基于免疫算法以负荷均衡为目标函数的配电网络重构方法

Distribution Network Reconfiguration Aiming at Equilibrium of Load by Immune Algorithm

在分析配电网重构的数学模型和免疫算法原理的基础上,提出了一种应用于配电网络重构的免疫算法(ImmuneAlgorithm,IA)。将满足基于负荷均衡的目标函数和约束条件的优化问题对应于免疫算法的抗原,优化问题的解作为免疫算法的抗体,解的优劣则通过亲和力的计算来评价,具有最大亲和力的抗体就是问题的最优解,即网络中联络开关和分段开关的最佳状态。实例分析表明,该算法具有较快的收敛速度和较强的全局搜索能力,克服了传统遗传算法易陷于局部极小和收敛速度慢的缺点。

Immune algorithm applied to distribution network reconfiguration is presented by analyzing mathematical model of distribution reconfiguration and immune algorithm theory in this paper. In the algorithm the equilibrium of load is considered as target function. The optimal problem based on target function and constrained condition is deemed the antigen. The solutions are re- garded as antibodies, which are determined through the calculation of affinity. The antibody having the highest affinity is the optimum solution, namely the optimal state of coupling switch and subsection switch. It has been exampled that this project is of higher constriction speed and stronger global search ability. So the defect of traditional genetic algorithm is overcome.