Generation transmission power system reliability evaluation by Monte-Carlo simulation assuming a fuzzy load description

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 1995

Autores

João Tomé Saraiva (Autor) FEUP; Vladimiro Miranda (Autor) FEUP; PINTO, LMVG (Autor) Outra

Ata de Conferência Internacional

Título: 1995 IEEE POWER INDUSTRY COMPUTER APPLICATION CONFERENCE, CONFERENCE PROCEEDINGS

Páginas: 554-559

1995 IEEE Power Industry Computer Application Conference (PICA 95)

SALT LAKE CITY, UT, MAY 07-12, 1995

Indexação

ISI Web of Knowledge - 4 Citações

Scopus - 12 Citações

Outras Informações

ID Authenticus: P-001-J46

Abstract (EN): This paper presents a Monte-Carlo algorithm considering loads defined by fuzzy numbers. In this methodology states are sampled according to the probabilistic models governing the life cycle of system components while fuzzy concepts are used to model uncertainty related to future load behavior. This model can be used to evaluate generation/transmission power system reliability for long term planning studies as one uses the more adequate uncertainty models for each type of data. For each sampled state a Fuzzy Optimal Power Flow is run so that one builds its power not supplied membership function. The paper proposes new indices reflecting the integration of probabilistic models and fuzzy concepts and discusses the application of variance reduction techniques if loads are defined by fuzzy numbers. A case-study based on the IEEE 30 bus system illustrates this methodology.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6