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基于粒子群优化灰色模型的电力系统负荷预测
引用本文:刘洪涛,肖广明,刘俊涛.基于粒子群优化灰色模型的电力系统负荷预测[J].东北电力学院学报,2009,29(2):69-72.
作者姓名:刘洪涛  肖广明  刘俊涛
作者单位:刘洪涛(吉林市热力有限公司,吉林,吉林,132002);肖广明,刘俊涛(牡丹江电业局,黑龙江,牡丹江,157000) 
摘    要:在分析灰色GM(1,1)模型局限性的基础上,应用粒子群优化算法的非线性全局寻优能力来求解灰色模型参数值,提出了基于粒子群优化算法的灰色模型,并给出了负荷预测的实例.预测结果表明基于粒子群优化算法的灰色模型具有较高的预测精度和较广泛的应用范围.

关 键 词:灰色模型  粒子群  负荷预测

Power Load Forecasting Based on Particle Swarm Optimization Grey Model
LIU Hong-tao,XIAO Guang-ming,LIU Jun-tao.Power Load Forecasting Based on Particle Swarm Optimization Grey Model[J].Journal of Northeast China Institute of Electric Power Engineering,2009,29(2):69-72.
Authors:LIU Hong-tao  XIAO Guang-ming  LIU Jun-tao
Affiliation:LIU Hong-tao~1,XIAO Guang-ming~2,LIU Jun-tao~2 (1.Heating Power Limited Corporation of Jinlin City,Jilin,132002,2.Mudanjiang Electric Power Bureau,Mudanjiang,Heilingjiang,157000)
Abstract:According to the analysis of the limitation of the grey model,particle swarm optimization algorithm is adopted in order to solve the parameters value of grey model as it has the virtue of optimum-seeking.Then a particle swarm optimization based on grey model PSOGM is proposed,and practical examples are given.The simulation results indicate that(PSOGM) model gives better precision and has wider application field.
Keywords:Grey Model  particle swarm optimization  power load forecasting
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