基于辅助问题和遗传算法的电网分区并行无功优化的研究  

Distributed Parallel Reactive Power Optimization ResearchBased on Auxiliary Problem Principle and Genetic Algorithm

作　　者：魏鹏[1] 李晨[2] 

机构地区：[1]三峡大学电气信息学院,湖北宜昌443002 [2]洛阳工业高等专科学校,河南洛阳471039

出　　处：《江苏电机工程》2007年第2期23-26,共4页Jiangsu Electrical Engineering

摘　　要：针对传统集中式无功优化存在的不足之处,建立起基于电网分区的分解协调模型。采用构造辅助问题(AP)的方法进行分布式并行计算,将互联电网无功优化问题分解为多个子网的并行无功优化问题,在每个子网中,采用遗传算法求解子系统的的优化问题。基于地域的系统分解与协调符合电网市场的发展方向。仿真结果表明该方法具有较强的收敛性和快速性。According to the shortages of the traditional centralized reactive power optimization algorithm,the decomposition-coordination model based on sub area division is proposed. The distributed parallel calculation is done through the constructed auxiliary problem method. The reactive power optimization problem of the whole system can be decomposed into several parallel flow optimizations of sub systems. In several sub area systems,the genetic algorithm is used to solve the reactive optimization problem of the subarea system. The sub area division based optimization meets the needs of power market development .The simulation shows that the algorithm has good rapidity of convergence.

关 键 词：电网分区 分解协调模型 辅助问题原理 遗传算法 无功优化 

分 类 号：TM73[电气工程—电力系统及自动化]