Research on power quality prediction of fluctuating load. Issue 6 (March 2020)

• Record Type: Journal Article
• Authors: Sun, Xuri; Li, Yanzhen; Shen, Pengfei
• Is Part Of: IOP conference series. Volume 768:Issue 6(2020)
• Publication Date: 2020-03
• Subjects: Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/768/6/062013
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: With the development of intelligent distribution network, power quality prediction is becoming more and more important. In this paper, the power quality prediction methods are studied and applied to a power grid. Firstly, on the basis of time series research, two mathematical models of ARIMA and BP neural network are derived and analyzed, and the corresponding power quality data prediction models are established. Then, the two models are applied to two datasets of different sizes to test and analyze their predictive effects. Based on the analysis and comparison of the prediction results, the improvement direction to further improve the prediction accuracy of the method is proposed.