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改进遗传模拟退火算法在配电网络重构中的应用
引用本文:刘扬,杨建军,魏立新. 改进遗传模拟退火算法在配电网络重构中的应用[J]. 电力系统及其自动化学报, 2004, 16(5): 39-42,74
作者姓名:刘扬  杨建军  魏立新
作者单位:大庆石油学院,大庆,163318;大庆石油学院,大庆,163318;大庆石油学院,大庆,163318
基金项目:石油科技中青年创新项目,黑龙江省教育厅科学技术研究项目
摘    要:对遗传模拟退火算法中的交叉、变异操作进行了改进,并实施了最优保留策略,形成了改进遗传模拟退火算法.以网损最小为目标函数,以配电网电压降的限制、线路电流量的限制等为约束条件,建立了配电网络重构优化模型.在考虑配电网自身特点的基础上,利用改进遗传模拟退火算法求解.重构算例说明,该优化方法有效、实用.

关 键 词:配电网络  网络重构  遗传算法  模拟退火
文章编号:1003-8930(2004)05-0039-04

Application of the Improved Genetic Simulated Annealing Algorithm in Distribution Network Reconfiguration
LIU Yang,YANG Jian-jun,WEI Li-xin. Application of the Improved Genetic Simulated Annealing Algorithm in Distribution Network Reconfiguration[J]. Proceedings of the CSU-EPSA, 2004, 16(5): 39-42,74
Authors:LIU Yang  YANG Jian-jun  WEI Li-xin
Abstract:In the paper, the crosser and mutation in the genetic simulated annealing algorithm were improved, and the optimized reserved strategy was used to form the improved genetic simulated annealing algorithm. An optimization model of distribution network reconfiguration is established, in which the minimum network loss is taken as objective function, the restrictions to the decline of voltage and current are taken as constraint conditions. Based on the features of distribution network, the improved genetic simulated annealing algorithm is used in network reconfiguration. Reconfiguration results show that the algorithm is efficient and practical.
Keywords:distribution network  network reconfiguration  genetic algorithm  simulated annealing
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