A fuzzy dynamic programming approach for evaluation of expansion distribution cost in uncertainty environments

• Tipo: Artigo em Revista Científica Internacional
• Data: 2007

Autores

Gustavo Schweickardt (Autor) Outra; Vladimiro Henrique Barrosa Pinto de Miranda (Autor) FEUP

Revista

Título: Latin American Applied Research

Vol. 37 Nº 4

Páginas: 227-234

ISSN: 0327-0793

Editora: Planta Piloto de Ingenieria Quimica, CONICET / Universidad Nacional del Sur

Indexação

ISI Web of Knowledge - 6 Citações

ISI Web of Science

Scopus - 8 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-004-78S

Resumo (PT): This paper presents a new Fuzzy Dynamic Programming model that calculates the optimum solution of problems with uncertainties in data defined by fuzzy sets. The result includes the determination of an Intrinsic Risk Threshold of the solution. Extrinsic Risk Thresholds may also be set by a Decision Maker, in order to obtain more robust solutions. The technique is applied to the calculation of Distribution System expansion costs to serve the objectives of a Regulatory Authority (Regulator) in fixing levels of efficiency, targets and penalties to a regulated market.

Abstract (EN): This paper presents a new Fuzzy Dynamic Programming model that calculates the optimum solution of problems with uncertainties in data defined by fuzzy sets. The result includes the determination of an Intrinsic Risk Threshold of the solution. Extrinsic Risk Thresholds may also be set by a Decision Maker, in order to obtain more robust solutions. The technique is applied to the calculation of Distribution System expansion costs to serve the objectives of a Regulatory Authority (Regulator) in fixing levels of efficiency, targets and penalties to a regulated market.

Idioma: Inglês

Tipo (Avaliação Docente): Científica