摘要
根据配电网的特点对遗传算法的适应函数、交叉率和变异率进行了改进,对模拟退火算法中Metropolis判别准则的复制策略进行分析,将网络损耗最小作为目标函数,研究了遗传模拟退火算法在配电网络重构中的应用。对于重构过程中不满足负荷约束条件的个体,构造惩罚函数将其引入到目标函数中。最后通过标准算例验证了本算法的可行性和有效性。
Based on the characteristics of distribution network, improvement on fitness fimction, crossover and mutation of the genetic algorithm is made. The replication strategy of simulated annealing Metropolis criteria is accounted. Taking the minimum loss of distribution network as an objective function, the application of simulated annealing algorithm in distribution network reconfiguration is studied. The individuals that can not meet the load constraint conditions during reconfiguration will be introduced as penalty functions into the objective function. Finally the feasibility and validity of this algorithm is proven via a typical standard example.
出处
《广东输电与变电技术》
2010年第2期10-13,16,共5页
Guangdong Power Transmission Technology
关键词
配电网络重构
网损
遗传模拟退火算法
Distribution network reconfiguration
Loss
Genetic simulated annealing algorithm
