基于信息畸变修正和粒子群算法融合的配电网故障定位

Distribution Network Fault Location Based on Information Distortion Correction and PSO

针对馈线终端单元(FTU)上传节点状态信息易发生畸变而造成误判的问题,引入一种故障信息修正的概念。先将修正方法进行分类,并用其对FTU上传的故障信息进行校正。算例仿真表明,利用粒子群算法对修正后的故障状态信息进行迭代求解,能够对配电网单故障、多故障快速定位,且修正后的故障信息相较于未修正的故障信息定位准确率更高、耗时更少。

Aiming at the problem that the feeder terminal unit(FTU)upload node status information is prone to distortion and cause misjudgment,a concept of fault information correction is introduced.The correction method is first classified and used to correct the fault information uploaded by the FTU.The simulation results show that the particle swarm optimization algorithm can solve the modified fault state information iteratively,which can locate the single fault and multiple faults of the distribution network quickly,and the corrected fault information which has higher rates and less time is more accurate than the uncorrected fault information.