Abstract:
The calculation of distribution network line loss is an important technical measure for the management and analysis of distribution network line loss. In order to solve the problems of traditional distribution network theory, such as unable to realize automatically, heavy workload and inaccurate calculation results, a fast calculation method of line loss in low-voltage substation area based on K-Means clustering and Drosophila algorithm optimization multi classification correlation vector machine (MRVM) is proposed, and an algorithm model is built in Matlab. In order to solve the problem of dispersion of line loss, K-Means clustering algorithm is used to classify the samples. Then, the MRVM optimized by the Drosophila algorithm is trained by using the classified samples, and the mapping relationship between the line loss rate and the platform area parameters is obtained. Finally, 500 samples of a certain area in Sichuan Province are used to verify the results, and the results are compared with the traditional theoretical line loss calculation method. The results show that the proposed method has better accuracy. At the same time, it can improve the automation degree of the current theoretical calculation of line loss, reduce the calculation workload, and improve the operation efficiency of the distribution network of the grid company.