New advances in integrating fuzzy data in Monte Carlo simulation to evaluate reliability indices of composite power systems

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 1998

Autores

João Tomé Saraiva (Autor) FEUP; Sousa, AV (Autor) Outra

Ata de Conferência Internacional

Título: MELECON '98 - 9TH MEDITERRANEAN ELECTROTECHNICAL CONFERENCE, VOLS 1 AND 2

Páginas: 1084-1088

9th Mediterranean Electrotechnical Conference (Melecon 98)

TEL AVIV, ISRAEL, MAY 18-20, 1998

Indexação

ISI Web of Knowledge - 2 Citações

Scopus - 4 Citações

Outras Informações

ID Authenticus: P-001-9G6

Abstract (EN): In this paper several concepts related to the application of Monte Carlo simulation to evaluate reliability indices of composite power systems are reviewed. In the sequence of previous papers, one integrates in the Monte Carlo simulation a DC Fuzzy Optimal Power Flow model to cope with uncertainties in peak loads. This general framework is now enhanced as one can specify fuzzy load duration curves, uncertainties in repair and failure rates and can adopt either non-chronological or chronological sampling strategies. This package can thus be used to evaluate the impact in the expected values of Power and Energy Not Supplied of uncertainties affecting several variables and parameters.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 5