东北电力大学学报
東北電力大學學報
동북전력대학학보
JOURNAL OF NORTHEAST DIANLI UNIVERSITY
2009年
2期
69-72
,共4页
灰色模型%粒子群%负荷预测
灰色模型%粒子群%負荷預測
회색모형%입자군%부하예측
Grey Model%particle swarm optimization%power load forecasting
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.
在分析灰色GM(1,1)模型跼限性的基礎上,應用粒子群優化算法的非線性全跼尋優能力來求解灰色模型參數值,提齣瞭基于粒子群優化算法的灰色模型,併給齣瞭負荷預測的實例.預測結果錶明基于粒子群優化算法的灰色模型具有較高的預測精度和較廣汎的應用範圍.
재분석회색GM(1,1)모형국한성적기출상,응용입자군우화산법적비선성전국심우능력래구해회색모형삼수치,제출료기우입자군우화산법적회색모형,병급출료부하예측적실례.예측결과표명기우입자군우화산법적회색모형구유교고적예측정도화교엄범적응용범위.
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.