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

• Tipo: Artigo em Revista Científica Internacional
• Data: 2013

Autores

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

Revista

Título: IEEE Transactions on Sustainable Energy

Vol. 4 Nº 1

Páginas: 250-261

ISSN: 1949-3029

Editora: IEEE

Indexação

ISI Web of Knowledge - 90 Citações

Scopus - 109 Citações

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 12