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基于混沌时间序列的负荷预测及其关键问题分析
引用本文:张步涵,刘小华,万建平,刘沛,程时杰.基于混沌时间序列的负荷预测及其关键问题分析[J].电网技术,2004,28(13):32-35,49.
作者姓名:张步涵  刘小华  万建平  刘沛  程时杰
作者单位:华中科技大学电气与电子工程学院,湖北省,武汉市,430074;华中科技大学数学系,湖北省,武汉市,430074
基金项目:高等学校博士学科点专项科研项目,华中科技大学校科研和教改项目
摘    要:通过对混沌时间序列进行分析,找出了运用它进行电力系统负荷预测的关键因素:"取舍规则"、嵌入维数和延时的选取.笔者还建立了一种"取舍规则",并运用它进行了实例分析,结果表明基于该"取舍规则"进行负荷预测的效果良好.

关 键 词:电力系统  负荷预测  取舍规则  混沌时间序列  嵌入维数  延时  Lyapunov指数
文章编号:1000-3673(2004)13-0032-04

LOAD FORECASTING BASED ON CHAOTIC TIME SERIES AND ANALYSIS OF ITS KEY FACTORS
ZHANG Bu-han,LIU Xiao-hua,WAN Jian-ping,LIU Pei,CHENG Shi-jie.LOAD FORECASTING BASED ON CHAOTIC TIME SERIES AND ANALYSIS OF ITS KEY FACTORS[J].Power System Technology,2004,28(13):32-35,49.
Authors:ZHANG Bu-han  LIU Xiao-hua  WAN Jian-ping  LIU Pei  CHENG Shi-jie
Abstract:Through the analysis of chaotic time series, two key factors used in power system load forecasting are found, i.e., the rule of acceptance and rejection and the selection of embedded dimensions and time delay. On this basis another kind of acceptance and rejection is proposed and applied in the analysis of practical examples. The analysis results show that the load forecasting based on the proposed rule of acceptance and rejection is more accurate.
Keywords:Power system  Load forecasting  Rule of acceptance and rejection  Chaotic time series  Embedded dimensions  Time delay  Lyapunov index
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