基于蚁群算法的配电网故障定位系统研究

Fault location system of distribution network based on ant colony algorithm

为准确快速定位故障,实现故障分支快速隔离避免故障进一步扩大,构建了基于蚁群寻优算法的配电网故障定位系统。通过采集配电网实时运行电气特征数据,经Agent监控单元的F检验显著性概率值P分析,结合蚁群寻优距离值测算,可实现对故障区域和元件的准确定位。以IEEE9三机九节点配电系统为例进行仿真测试,结果表明蚁群寻优算法具有良好正反馈和并行运算能力,定位系统能准确判断故障位置,为配电网故障快速排查及解除决策提供详细数据支撑。

In order to locate fault accurately and quickly and realize fault branch isolation quickly and avoid fault expansion further,a fault location system of distribution network based on ant colony optimization algorithm is constructed. By collecting the real-time running electrical characteristic data of the distribution network,analyzing the significance probability value P of the F test of the Agent monitoring unit,and combining with the ant colony optimization distance value calculation,the accurate location of the fault area and components can be realized. Using IEEE9 three-machine nine-node power distribution system as an example for simulation test,the results show that the ant colony optimization algorithm has good positive feedback and parallel computing ability. The results show that the ant colony optimization algorithm has good positive feedback and parallel computing ability,and the positioning system can accurately judge the fault location,providing detailed data support for the quick troubleshooting and decision lifting of distribution network faults.