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Network reconfiguration in the presence of optimally integrated multiple distributed generation units in a radial distribution network

Shradha Singh Parihar, Nitin Malik

2023Engineering Optimization28 citationsDOI

Abstract

This article presents a hybrid of two metaheuristic techniques, namely the plant growth simulation (PGS) algorithm and particle swarm optimization (PSO), for power loss minimization in a radial distribution network (RDN). The PSO algorithm determines the optimal allocation of multiple distributed generators (DGs), followed by the PGS algorithm for optimal network reconfiguration (NR). Type I and IV DGs were considered. The load flow solutions were obtained using a branch matrix formulation. IEEE 33 and 69 buses were used for performance analysis and the results were compared with previously published results to validate the method in providing solutions even in complex system configurations. The superior results demonstrate that the penetration of multiple DGs along with the NR permits the network to operate successfully under different loading conditions, without violating the constraints.

Topics & Concepts

Control reconfigurationParticle swarm optimizationMathematical optimizationMinificationDistributed generationPower flowMetaheuristicComputer sciencePower (physics)Control theory (sociology)Electric power systemAlgorithmMathematicsEmbedded systemControl (management)Artificial intelligencePhysicsQuantum mechanicsOptimal Power Flow DistributionMicrogrid Control and OptimizationElectric Power System Optimization
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