首页 | 本学科首页   官方微博 | 高级检索  
     

扩展短期负荷预测方法的应用
引用本文:莫维仁,张伯明,孙宏斌,胡子珩,刘顺桂.扩展短期负荷预测方法的应用[J].电网技术,2003,27(5):6-9.
作者姓名:莫维仁  张伯明  孙宏斌  胡子珩  刘顺桂
作者单位:1. 清华大学电机系,北京,100084
2. 广电集团深圳分公司,广东省,深圳市,518001
基金项目:国家自然科学基金资助项目(50107005)
摘    要:扩展短期负荷预测方法利用最新的历史负荷数据,预测当日当前时刻以后若干小时的未知负荷,其预测精度明显高于常规的短期负荷预测。为满足电力市场实时交易对负荷预测的新要求,将这种方法应用于修改历史负荷坏数据和补足当日未知负荷数据,以协助提高短期负荷预测的准确度。文中详细介绍了这两种应用的背景和实现原理,并以实际电力系统的应用结果数据证实了这两种应用方案是有效的和实用的。

关 键 词:电力系统  电网  短期负荷预测  电力市场  数据采集系统
文章编号:1000-3673(2003)05-0006-04
修稿时间:2003年3月20日

APPLICATION OF EXTENDED SHORT-TERM LOAD FORECASTING
MO Wei-ren,ZHANG Bo-ming,SUN Hong-bin,HU Zi-heng,LIU Shun-gui.APPLICATION OF EXTENDED SHORT-TERM LOAD FORECASTING[J].Power System Technology,2003,27(5):6-9.
Authors:MO Wei-ren  ZHANG Bo-ming  SUN Hong-bin  HU Zi-heng  LIU Shun-gui
Affiliation:MO Wei-ren1,ZHANG Bo-ming1,SUN Hong-bin1,HU Zi-heng2,LIU Shun-gui2
Abstract:Using the latest historical load data, the extended short-term load forecasting method can forecast the unknown load during several hours after the current hour in that very day. The forecasting accuracy is much higher than those from conventional short-term load forecasting methods. In order to render improvement of the accuracy of short-term load forecasting, this method is applied to revise the bad data in historical load data record and to complement the unknown load data of that very day. The backgrounds and implementation principles for these two applications are presented in detail and the results of practical examples show that the above mentioned application is effective and practicable.
Keywords:Electricity market  Load forecasting  Extended short-term  Bad data processing
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号