Open Access

ARTICLE

Enhanced Atom Search Optimization Based Optimal Control Parameter Tunning of PMSG for MPPT

Xin He¹, Ping Wei², Xiaoyan Gong¹, Xiangfei Meng³, Dong Shan⁴, Jiawei Zhu^5,*

1 Yunnan Power Grid Co., Ltd., Education and Training Evaluation Center, Kunming, 650041, China
2 Yunnan Power Grid Co., Ltd., Kunming, 650041, China
3 Yunan Dianzhong Huineng Intelligent Energy Co., Ltd., Kunming, 650041, China
4 Zhengzhou Wante Electric Co., Ltd., Zhengzhou, 450500, China
5 Chang’an University, Xi’an, 710064, China

* Corresponding Author: Jiawei Zhu. Email:

(This article belongs to the Special Issue: Wind Energy Development and Utilization)

Energy Engineering 2022, 119(1), 145-161. https://doi.org/10.32604/EE.2022.015910

Received 22 January 2021; Accepted 11 May 2021; Issue published 22 November 2021

Abstract

For the past few years, wind energy is the most popular non-traditional resource among renewable energy resources and it’s significant to make full use of wind energy to realize a high level of generating power. Moreover, diverse maximum power point tracking (MPPT) methods have been designed for varying speed operation of wind energy conversion system (WECS) applications to obtain optimal power extraction. Hence, a novel and meta-heuristic technique, named enhanced atom search optimization (EASO), is designed for a permanent magnet synchronous generator (PMSG) based WECS, which can be employed to track the maximum power point. One of the most promising benefits of this technique is powerful global search capability that leads to fast response and high-quality optimal solution. Besides, in contrast with other conventional meta-heuristic techniques, EASO is extremely not relying on the original solution, which can avoid sinking into a low-quality local maximum power point (LMPP) by realizing an appropriate trade-off between global exploration and local exploitation. At last, simulations employing two case studies through Matlab/Simulink validate the practicability and effectiveness of the proposed techniques for optimal proportional-integral-derivative (PID) control parameters tuning of PMSG based WECS under a variety of wind conditions.

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Keywords

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