102 / 2021-10-24 21:12:51
Political Optimizer based Maximum Power Harvesting Technique for Offshore PMSG Systems under Various Operation Conditions
Offshore wind farm,permanent magnetic synchronous generator,MPPT,political optimizer
终稿
Xinyao Zhu / State Grid Jiangsu Electric Power Co., LTD. Research Institute
Zheng Li / State Grid Jiangsu Electric Power Co., LTD. Research Institute
Hongyu Zhou / Huazhong University of Science and Technology
Wei Yao / Huazhong University of Science and Technology
Permanent magnetic synchronous generator (PMSG) plays as one of the major generator types applied in offshore wind farms thanks to its low costs and simple structure. In general, PMSG usually suffers faster and severer time-varying operation condition compared to that of onshore alternatives. As a result, maximum power point tracking (MPPT) for offshore PMSG system becomes a very crucial issue to harvest the possible highest wind energy. Basically, several coupled PI loops are used in PMSG, by which the gain tuning is undertaken through trial-and-error, thus the optimality cannot be guaranteed while significant tuning time is also required. In order to handle this difficulty, this work utilizes a new developed political optimizer to optimally tune these PI gains under two typical cases studies, e.g., (a) step change of wind speed and (b) random wind speed, upon which the highest wind energy is able to be obtained at different wind speeds. Experimental results from Matlab/Simulink validate the reliability and superiority of PO compared against other well-known algorithms including genetic algorithm (GA) and particle swarm optimizer (PSO).

 
重要日期
  • 会议日期

    07月11日

    2023

    08月18日

    2023

  • 11月10日 2021

    初稿截稿日期

  • 12月10日 2021

    注册截止日期

  • 12月11日 2021

    报告提交截止日期

主办单位
IEEE IAS
承办单位
IEEE IAS Student Chapter of Southwest Jiaotong University (SWJTU)
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
IEEE PELS (Power Electronics Society) Student Chapter of HUST
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