摘要
负荷预测是电力系统运行和规划的依据。准确的负荷预测有利于提高电力系统运行的经济性和可靠性。提出了一种基于主成份分析法的电力负荷预测方法,通过对影响电力负荷的相关因素进行主成份分析,可以减少自适应神经模糊推理系统的输入量,从而提高系统预测的效率。算例表明所提出方法是有效和可行的。
Power system load forecasting i s the foundation of power system operation and planning.Accurate load fore-cast ing is advantageous to improve the reliability and economic performance of powe r system.Based upon principal component anal ysis a new method for power syst em load forecasting is put forward.By applying principal component analysis to the rele-vant factors that affect power system load,we can reduce the input variables,simplify the structure of the adaptive neuro-fuzzy in ferenc e system and make the forecasting more efficient.Calculation example shows tha t the method is feasible and ef-fective in the load forecasting.
出处
《电力需求侧管理》
2003年第3期21-24,共4页
Power Demand Side Management
关键词
主成份分析
自适应神经模糊推理系统
负荷预测
pr incipal component analysis
adaptive neuro-fuzzy inference system
load foreca sting
