Direct power control using space vector modulation strategy control for wind energy conversion system using three-phase matrix converter
DOI:
https://doi.org/10.20998/2074-272X.2023.3.06Keywords:
doubly fed induction generator, matrix converter, wind turbine, direct power control using space vector modulation strategy control, power qualityAbstract
Introduction. Wind energy conversion system is getting a lot of attention since, they are provide several advantages, such as cost competitive, environmentally clean, and safe renewable power source as compared with the fossil fuel and nuclear power generation. A special type of induction generator, called a doubly fed induction generator is used extensively for high-power wind energy conversion system. They are used more and more in wind turbine applications due to the advantages of variable speed operation range and its four quadrants active and reactive power capabilities, high energy efficiency, and the improved power quality. Wind energy conversion systems require a good choice of power electronic converters for the improvement of the quality of the electrical energy produced at the generator terminals. There are several power electronics converters that are the most popular such as the two stage back-back converter. Because of the disadvantage of these converters to produce large harmonics distortions, we will choose using of three-phase matrix converter. Purpose. Work presents a direct power control using space vector modulation for a doubly fed induction generator based wind turbine. The main strategy control is to control the active and reactive powers and reduce the harmonic distortion of stator currents for variable wind speed. The novelty of the work is to use a doubly fed induction machine and a three pulses matrix converter to reduce the low cost, volume and the elimination of the grid side converter controller are very attractive aspects of the proposed topology compared to the conventional methods such as back-to-back converters. Simulation results are carried out on a 1.5 MW of wind energy conversion system connected to the grid. The efficiency of the proposed system has been simulated and high results performances are evaluated to show the validity of the proposed control strategy to decouple and control the active and reactive power for different values of wind speed.
References
Bistline J., Abhyankar N., Blanford G., Clarke L., Fakhry R., McJeon H., Reilly J., Roney C., Wilson T., Yuan M., Zhao A. Actions for reducing US emissions at least 50% by 2030. Science, 2022, vol. 376, no. 6596, pp. 922-924. doi: https://doi.org/10.1126/science.abn0661.
Williams J.H., DeBenedictis A., Ghanadan R., Mahone A., Moore J., Morrow W.R., Price S., Torn M.S. The Technology Path to Deep Greenhouse Gas Emissions Cuts by 2050: The Pivotal Role of Electricity. Science, 2012, vol. 335, no. 6064, pp. 53-59. doi: https://doi.org/10.1126/science.1208365.
Pfenninger S., Keirstead J. Comparing concentrating solar and nuclear power as baseload providers using the example of South Africa. Energy, 2015, vol. 87, pp. 303-314. doi: https://doi.org/10.1016/j.energy.2015.04.077.
Boopathi K., Ramaswamy S., Kirubakaran V., Uma K., Saravanan G., Thyagaraj S., Balaraman K. Economic investigation of repowering of the existing wind farms with hybrid wind and solar power plants: a case study. International Journal of Energy and Environmental Engineering, 2021, vol. 12. no. 4, pp. 855-871. doi: https://doi.org/10.1007/s40095-021-00391-3.
Staffell I., Pfenninger S. The increasing impact of weather on electricity supply and demand. Energy, 2018, vol. 145, pp. 65-78. doi: https://doi.org/10.1016/j.energy.2017.12.051.
Sureshkumar K., Ponnusamy V. Hybrid renewable energy systems for power flow management in smart grid using an efficient hybrid technique. Transactions of the Institute of Measurement and Control, 2020, vol. 42, no. 11, pp. 2068-2087. doi: https://doi.org/10.1177/0142331220904818.
Boumassata A., Kerdoun D., Oualah O. Maximum power control of a wind generator with an energy storage system to fix the delivered power. Electrical Engineering & Electromechanics, 2022, no. 2, pp. 41-46. doi: https://doi.org/10.20998/2074-272X.2022.2.07.
Boutoubat M., Mokrani L., Machmoum M. Control of a wind energy conversion system equipped by a DFIG for active power generation and power quality improvement. Renewable Energy, 2013, vol. 50, pp. 378-386. doi: https://doi.org/10.1016/j.renene.2012.06.058.
Tang C.Y., Guo Y., Jiang J.N. Nonlinear Dual-Mode Control of Variable-Speed Wind Turbines With Doubly Fed Induction Generators. IEEE Transactions on Control Systems Technology, 2011, vol. 19, no. 4, pp. 744-756. doi: https://doi.org/10.1109/TCST.2010.2053931.
El-Sattar A.A., Saad N.H., El-Dein M.Z.S. Dynamic response of doubly fed induction generator variable speed wind turbine under fault. Electric Power Systems Research, 2008, vol. 78, no. 7, pp. 1240-1246. doi: https://doi.org/10.1016/j.epsr.2007.10.005.
Kahla S., Bechouat M., Amieur T., Sedraoui M., Babes B., Hamouda N. Maximum power extraction framework using robust fractional-order feedback linearization control and GM-CPSO for PMSG-based WECS. Wind Engineering, 2021, vol. 45, no. 4, pp. 1040-1054. doi: https://doi.org/10.1177/0309524X20948263.
Sahri Y., Tamalouzt S., Hamoudi F., Belaid S.L., Bajaj M., Alharthi M.M., Alzaidi M.S., Ghoneim S.S.M. New intelligent direct power control of DFIG-based wind conversion system by using machine learning under variations of all operating and compensation modes. Energy Reports, 2021, vol. 7, pp. 6394-6412. doi: https://doi.org/10.1016/j.egyr.2021.09.075.
Mazouz F., Belkacem S., Colak I., Drid S., Harbouche Y. Adaptive direct power control for double fed induction generator used in wind turbine. International Journal of Electrical Power & Energy Systems, 2020, vol. 114, art. no. 105395. doi: https://doi.org/10.1016/j.ijepes.2019.105395.
Zhi D., Xu L. Direct Power Control of DFIG With Constant Switching Frequency and Improved Transient Performance. IEEE Transactions on Energy Conversion, 2007, vol. 22, no. 1, pp. 110-118. doi: https://doi.org/10.1109/TEC.2006.889549.
Babes B., Hamouda N., Kahla S., Amar H., Ghoneim S.S.M. Fuzzy model based multivariable predictive control design for rapid and efficient speed-sensorless maximum power extraction of renewable wind generators. Electrical Engineering & Electromechanics, 2022, no. 3, pp. 51-62. doi: https://doi.org/10.20998/2074-272X.2022.3.08.
Wheeler P.W., Rodriguez J., Clare J.C., Empringham L., Weinstein A. Matrix converters: a technology review. IEEE Transactions on Industrial Electronics, 2002, vol. 49, no. 2, pp. 276-288. doi: https://doi.org/10.1109/41.993260.
Kolar J.W., Friedli T., Rodriguez J., Wheeler P.W. Review of Three-Phase PWM AC–AC Converter Topologies. IEEE Transactions on Industrial Electronics, 2011, vol. 58, no. 11, pp. 4988-5006. doi: https://doi.org/10.1109/TIE.2011.2159353.
Casadei D., Serra G., Tani A., Zarri L. Optimal Use of Zero Vectors for Minimizing the Output Current Distortion in Matrix Converters. IEEE Transactions on Industrial Electronics, 2009, vol. 56, no. 2, pp. 326-336. doi: https://doi.org/10.1109/TIE.2008.2007557.
Varajão D., Araújo R.E. Modulation Methods for Direct and Indirect Matrix Converters: A Review. Electronics, 2021, vol. 10, no. 7, art. no. 812. doi: https://doi.org/10.3390/electronics10070812.
Sayed M.A., Suzuki K., Takeshita T., Kitagawa W. PWM Switching Technique for Three-Phase Bidirectional Grid-Tie DC–AC–AC Converter With High-Frequency Isolation. IEEE Transactions on Power Electronics, 2018, vol. 33, no. 1, pp. 845-858. doi: https://doi.org/10.1109/TPEL.2017.2668441.
Shi T., Wu L., Yan Y., Xia C. Harmonic Spectrum of Output Voltage for Space Vector Pulse Width Modulated Ultra Sparse Matrix Converter. Energies, 2018, vol. 11, no. 2, art. no. 390. doi: https://doi.org/10.3390/en11020390.
Tuyen N., Dzung P. Space Vector Modulation for an Indirect Matrix Converter with Improved Input Power Factor. Energies, 2017, vol. 10, no. 5, art. no. 588. doi: https://doi.org/10.3390/en10050588.
Rodriguez J., Rivera M., Kolar J.W., Wheeler P.W. A Review of Control and Modulation Methods for Matrix Converters. IEEE Transactions on Industrial Electronics, 2012, vol. 59, no. 1, pp. 58-70. doi: https://doi.org/10.1109/TIE.2011.2165310.
Wang X., Lin H., She H., Feng B. A Research on Space Vector Modulation Strategy for Matrix Converter Under Abnormal Input-Voltage Conditions. IEEE Transactions on Industrial Electronics, 2012, vol. 59, no. 1, pp. 93-104. doi: https://doi.org/10.1109/TIE.2011.2157288.
Huber L., Borojevic D. Space vector modulation with unity input power factor for forced commutated cycloconverters. Conference Record of the 1991 IEEE Industry Applications Society Annual Meeting, 1991, pp. 1032-1041. doi: https://doi.org/10.1109/IAS.1991.178363.
Li D., Deng X., Li C., Zhang X., Fang E. Study on the space vector modulation strategy of matrix converter under abnormal input condition. Alexandria Engineering Journal, 2022, vol. 61, no. 6, pp. 4595-4605. doi: https://doi.org/10.1016/j.aej.2021.10.020.
Sellah M., Kouzou A., Mohamed-Seghir M., Rezaoui M.M., Kennel R., Abdelrahem M. Improved DTC-SVM Based on Input-Output Feedback Linearization Technique Applied on DOEWIM Powered by Two Dual Indirect Matrix Converters. Energies, 2021, vol. 14, no. 18, art. no. 5625. doi: https://doi.org/10.3390/en14185625.
Sahri Y., Tamalouzt S., Hamoudi F., Belaid S.L., Bajaj M., Alharthi M.M., Alzaidi M.S., Ghoneim S.S.M. New intelligent direct power control of DFIG-based wind conversion system by using machine learning under variations of all operating and compensation modes. Energy Reports, 2021, vol. 7, pp. 6394-6412. doi: https://doi.org/10.1016/j.egyr.2021.09.075.
Sun D., Wang X., Nian H., Zhu Z.Q. A Sliding-Mode Direct Power Control Strategy for DFIG Under Both Balanced and Unbalanced Grid Conditions Using Extended Active Power. IEEE Transactions on Power Electronics, 2018, vol. 33, no. 2, pp. 1313-1322. doi: https://doi.org/10.1109/TPEL.2017.2686980.
Chaudhuri A., Datta R., Kumar M.P., Davim J.P., Pramanik S. Energy Conversion Strategies for Wind Energy System: Electrical, Mechanical and Material Aspects. Materials, 2022, vol. 15, no. 3, art. no. 1232. doi: https://doi.org/10.3390/ma15031232.
Benbouhenni H., Lemdani S. Combining synergetic control and super twisting algorithm to reduce the active power undulations of doubly fed induction generator for dual-rotor wind turbine system. Electrical Engineering & Electromechanics, 2021, no. 3, pp. 8-17. doi: https://doi.org/10.20998/2074-272X.2021.3.02.
Benbouhenni H., Boudjema Z., Belaidi A. DPC Based on ANFIS Super-Twisting Sliding Mode Algorithm of a Doubly-Fed Induction Generator for Wind Energy System. Journal Européen Des Systèmes Automatisés, 2020, vol. 53, no. 1, pp. 69-80. doi: https://doi.org/10.18280/jesa.530109.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 A. Boukadoum, A. Bouguerne, T. Bahi
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.