A Grey Wolf Optimizer algorithm based fuzzy logic power system stabilizer for single machine infinite bus system

被引：7
|
作者：
Sun, Zhe [1 ]
Cao, Yiyi [1 ]
Wen, Zhi [1 ]
Song, Yan [1 ]
Sun, Zhixin [1 ]
机构：
[1] Nanjing Univ Posts & Telecommun, State Posts Bur Internet Things Technol, Engn Res Ctr Post Big Data Technol & Applicat Jia, Res & Dev Ctr Post Ind Technol, Nanjing, Peoples R China
来源：
ENERGY REPORTS | 2023年 / 9卷
关键词：
Power system stabilizer; GWO algorithm; Parameter configuration; Fuzzy logic; SMIB system; LOW-FREQUENCY OSCILLATIONS; DESIGN;
D O I：
10.1016/j.egyr.2023.04.365
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Low-frequency power oscillations in power systems have always been a serious risk for a stable power system. A fuzzy logic power system stabilizer (FLPSS) is proposed to mitigate system oscillation problems. Aimed at parameter configuration and rule setting of FLPSS, Grey Wolf Optimizer (GWO) based FLPSS is utilized to achieve quicker settling time and improve the damping oscillation effectiveness. Comparative studies between the proposed GWO-based FLPSS and conventional stabilizers are performed on a single-machine infinite bus system(SMIBS). The simulation results demonstrate the GWO-based FLPSS can better dampen out low-frequency oscillations and maintain the electricity network stability. (c) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under theCCBY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码：847 / 853
页数：7
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