Distribution Network Line Loss Calculation Method Based on K-Means Clustering and Boosting Algorithm
Due to the large number of electrical parameters required by traditional line loss calculation methods and the cumbersome calculation process,the accuracy of distribution network line loss calculation results is low.A distribution network line loss calculation method based on K-Means clustering and Boosting algorithm is proposed.Firstly,the K-Means clustering algorithm is used to mine the electrical characteristic indicators of the distribution network,such as the active power and reactive power of the line load,the length of the line,and the load rate of the line.Then,the electrical characteristic indicators are used as input data for the Boosting algorithm based line loss prediction model.After model training,the prediction calculation of the distribution network line loss is completed.The experimental results show that the error between the calculated value of line loss under the design method and the actual value is only 4.27%,which has a high accuracy in the calculation of distribution network line loss.
K-Means clusteringBoosting algorithmdistribution network line lossline loss calculation
万方数据
维普
