改进遗传算法在电力系统无功优化中的应用  

Application of Improved Genetic Algorithm in Reactive Power Optimization of Power System

作　　者：戴育辉[1] 杨胡萍[1] 张力 

机构地区：[1]南昌大学信息工程学院,江西南昌330029 [2]南昌供电公司,江西南昌330006

出　　处：《江西电力职业技术学院学报》2006年第4期22-24,共3页Journal of Jiangxi Vocational and Technical College of Electricity

摘　　要：将遗传算法用于电力系统无功优化,并对传统遗传算法的编码方式、遗传操作算子、交叉和变异概率以及迭代终止判据等方面进行了改进,同时使用本文的算法对IEEE6及IEEE14节点系统进行了无功优化计算,结果表明改进后的遗传算法合理可行。Genetic algorithm is a iterative method which adapts itself to search of probability based on natural election principle and natural genetic mechanism. It simulates the evolutional and developmental law of life-form. We can use it to solve complicate nonlinear continuous and discrete variables. This paper presents improved genetic algorithm to optimal reactive power. The method improved the mode of coding, genetic operations and termination conditions .The paper presents the proposed approach to the IEEE6 and IEEE14 bus system. The results of calculation shows the improved genetic algorithm is reasonable and feasible.

关 键 词：遗传算法 无功优化 电网损耗 优化数学模型 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构] TM714.3[自动化与计算机技术—计算机科学与技术]