引用本文:王金凤,孙明艳.基于改进遗传算法的配电网优化规划[J].电力自动化设备,2002,(5):64-66
.Optimal planning for distribution system based on improved GA[J].Electric Power Automation Equipment,2002,(5):64-66
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基于改进遗传算法的配电网优化规划
王金凤,孙明艳
作者单位
摘要:
在遗传算法的基础上,引入改进机制,对配电网网架规划进行求解。优化模型中考虑线路投资的时间价值,以年费用最小为目标,以线路传输容量、电压降、配电网的辐射性等为约束条件;以备选网络的生成树作为初始解,避免了随机产生初始可以解时速度较慢的弊端;借鉴支路交换的思想设计杂交算子和变异算子,避免了辐考检查过程,使算法的寻优能力大为增强。算例结果表明:在精度相同的情况下,该方法的计算速度比普通遗传算法有较大提高。
关键词:  遗传算法 配电网 优化规划 支路交换法
DOI:
分类号:TM715
基金项目:
Optimal planning for distribution system based on improved GA
WANG Jin feng 1  YANG Li xi 1  ZANG Rui 1  CHEN Gen yong 1  SUN Ming yan 2
Abstract:
An improved Genetic Algorithm (GA) is introduced to the distribution network optimal planning.The optimal module considers the time value of capital investment,takes the minimum annual cost as its object,and the capacity and voltage drop of feeder and the radiation of distribution network as its restrictions.The spanning tree of the alternative network is taken as the initial solution to speed up the calculation.And the branch exchange method is used in designing crossover operator and mutation operator to avoid the radiation checking and enhance the optimizing ability.The calculation example demonstrates that,with the same precision,the improved GA has higher calculation speed than the traditional GA has.
Key words:  distribution network planning,branch exchange method,improved genetic algorithm

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