采用改进免疫算法的多目标配电网重构

Distribution Network Reconfiguration With Multi-Objective Based on Improved Immune Algorithm

建立了网损最小、负荷均衡度最小及静态电压稳定裕度最大的多目标配电网重构优化模型。应用免疫算法进行模型求解,略去了交叉操作,利用可行解排序确定抗体综合亲和度,并根据综合亲和度自适应调整可行解变异率,利用自适应变异及疫苗接种操作保证了抗体的多样性,提高了可行解比例,保证了算法向全局最优解收敛。算例结果验证了该方法的有效性。

Taking least network loss, minimum load blancing degree and maximum marging of static voltage stability as objectives, an optimal multi-objective reconfiguration model of distribution network is built. Solving the proposed model by immune algorithm while the interlace operation is omitted, the individual affinity and the comprehensive affinity of antibody are determined by the sequencing of feasible solutions and the mutation rate of feasible solutions is adaptively adjusted according to the comprehensive affinity. Utilizing adaptive mutation and the operation of vaccine inoculation the diversity of antibody can be ensured, thus the proportion of feasible solution is increased to ensure that the algorithm converges towards global optimal soluiton. Results of case calculation show that the proposed method is effective.