Enhancing off-grid wind energy systems with controlled inverter integration for improved power quality
DOI:
https://doi.org/10.20998/2074-272X.2024.5.06Keywords:
off-grid wind energy systems, power quality, optimized control strategies, voltage regulation, harmonic mitigationAbstract
Introduction. Off-grid wind energy systems play a pivotal role in providing clean and sustainable power to remote areas. However, the intermittent nature of wind and the absence of grid connectivity pose significant challenges to maintaining consistent power quality. The wind energy conversion system plays a central role in tapping renewable energy from wind sources. Operational parameters such as rotor and stator currents, output voltages of rectifiers and converters, and grid phase voltage variations are crucial for stable power generation and grid integration. Additionally, optimizing power conversion output through voltage gain analysis in boost converters is essential. Moreover, ensuring electricity quality via total harmonic distortion reduction in inverters is vital for grid compatibility. Goal. Enhancing the power quality of grid-integrated wind energy conversion systems. Methods. The proposed topology is implemented in MATLAB/Simulink with optimized control strategies for enhancing power quality in off-grid wind energy systems. Results. Control strategies with a grid-connected wind energy conversion system yields substantial improvements in power quality. This includes effectively mitigating voltage fluctuations and harmonics, resulting in smoother operation and reduced disturbances on the grid. Practical value. The proposed topology has proven to be extremely useful for off grid-integrated wind system. References 18, table 1, figures 11.
References
Hans F., Borowski P., Wendt J., Quistorf G., Jersch T. Opportunities and Challenges of Advanced Testing Approaches for Multi-Megawatt Wind Turbines. IEEE Open Journal of Power Electronics, 2024, vol. 5, pp. 323-335. doi: https://doi.org/10.1109/OJPEL.2024.3364973.
Kazmi S.H.H., Viafora N., Sorensen T.S., Olesen T.H., Pal B.C., Holboll J. Offshore Windfarm Design Optimization Using Dynamic Rating for Transmission Components. IEEE Transactions on Power Systems, 2022, vol. 37, no. 3, pp. 1820-1830. doi: https://doi.org/10.1109/TPWRS.2021.3118278.
Mehrabankhomartash M., Saeedifard M., Yazdani A. Adjustable Wind Farm Frequency Support Through Multi-Terminal HVDC Grids. IEEE Transactions on Sustainable Energy, 2021, vol. 12, no. 2, pp. 1461-1472. doi: https://doi.org/10.1109/TSTE.2021.3049762.
Xing L., Wei Q., Li R. An Improved Current-Source-Converter-Based Series-Connected Wind Energy Conversion System. IEEE Transactions on Industrial Electronics, 2024, vol. 71, no. 5, pp. 4818-4829. doi: https://doi.org/10.1109/TIE.2023.3283700.
Chen H., Xu D., Deng X. Control for Power Converter of Small-Scale Switched Reluctance Wind Power Generator. IEEE Transactions on Industrial Electronics, 2021, vol. 68, no. 4, pp. 3148-3158. doi: https://doi.org/10.1109/TIE.2020.2978689.
Parimalasundar E., Jayanthi R., Suresh K., Sindhuja R. Investigation of efficient multilevel inverter for photovoltaic energy system and electric vehicle applications. Electrical Engineering & Electromechanics, 2023, no. 4, pp. 47-51. doi: https://doi.org/10.20998/2074-272X.2023.4.07.
Sujatha M.S., Sreelakshmi S., Parimalasundar E., Suresh K. Mitigation of harmonics for five level multilevel inverter with fuzzy logic controller. Electrical Engineering & Electromechanics, 2023, no. 4, pp. 52-56. doi: https://doi.org/10.20998/2074-272X.2023.4.08.
Zong H., Zhang C., Cai X., Molinas M. Oscillation Propagation Analysis of Hybrid AC/DC Grids With High Penetration Renewables. IEEE Transactions on Power Systems, 2022, vol. 37, no. 6, pp. 4761-4772. doi: https://doi.org/10.1109/TPWRS.2022.3150413.
Kumar R., Singh B., Kant P. High Reliable Medium Voltage Drive With Reduced Component Count of Converters. IEEE Transactions on Industry Applications, 2023, vol. 59, no. 3, pp. 3627-3638. doi: https://doi.org/10.1109/TIA.2023.3251968.
Parimalasundar E., Senthil Kumar R., Chandrika V.S., Suresh K. Fault diagnosis in a five-level multilevel inverter using an artificial neural network approach. Electrical Engineering & Electromechanics, 2023, no. 1, pp. 31-39. doi: https://doi.org/10.20998/2074-272X.2023.1.05.
Parimalasundar E., Kumar N.M.G., Geetha P., Suresh K. Performance investigation of modular multilevel inverter topologies for photovoltaic applications with minimal switches. Electrical Engineering & Electromechanics, 2022, no. 6, pp. 28-34. doi: https://doi.org/10.20998/2074-272X.2022.6.05.
Hashimoto J., Ustun T.S., Suzuki M., Sugahara S., Hasegawa M., Otani K. Advanced Grid Integration Test Platform for Increased Distributed Renewable Energy Penetration in Smart Grids. IEEE Access, 2021, vol. 9, pp. 34040-34053. doi: https://doi.org/10.1109/ACCESS.2021.3061731.
Patil H., Nago Kalkhambkar V. Grid Integration of Electric Vehicles for Economic Benefits: A Review. Journal of Modern Power Systems and Clean Energy, 2021, vol. 9, no. 1, pp. 13-26. doi: https://doi.org/10.35833/MPCE.2019.000326.
Tang Z., Yang Y., Blaabjerg F. An Interlinking Converter for Renewable Energy Integration Into Hybrid Grids. IEEE Transactions on Power Electronics, 2021, vol. 36, no. 3, pp. 2499-2504. doi: https://doi.org/10.1109/TPEL.2020.3018585.
Marinescu B., Gomis-Bellmunt O., Dorfler F., Schulte H., Sigrist L. Dynamic Virtual Power Plant: A New Concept for Grid Integration of Renewable Energy Sources. IEEE Access, 2022, vol. 10, pp. 104980-104995. doi: https://doi.org/10.1109/ACCESS.2022.3205731.
Wen Y., Lu Y., Gou J., Liu F., Tang Q., Wang R. Robust Transmission Expansion Planning of Ultrahigh-Voltage AC–DC Hybrid Grids. IEEE Transactions on Industry Applications, 2022, vol. 58, no. 3, pp. 3294-3302. doi: https://doi.org/10.1109/TIA.2022.3160147.
Sekhar K.S.R., Chaudhari M.A., Khadkikar V. Enhanced Hybrid Converter Topology for PV-Grid-EV Integration. IEEE Transactions on Energy Conversion, 2023, vol. 38, no. 4, pp. 2634-2646. doi: https://doi.org/10.1109/TEC.2023.3287890.
Yang R., Shi G., Zhang C., Li G., Cai X. Internal Energy Based Grid-Forming Control for MMC-HVDC Systems With Wind Farm Integration. IEEE Transactions on Industry Applications, 2023, vol. 59, no. 1, pp. 503-512. doi: https://doi.org/10.1109/TIA.2022.3205569.
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Copyright (c) 2024 S. Muthukaruppasamy, R. Dharmaprakash, S. Sendilkumar, E. Parimalasundar
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