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基于时序仿真的风电年度计划制定方法

刘纯 曹阳 黄越辉 李鹏 孙勇 袁越

电力系统自动化Issue(11):13-19,7.
电力系统自动化Issue(11):13-19,7.DOI:10.7500/AEPS20130703002

基于时序仿真的风电年度计划制定方法

An Annual Wind Power Planning Method Based on Time Sequential Simulations

刘纯 1曹阳 1黄越辉 2李鹏 1孙勇 1袁越3

作者信息

  • 1. 中国电力科学研究院,北京市 100192
  • 2. 河海大学能源与电气学院,江苏省南京市 210098
  • 3. 国网吉林省电力有限公司,吉林省长春市 130021
  • 折叠

摘要

Abstract

China”s wind power industry has developed rapidly these years.Because of the limited peak demand regulation capability of the power systems in Northeast,North and Northwest China,the curtailment of wind power has been serious.If we only consider the prediction of wind power,the existing annual wind power plan differs from the real situation after wind curtailment and as such it is difficult to do wind power planning.Considering wind power output characteristics,load characteristics,transmission capacity and some other factors,an annual wind power planning method based on time sequential simulation is proposed.The method can optimize the power balance with wind power at each time period of a year.An optimization model is built for analyzing the wind power plan of provincial power grid.Based on an actual provincial power grid,capabilities in wind power balancing,energy-saving,and emission reduction between time sequence simulation method and typical day analysis method are studied.The impacts of different generating schedules on the wind power balance ability are also included.Case study results show that the model of a 3-day rolling optimization is appropriate for the actual grid dispatching with high computational efficiency.Moreover,the wind power accommodation ability can be improved by using this model to provide a reference for annual planning.

关键词

风力发电/时序仿真/年度计划/机组组合/风电消纳

Key words

wind power generation/time sequential simulation/annual planning/unit commitment/wind power accommodation

引用本文复制引用

刘纯,曹阳,黄越辉,李鹏,孙勇,袁越..基于时序仿真的风电年度计划制定方法[J].电力系统自动化,2014,(11):13-19,7.

基金项目

国家科技支撑计划资助项目(2013BAA02B01) (2013BAA02B01)

国家电网公司科技项目。This work is supported by National Key Technologies R&D Program(No.2013BAA02B01)and State Grid Corporation of China (No.2013BAA02B01)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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