Fuzzy control strategy of interconnected power grid AGC system based on particle swarm optimization

Abstract

Frequency is one of the key indicators of power quality. The power load is constantly changing and has uncontrollability. The change of load will affect the frequency of the system. The power system always hopes to keep the frequency as constant as possible, which leads to the problem of frequency control. The mechanism modeling of the multi-region interconnected power grid system is carried out, and the frequency response of the networked system is analyzed by building a simulation platform. Aiming at the shortcomings of “AGC controller” using fuzzy PID control, according to the particle swarm optimization algorithm, a fuzzy adaptive PID controller based on particle swarm algorithm is designed. The simulation results show that the fuzzy adaptive PID controller based on particle swarm algorithm can better improve the dynamic performance of the system.