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电力市场环境下考虑风电预测误差的经济调度模型
引用本文:吴栋梁,王扬,郭创新,刘毅,高振兴.电力市场环境下考虑风电预测误差的经济调度模型[J].电力系统自动化,2012,36(6):23-28.
作者姓名:吴栋梁  王扬  郭创新  刘毅  高振兴
作者单位:1.浙江大学电气工程学院,浙江省杭州市 310027; 2.芜湖供电公司,安徽省芜湖市 241027; 3.华东电网有限公司,上海市 200002; 4.烟台供电公司,山东省烟台市 264001
摘    要:提出了电力市场环境下考虑风电预测误差的电力系统经济调度模型。对于一定的风电预测值,运用Beta函数对实时可发出力的概率密度分布进行拟合,在考虑预测误差发生概率及其所导致的经济补偿费用基础上,得到统计意义上更为合理的经济调度模型。该模型建立在较为完善的电力市场环境下,计及了发电企业报价需要考虑到的温室气体排放权费用。仿真算例比较了考虑风电预测误差与否对市场出清电价、电网平均购电成本等运营指标的影响。结果表明,所提出的模型能够有效降低电网公司的运营成本,促进资源的优化配置。

关 键 词:风力发电  预测误差  电力市场  经济调度
收稿时间:2/17/2011 2:39:32 PM
修稿时间:2012/2/28 0:00:00

An Economic Dispatching Model Considering Wind Power Forecast Errors in Electricity Market Environment
WU Dongliang,WANG Yang,GUO Chuangxin,LIU Yi,GAO Zhenxing.An Economic Dispatching Model Considering Wind Power Forecast Errors in Electricity Market Environment[J].Automation of Electric Power Systems,2012,36(6):23-28.
Authors:WU Dongliang  WANG Yang  GUO Chuangxin  LIU Yi  GAO Zhenxing
Affiliation:1.College of Electrical Engineering,Zhejiang University,Hangzhou 310027,China; 2.Wuhu Power Supply Bureau,Wuhu 241027,China; 3.East China Grid Co.Ltd.,Shanghai 200002,China;4.Yantai Power Supply Bureau,Yantai 264001,China)
Abstract:An economic dispatching model of the power system considering wind power forecast error in the electricity market environment is developed.For a certain wind power forecast value,a Beta function is used to fit the probability density distribution of the real-time available output power.Considering the probability of the forecast error and the economic compensation cost they caused,a more reasonable dispatching model in statistics is proposed.The model is based on the more sound electricity market environment,and the cost of greenhouse gas emission right that needs to be considered by the power company is taken into account.A simulation case compares the effects of the wind power forecast errors on the market clearing price and average purchasing cost of the power grid.The result shows that the proposed model can effectively reduce the operating cost of the power company,and promote the optimal allocation of resources.
Keywords:wind power  forecast error  electricity market  economic dispatching
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