• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2014, Vol. 35 ›› Issue (3): 54-58.doi: 10.3969/j.issn.1000-7229.2014.03.010

• 电力规划 • 上一篇    下一篇

电网短期负荷预测的BP-ANN方法及应用

张刚,刘福潮,王维洲,李正远,郑晶晶,梁雅芳   

  1. 国网甘肃省电力公司电力科学研究院,兰州市730050
  • 出版日期:2014-03-01
  • 作者简介:张刚(1984),男,博士后,主要从事电网规划与节能研究工作,E-mail:zhanggang3463003@163.com; 刘福潮(1960),男,博士,高级工程师,主要从事电力节能研究工作,E-mail:liufc8127@sina.com; 王维洲(1967),男,博士,教授级高级工程师,主要从事电力节能研究工作,E-mail:wangwz@gs.sgcc.com.cn; 李正远(1958),男,高级工程师,主要从事电网调度研究工作,E-mail:lizhy3517@126.com; 郑晶晶(1981),女,工程师,主要从事电网节能工作研究,E-mail:jingjing110@163.com; 梁雅芳(1974),女,工程师,主要从事电网节能工作研究,E-mail:bylyf@163.com
  • 基金资助:

    国家电网公司科技项目(5227221303A0;5227221302A2)

BP-ANN Method for Power Grid Short-Term Load Forecasting and Its Application

ZHANG Gang, LIU Fuchao, WANG Weizhou, LI Zhengyuan, ZHENG Jingjing, LIANG Yafang   

  1. Gansu Electric Power Research Institute, Lanzhou 730050, China
  • Online:2014-03-01

摘要:

针对电网短期负荷预测中传统方法预测精度较低的问题,提出一种基于 反向传播人工神经网络(back-propagation artificial neural network, BP-ANN)短期负荷预测的方法。应用多尺度熵法对短期负荷数据进行分析,得出预测点不仅和前期临近数据相关,而且和远期历史负荷数据相关;同时运用自相关分析法,基于BP-ANN建立适合陕西电网的短期负荷预测方法,并将此方法应用于实际电网负荷中,结果表明此方法简单可行,精度较高,比较实用。

关键词: 电网, 短期负荷预测, 基于反向传播人工神经网络(BP-ANN), 多尺度熵

Abstract:

Aimed at the problem of low accuracy of traditional method for power system short-term load forecast, this paper presents a method for short-term load forecasting based on   BP-ANN(back-propagation artificial neural network). The multiscale entropy method was used to analyze the short-term load data, whose results showed that the forecast points were related to both the prophase adjacent data and the periodical long-term historical load data. Meanwhile, with using autocorrelation analysis method, the suitable method for short-term load forecasting of Shaanxi power grid was presented based on BP-ANN, and applied in practical power system load. The results have shown that this method is simple, feasible, more practical, and with high precision.

Key words: power grid, short-term load forecasting, BP-ANN, multiscale entropy