Wind power forecasting uncertainty and unit commitment

• Tipo: Artigo em Revista Científica Internacional
• Data: 2011

Autores

Jianhui Wang (Autor) FEUP; Audun Botterud (Autor) FEUP; Ricardo Jorge Bessa (Autor) FEUP; Hrvoje Keko (Autor) FEUP; Leonel Magalhães Carvalho (Autor) Outra; Diego Issicaba (Autor) Outra; Jean Sumaili (Autor) Outra; Vladimiro Miranda (Autor) FEUP

Revista

Título: Applied Energy

Vol. 88 Nº 11

Páginas: 4014-4023

ISSN: 0306-2619

Editora: Elsevier

Indexação

ISI Web of Knowledge - 223 Citações

ISI Web of Science

Scopus - 252 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia electrotécnica

Outras Informações

ID Authenticus: P-002-KD0

DOI: 10.1016/j.apenergy.2011.04.011

Abstract (EN): In this paper, we investigate the representation of wind power forecasting (WPF) uncertainty in the unit commitment (UC) problem. While deterministic approaches use a point forecast of wind power output, WPF uncertainty in the stochastic UC alternative is captured by a number of scenarios that include cross-temporal dependency. A comparison among a diversity of UC strategies (based on a set of realistic experiments) is presented. The results indicate that representing WPF uncertainty with wind power scenarios that rely on stochastic UC has advantages over deterministic approaches that mimic the classical models. Moreover, the stochastic model provides a rational and adaptive way to provide adequate spinning reserves at every hour, as opposed to increasing reserves to predefined, fixed margins that cannot account either for the system's costs or its assumed risks.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 10