基于小波分解的短期电力负荷智能预测

Power Load Intelligent Prediction based on Wavelet Decomposition

电力负荷的准确预测可以提高电力系统的经济效益和社会效益,有利于降低发电成本。电力负荷预测已经成为实现电力系统管理和智能电网发展的重要内容。本文采用一种小波分解方法及BP网络对短期电力负荷进行预测,并与传统BP网络预测比较。仿真实验表明,本文方法比传统BP网络预测结果更准确。

Accurate prediction of power load can improve the economic and social benefit of power system, which is beneficial to re-duce the cost of power generation. Power load forecasting has become an important content of power system management and smartgrid development. In this paper, a wavelet decomposition method and BP network are used to predict the short-term power load andcompare with the traditional BP network prediction. The simulation results show that the method is more accurate than the tradition-al BP network prediction.