Author(s)

Yanzhen Li, Yinglei Guo, Pengfei Shen, Yifeng Deng, And Kaiqiang Cheng

Corresponding Author

Yanzhen Li

ABSTRACT

With the large-scale use of nonlinear loads in power grid, power quality issues are becoming increasingly prominent. However, the widespread application of sensitive loads has made research on power quality prediction a hot topic. This paper proposes a power quality prediction method based on BP neural network. Firstly, the paper theoretically analyzes the BP neural network, then establishes a power quality prediction model; finally, the MATLAB program was designed and written to be applied to two different data samples to test and analyze the prediction results. The simulation results show that when there are more historical data to train BP neural network, this method has a good predictive effect on power quality indicators.

KEYWORDS

Power Quality, Bp Neural Network, Prediction