Browsing by Author "Granada M."

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Integrated Methodology for the Planning of Electrical Distribution System Considering the Continuity of the Service and the Reduction of Technical Losses
(Springer, 2019) Montoya O.D.; Hincapié R.A.; Granada M.; Figueroa-Garcia J.C.; Duarte-Gonzalez M.; Jaramillo-Isaza S.; Orjuela-Canon A.D.; Diaz-Gutierrez Y.
This article presents a methodology that allows to obtain an optimal plan of re-configuration of the local distribution system to 13.2 kV, considering the improvement in the continuity of the service to the users and the reduction of technical losses in the network. The methodology consists of two phases: The first deals with the problem of the reconfiguration of primary distribution circuits through permanent measures and temporary measures. The second phase ad-dresses one of the main problems in the planning of the expansion of distribution networks, which consists of the location of the distribution substations, which represent the main link between transmission and distribution systems. The implementation of the methodology allows to simulate different scenarios and constitutes a tool for the planning of the distribution system of the regional operators (OR) of the local distribution systems (LDS). © 2019, Springer Nature Switzerland AG.
Optimal Location of Protective Devices Using Multi-objective Approach
(Springer Verlag, 2018) Montoya O.D.; Hincapie R.A.; Granada M.; Maya Duque P.A.; Villegas J.G.; Figueroa-Garcia J.C.; Orozco-Arroyave J.R.
In this paper a multi-objective model for the problem of optimal location of reclosers and fuses in power electric distribution systems is presented, considering the possibility of fuse rescue through the coordinated operation with reclosers and continuous operation with fuses of repetition. The problem is presented based on a mixed integer non-linear programming model with four objectives of minimization: Average System Interruption Frequency Index (ASIFI), System Average Interruption Frequency Index (SAIFI), Momentary Average Interruption Frequency Index (MAIFI) and the cost of the protective elements, and a set of non-linear technical and economic constraints. A Non-dominated Sorted Genetic Algorithm (NSGA II) is used as solution technique. In addition to this, the mathematical model presented for the MAIFI and SAIFI indices, is evaluated in the commercial optimization package of GAMS, in order to meet a global optimum from the one-objective point of view. The methodology proposed is assessed in two test systems from the literature highlight the efficiency of the presented model in improving system reliability while reducing associated costs. © 2018, Springer Nature Switzerland AG.