Please use this identifier to cite or link to this item: http://hdl.handle.net/10216/70048
Author(s): Bruno André Gomes
João Tomé Saraiva
Luís Neves
Title: Modelling costs and load uncertainties in optimal power flow studies
Issue Date: 2008
Abstract: Modeling uncertainties in power systems has long interested researchers. Nowadays, as in 70s, the volatility associated with generation or fuel prices, for one side, and the uncertainties related with load forecasting and generation capacity, for another, places a new emphasis on this kind of problems. As a result of this renewed interest, in this paper we are enlarging the original Fuzzy Optimal Power Flow, FOPF, model in order to consider not only load uncertainties, but also uncertainties in generation or fuel prices, specified using trapezoidal fuzzy numbers. This new approach is based on multiparametric linear programming techniques that lead to the identification of a number of critical regions covering all the uncertainty space. This contributes to build more accurate membership functions of all variables, namely generations, branch flows and power not supplied.
Subject: Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
URI: http://hdl.handle.net/10216/70048
Source: IEEE 5th International Conference on the European Electricity Market
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: restrictedAccess
License: https://creativecommons.org/licenses/by-nc/4.0/
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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