基于链式遗传——模拟退火算法的配电网络重构

以网损最小为目标函数,节点电压、网络辐射性和电源容量的限制为约束条件,建立了配电网络重构优化数学模型。针对各种单一算法的局限性,提出了一种基于链式遗传-模拟退火算法。该算法将环境压力映射为待优化问题,进化链（食物链）上每条染色体（个体）则对应问题的一个候选解,通过模拟退火Metropolis取舍准则控制算法搜索最优方案的进程。最后,在IEEE16节点系统上验证了所提方法的有效性。

Distribution Network Reconfiguration Based on Chain Algorithm of Genetic Simulated Annealing Hybrid

The minimum network loss are regarded as objective function,The restrictions to node voltage、radiation of the network and the capacity of power are taken as constraint condition.Network reconfiguration optimization mathematics model have been set up.As the limitations of a single algorithm,the chain algorithm of genetic simulated annealing hybrid is proposed.The algorithm will be pressure on the environment mapping optimization problems,evolutionary chain（food chain） on each chromosome（individual） is a candidate solution corresponds to the problem by simulated annealing metropolis criteria to choose the optimal program control algorithm search process.Finally,the IEEE16 bus system verify the effectiveness of the proposed method.