Figueroa-Garcia J.C.Duarte-Gonzalez M.Jaramillo-Isaza S.Orjuela-Canon A.D.Diaz-Gutierrez Y.2020-03-262020-03-262019Communications in Computer and Information Science; Vol. 1052, pp. 28-39978303031018918650929https://hdl.handle.net/20.500.12585/9183This paper addresses the analysis the optimal power flow (OPF) problem in alternating current (AC) radial distribution networks by using a new metaheuristic optimization technique known as a sine-cosine algorithm (SCA). This combinatorial optimization approach allows for solving the nonlinear non-convex optimization OPF problem by using a master-slave strategy. In the master stage, the soft computing SCA is used to define the power dispatch at each distributed generator (dimensioning problem). In the slave stage, it is used a conventional radial power flow formulated by incidence matrices is used for evaluating the total power losses (objective function evaluation). Two conventional highly used distribution feeders with 33 and 69 nodes are employed for validating the proposed master-slave approach. Simulation results are compared with different literature methods such as genetic algorithm, particle swarm optimization, and krill herd algorithm. All the simulations are performed in MATLAB programming environment, and their results show the effectiveness of the proposed approach in contrast to previously reported methods. © 2019, Springer Nature Switzerland AG.Recurso electrónicoapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/conferenceObject10.1007/978-3-030-31019-6_3Optimal power flowOptimal sizing of distributed generationRadial distribution networksSine-cosine algorithmSoft computing optimization techniqueAcoustic generatorsCombinatorial optimizationConvex optimizationDistributed power generationElectric impedance measurementElectric load flowGenetic algorithmsMATLABParticle size analysisParticle swarm optimization (PSO)Silicon compoundsSoft computingOptimal power flowsOptimal sizingOptimization techniquesRadial distribution networksSine-cosine algorithmElectric load dispatchinginfo:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 InternacionalUniversidad Tecnológica de BolívarRepositorio UTB5721200887956919564100572081266355579199120057191493648