Distribution Network Optimal Planning Based On An Immunodominance Algorithm

According to the characteristics of distribution network,this paper proposed a novel artificial immune algorithm for reconfigure distribution network planing with the cost of demand loss minimization.Distribution network optimization in the planning process,immunodominance algorithm and a coding of tree are used to improve the efficiency of the algorithm and largely decrease the evolution algebra which the optimization needs,Simultaneously maintain the diversity of the population and prevent the optimization from prematurity,the example result indicates the speed of this algorithm has largely enhanced compared to the normal genetic and immune algorithm.