, and to reduce the installation cost on the other. Furthermore, this model is always guarantees the continuity of power production because if one generator fails, the second generator will keep working until the broken one is repaired. The proposed model of the wind turbine based on dual doubly-fed induction generators (WT-dual-DFIG) were using the indirect field-oriented control (IFOC) was validated by wind turbine based on single doubly-fed induction generator (WT-single-DFIG) in MATLAB/Simulink. The results of simulation show that the simulated responses of the WT-dual-DFIG increased the power by a factor of about 14.3% compared to a WT-single-DFIG due to the use of a variable speed dual-DFIG. Finally, we can say that the WT-dual-DFIG model is strongly developed and could be applied in the coming years.

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Ling, Yu. "Study of the influence of different feed-forward voltage compensation terms on the fault ride-through capability of doubly fed induction generator wind turbines." Wind Engineering 41, no. 3 (March 31, 2017): 147–59. http://dx.doi.org/10.1177/0309524x17699922.

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As a result of the increasing wind power penetration into power systems, the wind farms, especially with doubly fed induction generators, are required to have the fault ride-through capability. The article presents a study on the influence of three different feed-forward voltage compensation terms in rotor current control on the fault ride-through capability of doubly fed induction generator wind turbines. The study focuses on the enhancement of fault ride-through capability for doubly fed induction generator wind turbines by adopting different feed-forward voltage compensation terms in rotor current control. The three control strategies, which are developed based on different feed-forward voltage compensation terms, are evaluated through simulations of doubly fed induction generator wind turbines under both normal conditions and grid voltage fault conditions. The three control methods present different performances. Under normal conditions, the control system 1 presents better performance. However, the control system 3 presents better performance when the doubly fed induction generator wind turbine is subjected to a voltage fault. In order not to have the influence on the performance under normal operating conditions, the added feed-forward voltage compensation terms in the control system 3, which acted as a fault control mode, are enabled only when a voltage fault occurs in the grid.

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Jain, Monika, Sushma Gupta, Deepika Masand, and Gayatri Agnihotri. "Soft Computing Technique-Based Voltage/Frequency Controller for a Self-Excited Induction Generator-Based Microgrid." Journal of Circuits, Systems and Computers 25, no. 02 (December 23, 2015): 1650012. http://dx.doi.org/10.1142/s0218126616500122.

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Microgrids (MGs) are small scale energy unit networks that can offer an adequate energy supply to cover local demand by incorporating renewable energy and storage technologies. The system capacity is generally between several kW to several MW. They work in terms of low voltage (LV) level or medium voltage (MV) level. They can also be connected/disconnected from main grid whenever it is necessary. This paper presents a comparison of two soft computing (SC) techniques fuzzy logic (FL)/artificial neural network (ANN) over a conventional proportional integral (PI)-based voltage frequency controllers used for improving the performance of MG under islanding mode. Microgrid is formed by using three 7.5[Formula: see text]kW, four pole, 50[Formula: see text]Hz, self-excited induction generators (SEIGs) driven by small hydro turbine feeding three-phase four-wire consumer load. The proposed topology functions excellently in maintaining phase angle, voltage and frequency (VF) regulation of the micro sources (MSs) in islanded mode as well as in resynchronization when one of the MSs is turned off due to fault or unavailability of resources. The conventional PI controller is replaced by a controller based on SC techniques, as it has disadvantages like explicit description of mathematical model, affected by variations in consumer loads and sources, thus the proposed SC techniques enhance the performance of VF controller. A comparative analysis of PI/FL/ANN controller is also carried out to highlight the superiority of AI controller. The performance of controller with proposed configuration is verified for balanced/unbalanced non-linear load. Microgrid and control schemes are simulated in MATLAB Sim Power Systems environment.

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Sun, Dan, Yangming Wang, Tianlong Jiang, Xiaohe Wang, Jun Sun, and Heng Nian. "Multi-Target Control Strategy of DFIG Using Virtual Synchronous Generator Based on Extended Power Resonance Control under Unbalanced Power Grid." Energies 13, no. 9 (May 3, 2020): 2232. http://dx.doi.org/10.3390/en13092232.

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Virtual synchronous generator control is considered as an effective solution to optimize the frequency response characteristics of doubly fed induction generator. However, due to the insufficient control bandwidth of the original virtual synchronous generator, it has little control effect over the oscillating components of the power caused by the unbalanced grid voltage. Therefore, long-term unbalanced voltage will cause a series of problems, such as distortion of stator and rotor currents, as well as oscillations of power and electromagnetic torque, which seriously affect the power quality and the operating performance of the doubly fed induction generator. To solve these problems, the concept of extended power is introduced, and the second-order generalized integrator-based resonant controller is used to control the extended power and traditional power. Control targets of the extended power method are discussed and extended, so that the doubly fed induction generator system using extended power resonant control-based virtual synchronous generator control can realize three different control targets under the unbalanced grid condition. The three control targets are: balanced and sinusoidal stator current, sinusoidal stator current and constant active power, and sinusoidal stator current and constant reactive power and electromagnetic torque. The three control targets can also be flexibly switched according to the real-time requirements of the grid with unbalanced voltage. The simulation results verify the effectiveness of the control method.

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Morsali, Payam, Pooria Morsali, and Erfan Gholami Ghadikola. "Analysis and Simulation of Optimal Crowbar Value Selection on Low Voltage Ride-Through Behavior of a DFIG-Based Wind Turbine." Proceedings 58, no. 1 (September 14, 2020): 18. http://dx.doi.org/10.3390/wef-06939.

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The energy production future is dominated by renewable energy sources driven by global warming problems and aiming at the reduction of fossil fuel dependence. Wind energy is becoming competitive with fossil fuels considering its less price and less CO2 emission production. Wind turbines consist of different types, including Doubly Fed Induction Generator (DFIG) which is a variable speed wind turbine and operates at varying speeds corresponding to the varying wind speeds from the cut-in speed through the rated wind speed to the cut-out speed. In the case of grid failure, the network voltage drops; consequently, the rotor current and DC link voltage increase which leads to damage of the rotor windings and power electronics device. Some protections are applied to the machine in order to help the Low Voltage Ride-Through (LVRT) ability of the doubly fed induction generator. In this root, the crowbar protection circuit is used widely in wind power plants. However, crowbar protection should be sized carefully due to its effects on both DC link voltage and rotor currents. In this paper, a doubly fed induction generator with crowbar protection is studied and the optimum value for the crowbar protection is derived; then, a Simulink model of a doubly fed induction generator protected by a crowbar protection is developed and used to analyze the effect of crowbar protection value on the DC link voltage and rotor currents. The results show a significant improvement in the LVRT ability of the DFIG.

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Huerta, H., and A. Loukianov. "Energy based sliding mode control of Brushless Double-fed Induction Generator." International Journal of Electrical Power & Energy Systems 130 (September 2021): 107002. http://dx.doi.org/10.1016/j.ijepes.2021.107002.

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Manohar, G., and S. Venkateshwarlu. "Analysis of Grid connected Doubly Fed Induction Generator based Wind Turbine." CVR Journal of Science & Technology 10, no. 1 (June 1, 2016): 59–64. http://dx.doi.org/10.32377/cvrjst1013.

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

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