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作者机构:King Saud Univ Fac Engn Elect Engn Dept Riyadh 11421 Saudi Arabia Future Univ Egypt Fac Engn & Technol Elect Engn Dept Cairo Egypt
出 版 物:《INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS》 (Int J Electr Power Energy Syst)
年 卷 期:2021年第125卷
核心收录:
基 金:Deanship ofScientific Research King Saud University
主 题:Adaptive filtering algorithm Control system PI controllers Wind energy
摘 要:This article proposes a novel adaptive control scheme based on proportional-integral (PI) controllers and new adaptive filtering algorithm called the least mean square root of exponential (LMSRE) algorithm. Firstly, the proposed LMSRE algorithm is applied to unknown system identification then it is compared with other benchmarks algorithms such as least mean square (LMS), least mean fourth (LMF), and continuous mixed p-norm (CMPN). Secondly, the LMSRE is applied to self-tune the parameters of the cascaded PI controllers to improve the maximum power point tracking (MPPT) and fault ride-through ability (FRTA) of grid-integrated permanent magnet synchronous generator (PMSG) based wind turbines. Then, the robustness of LMSRE-PI and LMS-PI controllers are tested under real measured wind speed data and severe fault conditions. The simulation results revealed that the LMSRE-PI achieved better dynamic and transient responses than the LMS-PI controllers. With the proposed control scheme, the performance of variable speed wind turbines can be further enhanced.