Modelo matemático para o controle ótimo de Volt/VAr em sistemas de distribuição de energia elétrica trifásicos
Ano de defesa: | 2015 |
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Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | |
Tipo de documento: | Dissertação |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Universidade Estadual Paulista (Unesp)
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Programa de Pós-Graduação: |
Não Informado pela instituição
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Departamento: |
Não Informado pela instituição
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País: |
Não Informado pela instituição
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Palavras-chave em Português: | |
Link de acesso: | http://hdl.handle.net/11449/124497 http://www.athena.biblioteca.unesp.br/exlibris/bd/cathedra/18-06-2015/000836000.pdf |
Resumo: | This work presents a mixed-integer second-order conic programming model as a new approach to the optimal control of the Volt / VAr problem in three-phase electric distribution systems. The main goal is to minimize the active energy losses by the best suited adjustment of the num- ber of switching by the on-load transformer tap changers, switchable capacitor banks, voltage regulators, the generation of the active and reactive power by distributed generators and the operation of remotely controlled switches. In order to calculate the optimal set of variables of each control device, the model considers two operating states, the normal state (state with the generators providing energy in the system) and the contingency state. The contingency state considers the disconnection of the generators caused by a disturbance in the system, which re- quires the disconnection of these sources of energy. The proposed problem is a very complex mixed integer nonlinear programming problem, so it is reformulated as another problem, pro- blem in which some expressions are linearized and other relaxed, resulting in a mathematical model of mixed-integer second-order conic programming. The optimal solution by the propo- sed model was found using commercial mixed integer linear programming solvers. The results show the efficiency and robustness of the mathematical formulation |