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风电功率预测信息在日前机组组合中的应用
引用本文:王彩霞,鲁宗相.风电功率预测信息在日前机组组合中的应用[J].电力系统自动化,2011,35(7):13-18.
作者姓名:王彩霞  鲁宗相
作者单位:电力系统国家重点实验室,清华大学电机系,北京市,100084
基金项目:国家自然科学基金面上基金项目
摘    要:将风电功率预测信息纳入电力系统调度运行是解决风电波动的主要技术之一.受自然条件影响,风电功率预测的精度仍然较低.描述风电功率的不确定性并在机组组合中使用该信息,可提高机组组合决策的鲁棒性.文中分别采用点预测、区间预测和分位点预测描述风电功率的不确定性.在此基础上,分别建立了适合各种风电功率预测信息的机组组合模型.最后,...

关 键 词:风电功率预测  机组组合  不确定性  鲁棒性
收稿时间:7/10/2010 9:21:12 PM
修稿时间:3/18/2011 9:51:40 PM

Unit Commitment Based on Wind Power Forecast
WANG Caixi,LU Zongxiang.Unit Commitment Based on Wind Power Forecast[J].Automation of Electric Power Systems,2011,35(7):13-18.
Authors:WANG Caixi  LU Zongxiang
Affiliation:(State Key Lab of Power Systems,Department of Electrical Engineering,Tsinghua University,Beijing 100084,China)
Abstract:Incorporating wind power forecast in power system operation is one of the main techniques for mitigating the fluctuation of wind power variation.Because of changes of weather,however,it is still a challenge to make highly accurate wind power forecast.By describing the uncertainty of wind power forecast and using it in unit commitment(UC) will help make more robust day-ahead schedules.Three categories of wind forecast information are described in this paper.A modified UC model is proposed that can be flexibly adapted to each type of wind power forecast information.Ten units from an IEEE-RTS 96 system are selected to test the proposed model.Simulation results show the effectiveness of the model in using different wind power forecast information.In addition,occasional wind curtailment may help system operate more economically.
Keywords:wind power forecast  unit commitment  uncertainty  robustness
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