基于粒子群算法的电力系统鲁棒稳定器设计

E. Babaei, S. Galvani, M. A. Jirdehi
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引用次数: 36

摘要

抑制局部模态和区域间振荡是电力系统优化潮流和稳定的两个关键问题。电力系统稳定器(pss)用于抑制这些振荡。传统的PSS设计算法基于经典的控制理论和基于特征值的计算,涉及大量的数学计算,可能无法给出准确的解。本文提出了一种基于粒子群优化的PSS设计方法,该方法既考虑了电力系统的时域响应,又对电力系统的整体可信扰动具有鲁棒性。本文以双区(4机11总线)电力系统为例进行了研究。获取4台PSS连接4台发电机的PSS参数。最后,评估了该算法在整体扰动下抑制系统振荡的有效性。仿真结果说明了这一问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of robust power system stabilizer based on PSO
Damping local mode and inter-area oscillations are two critical issues for optimal power flow and stability in a power system. Power system stabilizers (PSSs) are applied to damp these oscillations. Conventional algorithms of PSS design are based on classical control theory and eigen values based calculation and involve numerous mathematical calculations which may not present an accurate solution. In this paper, a particle swarm optimization (PSO) based PSS design is suggested which is based on time domain response of power system and also is robust for the overall credible disturbances in power system. Two-area (four-machine 11-bus) power system is considered as the case study in this paper. PSS parameters are obtained for four PSS connected to four generators. Finally, the effectiveness of the proposed algorithm is evaluated for damping the system oscillations during overall disturbances. The simulation results illustrate this issue.
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