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

• Type: Article in International Scientific Journal
• Date: 2013

Authors

Botterud, A (Author) Other; Zhou, Z (Author) Other; Wang, JH (Author) Other; Sumaili, J (Author) Other; Keko, H (Author) Other; Mendes, J (Author) Other; Bessa, RJ (Author) Other; Vladimiro Miranda (Author) FEUP

Journal

Title: IEEE Transactions on Sustainable Energy

Vol. 4 No. 1

Pages: 250-261

ISSN: 1949-3029

Publisher: IEEE

Indexing

ISI Web of Knowledge - 90 Citations

Scopus - 109 Citations

Other information

Authenticus ID: P-006-FFY

DOI: 10.1109/tste.2012.2215631

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 12