基于多目标决策协调进化算法的电力系统无功优化  

Reactive Power Optimization of Power System Based on Multi-Objective Decision Concordance Evolutionary Algorithm

作　　者：李圣清[1] 曾黎琳[1] 罗晓东[1] 李永安[1] 何政平[1] 

机构地区：[1]湖南工业大学,湖南株洲412008

出　　处：《低压电器》2013年第4期45-49,共5页Low Voltage Apparatus

基　　金：国家自然科学基金资助项目(51077046);湖南省重点学科建设项目(09JJ6070);湖南省研究生创新基金项目(CX2012B401)

摘　　要：在传统无功优化模型基础上,建立了以系统有功网损、静态电压稳定裕度、电压偏差、无功补偿容量和发电机发电成本的多目标无功优化模型。采用多目标决策协调进化算法对电力系统无功进行优化,将多目标决策协调算法与群体进化理论有机结合起来,在有限的群体内对每个个体按协调算法进行排序,以提高优化方法的有效性。通过Matlab7.0编程对IEEE 30和IEEE 14节点算例系统进行计算。计算结果表明,该方法具有系统网损、电压偏差及无功补偿容量小、发电机发电成本低和系统稳定裕度高的特点。Based on traditional reactive power optimization model, a new mathematic model was built up including the active power loss, voltage deviation, static voltage margin and reactive power compensation capacity. An improved multi-objective concordance evolutionary algorithm was applied to reactive power optimization of power system. The algorithm combines the multi-objective decision-coordination model and group evolution thought organically and sorts each individual in a limited group by coordination model to improve the effectiveness of optimization method. IEEE 30-bus system was used to test the performance of the algorithm by Matlab 7.0, and the results show the method has low power loss, low voltage deviation, low reactive power compensation capacity and high static voltage margin

关 键 词：电力系统 多目标 无功优化 决策协调 进化算法 

分 类 号：TM714.3[电气工程—电力系统及自动化]