Unit commitment and operating reserves with probabilistic wind power forecasts

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2011

Autores

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

Ata de Conferência Internacional

Título: 2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011

2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011

Trondheim, 19 June 2011 through 23 June 2011

Indexação

Scopus - 31 Citações

Outras Informações

ID Authenticus: P-008-0GK

DOI: 10.1109/ptc.2011.6019263

Abstract (EN): In this paper we discuss how probabilistic wind power forecasts can serve as an important tool to efficiently address wind power uncertainty in power system operations. We compare different probabilistic forecasting and scenario reduction methods, and test the resulting forecasts on a stochastic unit commitment model. The results are compared to deterministic unit commitment, where dynamic operating reserve requirements can also be derived from the probabilistic forecasts. In both cases, the use of probabilistic forecasts contributes to improve the system performance in terms of cost and reliability. © 2011 IEEE.

Idioma: Inglês

Tipo (Avaliação Docente): Científica