Uma abordagem com multi-mochilas multidimensionais para o problema de alocação de ações de redução de perdas na distribuição de energia
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Data
2015-03-16
Autores
Moreira, João Carlos Heringer
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Universidade Federal do Espírito Santo
Resumo
In developing countries, non-technical energy losses caused by factors unrelated to the transportation, transformation and distribution processes are considered by distribution companies as some of the greatest causes of loss. In Brazil, part of those losses can be passed on to consumers as an increase in the energy bill. However, the maximum value of this increase is limited by the regulatory agency, as a way to encourage distribution companies to make improvements on their activities. This limit is defined in the form of non-technical energy loss reduction goals. The optimization problem adressed in this work treats the loss reduction from the distribution companies point of view. In order to achieve the goals established by the regulatory agency, the companies have several loss reduction actions, which must be allocated in multiyear plans. These plans try to achieve the reduction goals without exceeding predefined budgets, always aiming to obtain the highest possible profit with the actions allocation. This work approaches the problem of those plans definition as a generalization of the Knapsack Problem. A formal model is defined as an integer programming problem and the model’s hardness is analysed through computational experiments, using a generic solver applied to a variety of instances to obtain the exact solution. Two heuristics are then proposed, the first one based in a greedy approach and the second on the Tabu Search metaheuristic, and applied to the problem. Finally, the techniques are compared considering the quality of the solutions.
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Knapsack problem , Metaheuristics , Meta-heurísticas , Problema da mochila , Perdas não-técnicas de energia , Combinatorial optimization , Non-technical energy losses
Citação
MOREIRA, João Carlos Heringer. Uma abordagem com multi-mochilas multidimensionais para o problema de alocação de ações de redução de perdas na distribuição de energia. 2015. 66 f. Dissertação (Mestrado em Informática) - Universidade Federal do Espírito Santo, Centro Tecnológico, Vitória, 2015.