Demand Dispatch and Probabilistic Wind Power Forecasting in Unit Commitment and Economic Dispatch: A Case Study of Illinois

被引：105

作者：

Botterud, Audun ^{[1
]}

Zhou, Zhi ^{[1
]}

Wang, Jianhui ^{[1
]}

Sumaili, Jean ^{[2
]}

Keko, Hrvoje ^{[2
]}

Mendes, Joana ^{[2
]}

Bessa, Ricardo J. ^{[2
]}

Miranda, Vladimiro ^{[2
]}

机构：

[1] Argonne Natl Lab, Decis & Informat Sci Div, Argonne, IL 60439 USA

[2] Univ Porto, Fac Engn, INESC TEC, P-4200465 Oporto, Portugal

来源：

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY | 2013年 / 4卷 / 01期

关键词：

Demand dispatch; dynamic operating reserves; economic dispatch; electricity markets; probabilistic forecasts; unit commitment; wind power; ENERGY DEMAND; ELASTICITIES; GENERATION; SECURITY; SYSTEMS;

D O I：

10.1109/TSTE.2012.2215631

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In this paper, we analyze how demand dispatch combined with the use of probabilistic wind power forecasting can help accommodate large shares of wind power in electricity market operations. We model the operation of day-ahead and real-time electricity markets, which the system operator clears by centralized unit commitment and economic dispatch. We use probabilistic wind power forecasting to estimate dynamic operating reserve requirements, based on the level of uncertainty in the forecast. At the same time, we represent price responsive demand as a dispatchable resource, which adds flexibility in the system operation. In a case study of the power system in Illinois, we find that both demand dispatch and probabilistic wind power forecasting can contribute to efficient operation of electricity markets with large shares of wind power.

引用

页码：250 / 261

页数：12

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