Political Optimizer based Maximum Power Harvesting Technique for Offshore PMSG Systems under Various Operation Conditions 2nd China International Youth Conference on Electrical Engineering CIYCEE 2021

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Political Optimizer based Maximum Power Harvesting Technique for Offshore PMSG Systems under Various Operation Conditions

编号：34 访问权限：仅限参会人更新：2021-12-03 10:31:06 浏览：616次口头报告

报告开始：2021年12月15日 16:30（Asia/Shanghai）

报告时间：15min

所在会场：[A] Renewable energy system [A2] Session 7

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摘要

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).

关键词

Offshore wind farm,permanent magnetic synchronous generator,MPPT,political optimizer

报告人

Hongyu Zhou

Huazhong University of Science and Technology

稿件作者

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

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重要日期

会议日期

07月11日

2023

至

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