采用特性指标聚类和改进萤火虫算法的配电网动态重构

DYNAMIC RECONFIGURATION OF DISTRIBUTION NETWORKS BASED ON PATTERN INDEX CLUSTERING AND IMPROVED GLOWWORM SWARM OPTIMIZATION ALGORITHM

为更好处理考虑负荷变化的配电网动态重构问题,将一种基于负荷特性指标降维的聚类方法应用于配电网负荷聚类,根据负荷特性相似性进行重构时段的划分,有效解决开关操作次数对实际配电网调度的不良影响。将最小生成树思想与改进的萤火虫算法相结合,以有功网损和负荷均衡指数最小构造目标函数,对负荷聚类后的配电网动态重构问题进行仿真验证。研究结果表明:改进的聚类算法可精确地对配电网负荷进行分类,为配电网重构提供了良好的基础,改进重构算法可快速有效地对配电网进行动态重构。

To deal with the dynamic reconfiguration of distribution network considering load variation,a clustering techniqued based on load pattern index is applied to the load clustering of distribution network,according to the similarity of load pattern,the division of reconfiguration time period is reconstructed,and the effect of switching operation on the actual distribution network scheduling is solved effectively.The minimum spanning tree(MST)method and improvement of the glowworm swarm algorithm are combined in this paper,network loss and load balancing as the objective functions was established,which is applied to the clustering of load distribution network reconfiguration problem.The result shows,the improved clustering algorithm can classify the distribution network load accurately,which provides a good foundation for the distribution network reconfiguration.,the improved algorithm is effective for the dynamic reconfiguration of distribution network.