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

• Type: Article in International Scientific Journal
• Date: 2007

Authors

Gustavo Schweickardt (Author) Other; Vladimiro Henrique Barrosa Pinto de Miranda (Author) FEUP

Journal

Title: Latin American Applied Research

Vol. 37 No. 4

Pages: 227-234

ISSN: 0327-0793

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

Indexing

ISI Web of Knowledge - 6 Citations

ISI Web of Science

Scopus - 8 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Engineering > Electrical engineering

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific