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This paper introduces the application of Taguchi method to find the optimal allocation of distributed generations (DGs) in distribution network to minimize feeder power losses. The proposed method employs an orthogonal array (OA) to obtain optimal siting and sizing of DGs. The factors of OA are tuned by executing factorial design of experiments iteratively to optimize the objective function. The developed...
This paper presents a meta-heuristic based algorithm for determining the minimum loss reconfiguration for different load models in radial distribution system. Proposed method includes the genetic algorithm (GA) for optimizing the reconfiguration problem. After investigating the results obtained by the proposed method, it is clear that the type of load is a main deciding factor for reconfiguration...
This paper presents an efficient method for the reconfiguration of radial distribution systems for minimization of real power loss using adapted ant colony optimization. The conventional ant colony optimization is adapted by graph theory to always create feasible radial topologies during the whole evolutionary process. This avoids tedious mesh check and hence reduces the computational burden. The...
This paper presents an efficient method for the multi-objective reconfiguration of radial distribution systems in fuzzy framework using adaptive particle swarm optimization. The initial population for particle swarm optimization is created using a heuristic approach and the particles are adapted with the help of graph theory to make feasible solutions. This avoids tedious mesh check and hence reduces...
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