A dynamic general type-2 fuzzy system with optimized secondary membership for online frequency regulation

Ardashir Mohammadzadeh; Mohammad Hosein Sabzalian; Ali Ahmadian; Narjes Nabipour

doi:10.1016/j.isatra.2020.12.008

A dynamic general type-2 fuzzy system with optimized secondary membership for online frequency regulation

ISA Trans. 2021 Jun:112:150-160. doi: 10.1016/j.isatra.2020.12.008. Epub 2020 Dec 7.

Authors

Ardashir Mohammadzadeh¹, Mohammad Hosein Sabzalian², Ali Ahmadian³, Narjes Nabipour⁴

Affiliations

¹ Electrical Engineering Department, University of Bonab, Bonab, Iran. Electronic address: a.mzadeh@ubonab.ac.ir.
² Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, PR China. Electronic address: mohammadhosein@sjtu.edu.cn.
³ Electrical Engineering Department, University of Bonab, Bonab, Iran. Electronic address: a.ahmadian@ubonab.ac.ir.
⁴ Institute of Research and Development, Duy Tan University, Da Nang 550000, Viet Nam. Electronic address: narjesnabipour@duytan.edu.vn.

PMID: 33308862
DOI: 10.1016/j.isatra.2020.12.008

Abstract

This study suggests a new control system for frequency regulation in AC microgrids. Unlike to the most studies, challenging conditions such as variation of wind speed, multiple load disturbance, unknown dynamics and variable solar radiation are taken to account. To cope with uncertainties, a novel dynamic general type-2 (GT2) fuzzy logic system (FLS) by an optimized secondary membership is suggested. The secondary membership and rule parameters of dynamic GT2-FLS are online tuned through the adaptive optimization rules. The optimization rules are determined such that the robustness and stability to be guaranteed. Also, a new compensator is presented to tackle with estimation error and perturbations. The simulations verify that schemed controller outperforms than conventional methods.

Keywords: AC microgrids; Frequency regulation; Fuzzy systems; Learning methods; Machine learning.