基于免疫优势算法的配电网重构

An Artificial Immunodominance Algorithm to Distribution Network Reconfiguration

提出了一种新的免疫算法用于配电网重构,以减小网损。在种群初始化时,对个体进行接种疫苗,通过修改各个体的某些基因位上的基因,使得可行解的比例变大。对不可行解采用启发式的方法,通过打开回路和连通孤岛,将其修复成为可行解。重构优化过程中,免疫优势算法和信息熵的采用,提高了算法的效率和大大减少了优化所需的的进化代数,同时能有效维持群体的多样性和避免算法早熟收敛,算例结果表明该算法的计算速度比常规遗传算法的计算速度有较大的提高。

A novel artificial immune algorithm is proposed to reconfigure distribution network with loss minimization. When the population is initialized, vaccinations are applied to modify some genes of every individual＇s locuses. So the proportion of feasible solutions is increased comparing to random initialization. Infeasible solutions are corrected by a heuristic rule of opening up the loops and connecting the islands. Furthermore, immunodominance algorithm and information entropy are used to improve the efficiency of the algorithm and largely decrease the evolution algebra which the optimiza- tion needs, Simultaneously maintain the diversity of the population and prevent the optimization from prematurity, the example resuh indicates the speed of this algorithm has largely enhanced compared to the normal genetic algorithm.