Fuzzy PID Controller Optimized by Improved Gravitational Search Algorithm for Load Frequency Control in Multi-area Power System.

Autor: Gonggui Chen, Feng Qin, Hongyu Long, Xianjun Zeng, Peng Kang, Jinming Zhang
Předmět:
Zdroj: IAENG International Journal of Computer Science; Mar2022, Vol. 49 Issue 1, p125-139, 15p
Abstrakt: In this paper, an objective function considering performance index and an improved gravitational search algorithm (IGSA) are proposed to optimize the parameters of fuzzy PID (FPID) controller. IGSA is obtained by combining elite strategies and the mining capability of PSO algorithm. The IGSA FPID method which integrates IGSA and FPID controller is tested in a typical two-area non-reheat system, and system responses reflect the advantages of proposed objective function and IGSA. Additionally, the proposed IGSA FPID method still has excellent effects even on the two-area multi-source system with thermal power, hydropower and gas turbines. Meanwhile, the effect of high voltage direct current (HVDC) links in suppressing fluctuations is verified. Due to the popularity of wind power, a novel three-area interconnected power system with nonlinearity connected wind turbine (WT) is designed. Under the control of IGSA FPID, the good stability and dynamic performance of mentioned three-area system are verified. Therefore, FPID controller optimized by IGSA has excellent control effects, stability and universal applicability on the different power systems with multiple area and sources. [ABSTRACT FROM AUTHOR]
Databáze: Supplemental Index