In the process of distribution line live circuit identification,the abnormal condition of the line is not checked,which leads to the error of the identification effect.Firstly,the equivalent circuit structure of distribution network is analyzed,and the value and distribution of zero sequence current are calculated.Then,through the calculation of zero sequence current mutation,the three-phase current balance is detected,and the abnormal current lines and nodes are identified.Finally,depth-first traversal algorithm is used to identify the charged circuit,and particle swarm optimization algorithm is combined to improve the identification efficiency.Experimental results show that the identification accuracy of distribution line live circuit is higher than 90％after the proposed method is adopted.The identification time of the charged circuit of the distribution line is always lower than 15s,which indicates that the proposed method can identify the charged circuit more accurately and improve the calculation efficiency.
关键词
三相不平衡/零序电流突变量/深度优先遍历算法/带电回路识别/粒子群优化算法
Key words
Three phase unbalance/Zero sequence current sudden change/Depth first traversal algorithm/Live circuit identification/Particle swarm optimization algorithm
维普
万方数据