Unbalanced Radial Distribution System Power Loss Reduction by Optimal Distributed Generator Sizing and Location Using Differential Evolution Technique

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Distributed energy sources cadge today’s demand. The distributed generation is one of the alternative methods for reducing the gap between power generation and demand. The distributed generation confirms the efficacy of meeting escalating demand when placed at appropriate location with proper size. The objective of this work is to track the suitable place with appropriate size of the Distributed Generators to be installed in an unbalanced radial distribution test system to minimize the  power losses while satisfying the operational constraints like rms value of bus voltage limit and the thermal limits of radial feeder lines. The proper location for placing the Distributed Generators is identified by estimating voltage stability index. A meta-heuristic approach based on Differential Evolution algorithm is utilized to get the optimal sizing of Distributed Generation. The proposed algorithm is implemented on the modified IEEE 37 bus unbalanced radial distribution network.
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Backward/Forward Sweep (BFS); Differential Evolution (DE); Distributed Generation (DG); Kirchhoff’s Voltage Law (KVL); Kirchhoff’s Current Law (KCL); Radial Distribution Network (RDN); Voltage Stability Index (VSI)

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