基于改进遗传算法在无功优化中的应用  

Reactive Power Optimization of Power System Based on Improved Genetic Algorithm

作　　者：蒋慧[1] 张国友[1] 汪雪娇 

机构地区：[1]安徽工程科技学院

出　　处：《电子技术（上海）》2009年第2期36-37,共2页Electronic Technology

摘　　要：遗传算法是一种基于自然选择和遗传机制的搜索算法,适合于求解电力系统无功优化问题。对基本遗传算法进行改进,建立了以有功网损为目标函数的电力系统无功优化计算的数学模型。算法对IEEE 14节点系统进行了无功优化计算,结果证明了算法的正确性和有效性。As a kind of search algorithm based on the mechanics of natural selection and genetics, genetic algorithm 15fit for solving reactive Power optimization. This paper improves the basic genetic algorithm establishes the basic mathematical model and the object function of model and based on active power loss .The result demonstrate the validity and efficiency of these algorithms. The proposed approach is applied to the IEEE 14 bus system.

关 键 词：改进遗传算法 无功优化 有功网损 数学模型 

分 类 号：O224[理学—运筹学与控制论] TM714.3[理学—数学]