基于粒子群算法的MMC-UPFC参数优化  

A PSO Algorithm based Approach for Optimizing MMC-UPFC Control System Parameters

作　　者：林子杰[1] 刘建坤[2] 陈静[2] 张宁宇[2] 孙国强[1] 卫志农[1] 

机构地区：[1]河海大学能源与电气学院,江苏南京211100 [2]江苏省电力公司电力科学研究院,江苏南京211103

出　　处：《江苏电机工程》2015年第6期23-26,共4页Jiangsu Electrical Engineering

摘　　要：作为柔性交流输电(FACTS)中功能最强的设备,统一潮流控制器(UPFC)可以实现对线路传输的有功功率和无功功率独立控制、优化系统潮流分布、提高稳定性。文中在分析现有MMC-UPFC控制策略基础上,以其对指令的跟踪能力作为优化目标,提出一种基于粒子群算法控制参数优化方法。利用Matlab和PSCAD/EMTDC建立某实际电网中MMC-UPFC模型并实现了该优化算法。优化前后MMC-UPFC的仿真结果证明,粒子群算法能有效优化MMC-UPFC的控制参数。As one of the most powerful flexible AC transmission system（FACTS） devices, the unified power flow controller（UPFC） can control the active and reactive power on the transmission line independently, optimize the system power flow distribution as well as improve the system stability. In this paper, the control strategy of the existing MMC-UPFC is analyzed.Based on the analysis, a particle swarm optimization based approach to optimize the control parameters is presented. The proposed approach takes the tracking ability to the reference value as the optimization objective. The MMC-UPFC model of a real system and the optimization algorithm are realized in Matlab and PSCAD/EMTDC. Simulation results show that the proposed approach is effective.

关 键 词：模块化多电平换流器(MMC) UPFC 粒子群算法 参数优化 

分 类 号：TM762[电气工程—电力系统及自动化]