Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/347155
Type: Artigo
Title: Centralized self-healing scheme for electrical distribution systems
Author: Cavalcante, Patricia L.
Lopez, Juan Camilo
Franco, John F.
Rider, Marcos J.
Garcia, Ariovaldo V.
Malveira, Marcos R. R.
Martins, Luana L.
Direito, Luiz Carlos M.
Abstract: In this paper, a two-stage procedure is proposed in order to solve the centralized self-healing scheme for electrical distribution systems. The considered self-healing actions are the reconfiguration of the distribution grid and, if needed, node and zone load-shedding. Thus, the proposed procedure determines the status of the switching devices in order to effectively isolate a faulty zone and minimize the number of de-energized nodes and zones, while ensuring that the operative and electrical constraints of the system are not violated. The proposed method is comprised of two stages. The first stage solves a mixed integer linear programming (MILP) problem in order to obtain the binary decision variables for the self-healing scheme (i.e., the switching device status and energized zones). In the second stage, a nonlinear programming (NLP) problem is solved in order to adjust the steady-state operating point of the topology found in the first stage (i.e., correction of the continuous electrical variables and load-shedding optimization). Commercial optimization solvers are used in the first stage to solve the MILP problem and in the second stage to solve the NLP problem. A 44-node test system and a real Brazilian distribution system with 964-nodes were used to test and verify the proposed methodology
Subject: Programação não-linear inteira mista
Country: Estados Unidos
Editor: Institute of Electrical and Electronics Engineers
Rights: Fechado
Identifier DOI: 10.1109/TSG.2015.2454436
Address: https://ieeexplore.ieee.org/document/7175042
Date Issue: 2016
Appears in Collections:FEEC - Artigos e Outros Documentos

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