新群体规模自适应遗传算法在配网恢复重构中的应用  

A new genetic algorithm with adaptive population size applied in distribution network recovery reconfiguration

作　　者：张巍[1,2] 孙云莲[1] 胡雯[1] 

机构地区：[1]武汉大学电气工程学院,湖北武汉430072 [2]常德供电公司,湖南常德415000

出　　处：《电力系统保护与控制》2013年第22期111-116,共6页Power System Protection and Control

基　　金：福建省智能配网支撑系统研究项目资助(220618);中央高校基本科研业务费专项资金资助项目(201120702020005)

摘　　要：从群体规模和和遗传算子的角度,提出了新群体规模自适应遗传算法,用以解决配电网恢复重构问题。将群体中个体赋予年龄和寿命来代替选择算子,采用宏观调控法对群体规模易出现快速"膨胀"问题进行改善,并结合配电网开环运行特点,采用基于环路策略的遗传操作来减少不可行解。运用与群体规模自适应的交叉率和变异率,能有效地从全局和局部角度提高算法的效率,使算法快速稳定收敛到全局最优解。通过算例验证了该算法在配电网恢复重构运用中的高效性和稳定性。From the point of view of the improved population size and genetic operator, a new genetic algorithm with adaptive population size is proposed in order to solve distribution network recovery reconfiguration problem. It gives the individuals in the group with age and life-time instead of selection operator and uses the strategy based on loop to reduce the generation of infeasible solution. Macro-control is used to solve the expansion problem of the population size. This paper adopts self-adapting crossover and mutation rate to improve the efficiency of the algorithm from the global and local perspective. It is proved an effective and stable algorithm according to an example in the distribution network recovery reconfiguration.

关 键 词：配电网 恢复重构 寿命 群体规模自适应 宏观调控 环路策略 费用 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TM73[自动化与计算机技术—控制科学与工程]