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Received:May 12, 2015 Revised:June 23, 2015
Received:May 12, 2015 Revised:June 23, 2015
中文摘要: 随着光伏产业的迅速发展,光伏发电已成为可再生能源的生力军.然而,光伏系统的发电功率受不同天气状况的影响,具有不确定性和周期性等特点.为准确预测光伏发电功率保证电网的稳定性,本文采用GA-BP(Genetic Algorithm-Back Propagation)算法对光伏系统发电功率进行预测分析,结果表明,本文提出的模型和方法可以较为准确的预测光伏系统的输出功率,具有一定的实用价值.
Abstract:With the rapid development of photovoltaic industry, photovoltaic power generation has become a new force of renewable energy. However, the influence of power photovoltaic system subjects to different weather conditions and has the characteristics of uncertainty and periodicity. For accurate prediction of photovoltaic power to ensure the stability of power system, this paper uses GA-BP algorithm for prediction and analysis of power generation of photovoltaic system. Results show that the model and method presented in this paper can predict the power output of photovoltaic system and are of more accuracy and certain practical value.
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王振旗,姚晓斌.基于GA-BP算法的光伏系统发电功率预测.计算机系统应用,2016,25(2):227-230
WANG Zhen-Qi,YAO Xiao-Bin.Generation Power Forecasting for Photovoltaic System Based on GA-BP.COMPUTER SYSTEMS APPLICATIONS,2016,25(2):227-230
王振旗,姚晓斌.基于GA-BP算法的光伏系统发电功率预测.计算机系统应用,2016,25(2):227-230
WANG Zhen-Qi,YAO Xiao-Bin.Generation Power Forecasting for Photovoltaic System Based on GA-BP.COMPUTER SYSTEMS APPLICATIONS,2016,25(2):227-230

