Browsing by Author "Rojas L.A."

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Analysis of Power Losses in Electric Distribution System Using a MATLAB-Based Graphical User Interface (GUI)
(Springer, 2019) Rojas L.A.; Montoya O.D.; Campillo Jiménez, Javier Eduardo; Figueroa-Garcia J.C.; Duarte-Gonzalez M.; Jaramillo-Isaza S.; Orjuela-Canon A.D.; Diaz-Gutierrez Y.
This paper describes a graphical user interface (GUI) developed in MATLAB that provides a user-friendly environment for analyzing the power loss behavior in distribution networks with radial configurations. This GUI allows power systems analysts an easier understanding of the effect of the power dissipation in conductors. The implementation of this GUI implements three radial test feeders using 10, 33 and 69 nodes. As power flow methodology, the successive approximation power flow method was employed. The proposed GUI interface allows identifying the power loss performance in the distribution networks by including a distributed generator (DG) into the grid, operating with unity power factor. This DG is connected to each node to determine which connection provides with the optimal power loss minimization. Numerical results supported by the graphical analysis validate the applicability and importance of user-friendly GUI interfaces for analyzing power systems. © 2019, Springer Nature Switzerland AG.
Vortex Search Algorithm for Optimal Sizing of Distributed Generators in AC Distribution Networks with Radial Topology
(Springer, 2019) Montoya O.D.; Grisales-Noreña L.F.; Amin W.T.; Rojas L.A.; Campillo Jiménez, Javier Eduardo; Figueroa-Garcia J.C.; Duarte-Gonzalez M.; Jaramillo-Isaza S.; Orjuela-Canon A.D.; Diaz-Gutierrez Y.
This paper proposes a vortex search algorithm (VSA) optimization for optimal dimensioning of distributed generators (DGs), in radial alternating current (AC) distribution networks. The VSA corresponds to a metaheuristic optimization technique that works in the continuous domain, to solve nonlinear, non-convex, large scale optimization problems. Here, this technique is used to determine the optimal power generation capacity of the DGs from the top-down analysis. From the bottom-up, a conventional backward/forward power flow is employed for determining the voltage behavior and calculate the power losses of the network, for each power output combination in the DGs. Numerical results demonstrate that the proposed approach is efficient and robust for reducing power losses on AC grids by optimally sizing the capacity the DGs, compared with other approaches found on literature reports. All the simulations were conducted using the MATLAB software. © 2019, Springer Nature Switzerland AG.