基于飞蛾扑火优化算法的多运行方式电力系统稳定器参数协调优化方法  

Multi-operation Mode PSS Parameter Coordination Optimization Method Based on Moth-flame OptimizationAlgorithm

作　　者：潘晓杰 张立伟 张文朝 徐友平 边宏宇 王新军 PAN Xiaojie;ZHANG Liwei;ZHANG Wenchao;XU Youping;BIAN Hongyu;WANG Xinjun(Central China Branch of State Grid Corporation of China,Wuhan 430077,Hubei Province,China;Beijing Kedong Electric Power Control System Corporation Limited,Haidian District,Beijing 100192,China;School of Electrical and Electronic Engineering,North China Electric Power University,Baoding 071003,Hebei Province,China)

机构地区：[1]国家电网公司华中分部,湖北省武汉市430077 [2]北京科东电力控制系统有限责任公司,北京市海淀区100192 [3]华北电力大学电气与电子工程学院,河北省保定市071003

出　　处：《电网技术》2020年第8期3038-3046,共9页Power System Technology

摘　　要：针对大电网低频振荡现象存在机理分析复杂、振荡模式多样、参与机组众多、传统电力系统稳定器(power system stabilizer,PSS)整定方法适应性较差的问题,提出了一种基于飞蛾扑火优化(moth-flame optimization,MFO)算法的多运行方式PSS参数协调优化方法。该方法首先基于主导振荡模式及动态响应因子提取主要参与机组;然后考虑PSS临界增益及相频特性补偿范围约束,以PSS参数鲁棒性及系统动态稳定性为目标函数;最后采用MATLAB与PSD-BPA联合仿真方法,建立基于MFO算法的多运行方式PSS参数协调优化算法,完成大电网的全局参数寻优。华中电网仿真算例结果表明,应用文中方法优化后的PSS参数可有效提高系统动态稳定性,且对多种运行方式均有较好的适应性,同时算法本身具有较强的收敛性。When alow frequency oscillation occurs in the actual power system,thereproduces diverse oscillation modes. Numerous generator groups were participated. The analysis of low frequency oscillation is normally complex.Considering the poor adaptability of traditional PSS tuning method in damping low frequency oscillations, this paper proposed a multi-operation PSS parameter coordination optimization method based on the moth-flame optimization(MFO) algorithm. Firstly,the main participating units were extracted based on the dominant oscillation mode and dynamic response factors. Secondly, PSS parameter robustness and system dynamic stability were taken as objective function within the constraint ofthe PSS critical gain and phase frequency characteristic compensation range. Finally, ajoint simulation method of MATLAB and PSD-BPA wasused to establish a multi-operation PSS parameter coordination optimizationmethod based on MFOalgorithm, thus to complete the global parameter optimization of a large power grid. The result of simulation in central china power grid shows that the optimized PSS parameters have good adaptability to various system operating modes, thus improves the dynamic stability of the power system. The strong convergence of the MFO algorithm isalso proved by the simulation results.

关 键 词：动态稳定 电力系统稳定器 飞蛾扑火优化算法 联合仿真 

分 类 号：TM721[电气工程—电力系统及自动化]