基于自适应免疫克隆选择算法的配电网重构

在处理配电网重构的算法中,免疫算法具有鲁棒性较强、信息处理能力较强、收敛速度快等特点。对免疫算法(基本算法)的免疫补充环节和自适应调节抗体种群的记忆单元规模、克隆倍数以及变异率进行了改进,以维持抗体种群的多样性,从而提高了算法的收敛性。对两个算例进行重构的仿真结果表明,所提出的基于自适应免疫克隆选择算法在收敛速度及结果上均优于基本算法,其有效性及实用性得到了验证。

Distribution Network Reconfiguration Based on Self-Adapting Immune Clone Selection Algorithm

In dealing with network reconfiguration algorithm, immune algorithm has the characteristics of strong robustness, information processing ability, convergence rate and so on. In order to maintain the diversity of antibody population, the immune complement part of the immune algorithm (basic algorithm) and adaptive immune antibody population size of the memory unit, the number of multiple clones and mutation rate has been improved.Thereby increasing the convergence of the algorithm. Simulation results of reconstruction of two examples show that the convergence rate and results by using the proposed algorithm based on adaptive immune clonal selection is superior to the basic algorithm, and its validity and usefulness has been verified.