Research on Distribution Network "Low Voltage" Prediction Based on BP Neural Network

4th International Conference on Advances in Energy Resources and Environment Engineering

能源学;生态环境科学

Wang, Wenbin^1 ; Wang, Yongyue^2 ; Fan, Ruixiang^1 ; Li, Qiong^1 ; Cao, Bei^1

Distribution Network Technology Center, State Grid Jiangxi Electric Power Co. Ltd., Electric Power Research Institute, Nanchang, Jiangxi Province

330096, China^1

School of Information Engineering, Nanchang University, Nanchang, Jiangxi Province

330096, China^2

关键词: Accurate prediction;    BP neural networks;    Limited data;    Low voltage distribution network;    Monitoring system;    Prediction methods;    Prediction-based;    Voltage prediction;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/237/6/062014/pdf
DOI  :  10.1088/1755-1315/237/6/062014

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

In order to solve the problem that the power consumption data of low-voltage users in the distribution network is difficult to obtain, under the premise of using the existing monitoring system to allocate limited data such as outlet voltage and power, the voltage prediction model of low-voltage distribution network is established, and a BP neural network based on BP neural network is proposed. The "low voltage" prediction method of distribution network realizes the "low voltage" prediction of low voltage users in distribution network, and provides an effective and accurate prediction method for "low voltage" management of distribution network.