Alocação otimizada de dispositivos indicadores de faltas em linhas aéreas de distribuição utilizando busca em vizinhança variável
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2017-05-30
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Universidade Federal de Goiás
Resumo
Electricity distribution networks are constantly subject to contingencies that can lead to
interruption of supply, bringing disruption to consumers of electric energy and increasing the
cost of compensation for violation of individual indicators of continuity. In this context, Fault
Indicator Devices (PIs) have been shown to be a promising alternative to improve Quality of
Service. As the use of these equipments requires considerable investments, the use of IFs in
arbitrary stretches of the network is prohibitive, making necessary the development of a
methodology for the optimal allocation of these devices. In this sense, it is understood that a
good methodology should minimize the average time of displacement of the maintenance
teams to the locations of the defects, implying in the significant reduction of the other
indicators dependent on this time, especially the Equivalent Duration of Interruption per
Consumer Unit (DEC). The main contribution of this dissertation is the implementation of a
meta-heuristic Variable Neighborhood Search (VNS), in order to determine the positions for
the installation of the IFs, in order to reduce to the maximum the DEC estimation. In the
methodology developed, the chosen network positions (sections) contemplate both the main
trunk and the extensions, in addition to considering the influence of other protection devices
in the network. In addition, the estimation of the average search time in the presence of these
devices considers the failure rates and lengths of the stretches, extending the estimates made
in other works. The results, obtained for a real feeder, in most of the studied situations, led to
the allocation of IFs in sections of branches, bringing a more significant reduction in the
Quality of Service indicators and demonstrating the effectiveness of the proposed
methodology.
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VASCONCELOS, J. A. Alocação otimizada de dispositivos indicadores de faltas em linhas aéreas de distribuição utilizando busca em vizinhança variável. 2017. 149 f. Dissertação (Mestrado em Engenharia Elétrica e da Computação) - Universidade Federal de Goiás, Goiânia, 2017.