Load frequency control of power system based on improved AFSA-PSO event-triggering scheme

Frontiers in Energy Research

Energy Research

Tenghao Huang¹  Xinxin Lv² 

[1] School of Information Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, China;null;

关键词: event-triggered scheme;    LFC systems;    particle swarm optimization;    artificial fish swarm algorithm;    IEEE-39 node simulation models;   

DOI  :  10.3389/fenrg.2023.1235467

 received in 2023-06-06, accepted in 2023-07-19,  发布年份 2023

来源: Frontiers

【 摘 要 】

Aiming at the impact of redundant information transmission on network resource utilization in current power systems, an improved event-triggered scheme based on particle swarm optimization and artificial fish swarm algorithm for power system load frequency control (LFC) with renewable energy is proposed. First of all, to keep the stability and security of power systems with renewable energy, the load frequency control scheme is investigated in this paper. Then, to relieve the communication burden and increase network utilization, an improved event-triggered scheme based on the particle swarm algorithm and artificial fish swarm algorithm is explored for the power system load frequency control. Then, by utilizing improved Lyapunov functional and the linear matrix inequality method, sufficient condition for the H∞ stability of the load frequency control system is established. Finally, a two-area load frequency control system and IEEE-39 node simulation models are constructed to verify the effectiveness and applicability of the proposed method.

【 授权许可】

Unknown   
Copyright © 2023 Huang and Lv.