基于改进遗传算法的配电网架无功优化规划  

Reactive power optimization planning based on improved genetic algorithm

作　　者：任旭阳 

机构地区：[1]华北水利水电大学电力学院,河南郑州450045

出　　处：《技术与市场》2017年第12期17-19,共3页Technology and Market

摘　　要：提出一种改进的遗传算法应用于配电网网架优化规划的方法。选取发电机端电压、变压器档位和无功补偿容量作为控制变量形成染色体,随机产生包含N个染色体的种群,并且验证染色体对应的具体数值的电力网络潮流计算满足收敛条件,通过改进的遗传算法对该种群运算,产生新的染色体种群,经过一系列循环计算,最后得到使目标函数最优的染色体,将该染色体转化成具体的数值输出。并用一个经典的案例验证了算法的可行性;同时通过和常规遗传算法对比,证明了算法的优越性。The article introduce a improved genetic algorithm about face reactive power optimization. A chromosome is composed of generator voitage、transformer tap position and reactive compensation capacity.,they generated at random a population containing N chromosomes. I verify if the figures satisfy the condition of convergence by load flow calcuiation. The I process data by the improved genetic algorithm to generate a group of chromosomes,after loop computation,I can get the optimal solution. And the improved genetic algorithm is used in classic case. The method is demonstrated to be better by contrasting with genetic algorithm.

关 键 词：改进遗传算法 无功优化 潮流计算 

分 类 号：TM715[电气工程—电力系统及自动化]