Distribution Optimal Power Flow

dc.contributor.author H. M. Khodr en
dc.contributor.author Jorge Correia Pereira en
dc.contributor.author Manuel Matos en
dc.date.accessioned 2017-11-17T10:06:33Z
dc.date.available 2017-11-17T10:06:33Z
dc.date.issued 2007 en
dc.description.abstract This paper presents a new and efficient methodology for network reconfiguration with optimal power flow based on Benders Decomposition approach. The objective minimizes the power losses, balancing load among the feeders and subject to the constraints: capacity limit of the branches, minimal and maximal limits of the substation or generator, minimum deviation of the nodes voltages and radial operation of the networks. A variant of the generalized Benders decomposition algorithm is applied for solving the problem, since the formulation can be embedded under two stages. The first one is the Master problem and is formulated as Mixed Integer non-Linear Programming. This stage determines the radial topology of the distribution network. The second stage is the Slave problem and is formulated as a non-Linear Programming problem. This stage is used to determine the feasibility of the Master problem solution by means of an Optimal Power Flow and provides information to formulate the linear Benders cuts. The model is programmed in GAMS mathematical modeling language. The effectiveness of the proposal is demonstrated through an example extracted from the specialized literature. en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/3060
dc.language eng en
dc.relation 1809 en
dc.relation 214 en
dc.rights info:eu-repo/semantics/openAccess en
dc.title Distribution Optimal Power Flow en
dc.type conferenceObject en
dc.type Publication en
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