摘要
针对传统PSS参数设计问题,文中基于细菌觅食-微粒群混合优化算法,提出一种协调优化PSS参数的新方法。为了提高电力系统机电振荡模式的阻尼和增加系统的鲁棒性,将阻尼控制器参数设计问题归结为带有不等式约束的目标优化问题,并在目标函数中考虑了多种运行方式,采用细菌觅食-微粒群混合优化算法求解优化问题设计PSS参数。最后通过算例验证了该方法的合理性,是一种对多种运行方式具有良好鲁棒性的阻尼控制器参数优化方法,有效地抑制了低频振荡。
In order to solve the parameter optimization problem of traditional PSS,a novel design method was proposed based on synergy of bacterial forging and particle swarm optimization algorithm,which combines both algorithms＇advantages in order to get better optimization values.A coordinate optimization index based on multi-objects and multiple operation conditions were presented to improve the damping ratios of electromechanical modes and increase the robustness of power system.Case study show the proposed method is verified to be reasonable,and effectively inhibited the low-frequency oscillations.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2010年第6期28-31,共4页
Proceedings of the CSU-EPSA
基金
国家自然科学基金资助项目(50807009)
关键词
低频振荡
电力系统稳定器
细菌觅食优化
微粒群优化
low-frequency oscillation
power system stabilizer（PSS）
bacterial foraging optimize（BFO）
particle swarm optimize（PSO）
