广东电力2018，Vol.31Issue(3)：42-48,7.DOI:10.3969/j.issn.1007-290X.2018.003.008
基于改进BBO算法的PSS参数优化的鲁棒性研究
Research on Robustness of PSS Parameter Optimization Using Improved Biogeography-based Optimization Algorithm
摘要
Abstract
Unreasonable configuration of PSS parameters may cause poor suppression effect of low frequency oscillation,or even damage stability of the power grid.Therefore,this paper firstly builds linear equations of the generator,the excitation system and PSS as well as related objective functions under multiple operating modes and multi-electromechanical oscillation modes so as to optimize corresponding PSS parameters.Secondly,it combines the difference algorithm (DE)and the bioge-ography-based optimization algorithm(BBO)for improving migration operators and variation parts.Finally,in PSASP it es-tablishes part of northwest Yunnan power grid by simulation and verifies effectiveness of the proposed optimized objective functions and improved BBO-DE algorithm. Simulation indicates the optimized PSS parameters have good adaptabilities which can effectively improve damping ratios of the system and adapt to multiple operating modes of Yunnan power grid.关键词
多种运行方式/电力系统稳定器(PSS)/差分进化算法(DE)/生物地理学算法(BBO)/阻尼比Key words
multiple operating modes/PSS/DE/BBO/damping ratio分类
信息技术与安全科学引用本文复制引用
潘志豪,王德林,孙博,张俊武,康积涛,袁优..基于改进BBO算法的PSS参数优化的鲁棒性研究[J].广东电力,2018,31(3):42-48,7.基金项目
国家自然科学基金项目(51477143) （51477143）
