Demand and generation cost uncertainty modelling in power system optimization studies

• Tipo: Artigo em Revista Científica Internacional
• Data: 2009

Autores

Bruno André Gomes (Autor) FEUP; João Tomé Saraiva (Autor) FEUP

Revista

Título: Electric Power Systems Research

Vol. 79 Nº 6

Páginas: 1000-1009

ISSN: 0378-7796

Editora: Elsevier

Indexação

ISI Proceedings

ISI Web of Knowledge - 4 Citações

ISI Web of Science

Scopus - 9 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-003-JEQ

DOI: 10.1016/j.epsr.2008.12.010

Abstract (EN): This paper describes the formulations and the solution algorithms developed to include uncertainties in the generation cost function and in the demand on DC ¿ OPF studies. The uncertainties are modelled by trapezoidal fuzzy numbers and the solution algorithms are based on multiparametric linear programming techniques. These models are a development of an initial formulation detailed in several publications co-authored by the second author of this paper. Now, we developed a more complete model and a more accurate solution algorithm in the sense that it is now possible to capture the widest possible range of values of the output variables reflecting both demand and generation cost uncertainties. On the other hand, when modelling simultaneously demand and generation cost uncertainties, we are representing in a more realistic way the volatility that is currently inherent to power systems. Finally, the paper includes a case study to illustrate the application of these models based on the IEEE 24 bus test system.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 10