Research on Intelligent Diagnosis of Line Loss in DG Substation Areas Based on Coefficient of Variation and Support Vector Machine
The access of distributed power sources changed the power flow in the substation areas and increased the probability of high losses in the substation lines.To identify the causes of high line losses in substation areas,an intelligent diagnosis method for line losses in distributed generation(DG)access substation areas based on coefficient of variation method and support vector machine was proposed.Firstly,the coefficient of variation method was used to perform correlation analysis on the characteristic indicators of DG access stations;secondly,the support vector machine algorithm was used to measure the relative error between line loss prediction data and real data,and the abnormal line loss areas are then screened out;after that,based on the weight of each indicator obtained by the coefficient of variation method,the abnormal station area data was updated to diagnose the cause of high line loss;finally,a case about 25-node station area was used for method validation.The experimental results validate the effectiveness of the proposed method.
distributed generation(DG)line losscharacteristic index system of station areacoefficient of variation methodsupport vector ma-chine
NETL
NSTL
万方数据
