Please use this identifier to cite or link to this item:
Title: A fuzzy dynamic programming approach for evaluation of expansion distribution cost in uncertainty environments
Authors: Vladimiro Miranda
Gustavo Schweickardt
Issue Date: 2007
Abstract: 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.
metadata.dc.type: article
Appears in Collections:CPES - Articles in International Journals

Files in This Item:
File Description SizeFormat 
PS-05752.pdf179.59 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.