电力系统及其自动化学报2024，Vol.36Issue(4)：68-75,8.DOI:10.19635/j.cnki.csu-epsa.001287
基于改进粒子群算法的阻尼惯量自适应控制策略
Adaptive Control Strategy of Damping Inertia Based on Improved Particle Swarm Optimization Algorithm
摘要
Abstract
To address the problems in the traditional virtual synchronous generator control strategy such as a long tran-sient regulation time and a poor stability,an adaptive control strategy of damping inertia based on the improved particle swarm optimization(PSO)algorithm is proposed by analyzing the system's power angle characteristics after perturba-tion.The improved PSO algorithm is used to select the initial values of the control strategy,and the selection principle for key parameters and the corresponding specific ranges are given.Finally,through a comparison with the existing con-trol strategy,the impact of different values of inertia and damping on the system is analyzed,and the superiority of the control strategy is verified.Results show that this strategy can effectively improve the system stability and dynamic re-sponse performance.关键词
虚拟同步发电机/虚拟惯量/阻尼系数/自适应控制/粒子群优化算法Key words
virtual synchronous generator/virtual inertia/damping coefficient/adaptive control/particle swarm opti-mization(PSO)algorithm分类
信息技术与安全科学引用本文复制引用
卢盛阳,朱钰,陈涛,王同,王宁,吴蒙..基于改进粒子群算法的阻尼惯量自适应控制策略[J].电力系统及其自动化学报,2024,36(4):68-75,8.基金项目
国网辽宁省电力有限公司"揭榜挂帅"科技攻关项目(2021YF-82) （2021YF-82）
