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Power Loss Reduction in Small-Scale Electrical Distribution System Using Adaptive Shuffled Frog Leaping Algorithm


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DOI: https://doi.org/10.15866/irecon.v7i1.16213

Abstract


A novel optimization algorithm for power loss reduction in an electrical distribution system through network reconfiguration and distributed generator (DG) installation is proposed. This algorithm evolved from the Shuffled Frog Leaping Algorithm (SFLA) by adjusting the shuffling process of the SFLA. The simulations focused on a 16-bus distribution system. The simulation results achieved by the proposed algorithm were compared to those of well-known algorithms such as conventional SFLA, Genetic Algorithm and Combined Heuristic Constructive Algorithm. It was found that the power loss of the system reconfigured simultaneously with installing the DG is better than the system with only network reconfiguration or installing DG. While considering the best case after network reconfiguration with DG placement, the power loss of the system using this adaptive SFLA was significantly better than that of other algorithms. Thus, the proposed adaptive SFLA becomes another outstanding method for power loss reduction and can be utilized for network reconfiguration or DG placement. The electrical system reconfigured by this proposed algorithm could also deal with an additional renewable energy DG such as an energy storage system, solar, wind, hydro and biomass.
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Keywords


Network Reconfiguration; Power Loss Reduction; Distributed Generator Placement; Renewable Energy Distributed Generator; Shuffled Frog Leaping Algorithm

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References


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