湖南大学学报（自然科学版）2018，Vol.45Issue(4)：112-121,10.DOI:10.16339/j.cnki.hdxbzkb.2018.03.015
基于混合粒子群算法的PSS4B参数优化研究
Research on Parameter Optimization of PSS4B Based on Hybrid Particle Swarm Algorithm
摘要
Abstract
According to the structural features of power system stabilizer PSS4B,a hybrid PSO algorithm is applied to PSS4B parameter optimization in this paper.By connecting RTDS analog input/output interface card with NES6100 excitation regulator,the semi-physical simulation system is constituted,and the single machine infi-nite model is established on RTDS real-time digital simulation platform.Based on testing the phase frequency char-acteristic without compensation of generator excitation system and after parameter optimization,PSS4B critical gain experiment,step response test under load,short circuit disturbance test and inverse-regulation effect test are car-ried out in turn.The test results show that the optimized PSS4B can suppress power oscillation well in the different frequency bands,and have good inverse-regulation suppression effect.关键词
电力系统稳定器/PSS4B/参数优化/RTDSKey words
power system stabilizer/PSS4B/parameters optimization/RTDS分类
信息技术与安全科学引用本文复制引用
郭思源,刘海峰,李理,李辉,朱维钧..基于混合粒子群算法的PSS4B参数优化研究[J].湖南大学学报（自然科学版）,2018,45(4):112-121,10.基金项目
国网湖南省电力有限公司科技项目(XDKY-2015-015),Natural Science Foundation of State Grid Hunan Electric Power Company Limited(XDKY-2015-015) （XDKY-2015-015）
