改进免疫网络及其算法在配电网故障定位中的应用

Application of Improved Immune Network and Its Algorithm in Fault Location of Distribution Network

针对含DG的配电网发生故障情况,提出了一种基于免疫算法的改进算法,加入了免疫记忆细胞信息分化扩增机制,并融合了粒子群算法。改进的算法能够有效避免算法陷入局部最优,可以适应各种复杂情况,大大提高了故障定位的准确率。提出了新的故障定位模型,通过仿真实践表明,运用改进免疫算法的分层定位模型能够有效降低运算数据的维度,显著提高运算效率,同时保证极高的故障定位准确率。

Aiming at the failure of the distribution network with DG,an improved algorithm based on immune algorithm is proposed,which adds the information differentiation and amplification mechanism of immune memory cells,and integrates the particle swarm al⁃gorithm.The improved algorithm can effectively prevent the algorithm from falling into the local optimum,can adapt to various complex situations,and greatly improve the accuracy of fault location.A new fault location model is proposed.Simulation practice shows that the hierarchical location model with improved immune algorithm can effectively reduce the dimension of computing data,significantly im⁃prove computing efficiency,and ensure extremely high fault location accuracy.