刘爱国,黄泽平,薛云涛,汪硕承.基于遗传算法小波神经网络的光伏微网发电预测[J].电测与仪表,2017,54(7):. LIU AiGuO,HUANG Zeping,XUE Yuntao,WANG Shuocheng.Application for Photovoltaic Power ForecastingUsing Improved Wavelet Neural Networks -based on GA[J].Electrical Measurement & Instrumentation,2017,54(7):.
基于遗传算法小波神经网络的光伏微网发电预测
Application for Photovoltaic Power ForecastingUsing Improved Wavelet Neural Networks -based on GA
It is important for the energy conservation and emissions reduction to accurately predicate the power of Photovoltaic micro-source in a certain period of time in the future. In this paper, by comparing the power and meteorological history data, analyzes the factors such as weather, solar radiation and temperature in the photovoltaic power generation power prediction ,based on the global optimization searching performance of the genetic algorithm and the time-frequency localization of the wavelet neural networks, microgrids photovoltaic power generation forecasting model has been established. Through case analysis, the results show that wavelet neural network based on genetic algorithm has better learning ability and generalization ability. And in the aspect of microgrids photovoltaic power, the forecasting model is more valuable in practical application.
