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电力系统多目标无功优化研究
引用本文:王云,张伏生,陈建斌,段光辉.电力系统多目标无功优化研究[J].西安交通大学学报,2008,42(2):213-217.
作者姓名:王云  张伏生  陈建斌  段光辉
作者单位:西安交通大学电气工程学院,710049,西安
摘    要:在传统无功优化模型的基础上,引入了静态电压稳定性指标,建立了综合考虑系统有功网损最小、静态电压稳定裕度最大和电压水平最好的多目标无功优化模型.基于Pareto最优概念的改进多目标粒子群算法应用到多目标无功优化的求解中,对IEEE30节点统进行了仿真计算.优化结果表明,该模型在实现系统经济运行的同时也增强了电网的电压稳定同时求得的一组最优解能够为优化方法的决策提供更多的有效参考,具有实际意义.

关 键 词:无功优化  粒子群算法  多目标优化  电力系统  多目标无功优化  优化研究  Power  System  Optimization  意义  有效参  决策  优化方法  最优解  静态电压稳定裕度  电网  增强  系统经济运行  模型  优化结果  仿真计算  节点  求解  应用
文章编号:0253-987X(2008)02-0213-05
收稿时间:2007-06-26
修稿时间:2007年6月26日

Multiobjective Reactive Power Optimization in Power System
WANG Yun,ZHANG Fusheng,CHEN Jianbin,DUAN Guanghui.Multiobjective Reactive Power Optimization in Power System[J].Journal of Xi'an Jiaotong University,2008,42(2):213-217.
Authors:WANG Yun  ZHANG Fusheng  CHEN Jianbin  DUAN Guanghui
Abstract:Based on the traditional model of reactive power optimization,index of static voltage stability is introduced and a model of multiobjective reactive power optimization is established,where the active power loss minimization,static voltage stability margin maximization and high voltage quality are taken into account,and improved multiobjective particle swarm optimization algorithm based on Pareto conception is chosen to solve multiobjective reactive power optimization problem for IEEE 30 bus system.The simulated results show that the model is able to heighten power system voltage stability during the economical operation,and validity of the established model and effectiveness of the proposed algorithm are verified.
Keywords:reactive power optimization  particle swarm optimization algorithm  multiobjective optimization
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