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Multiobjective Optimization of Renewable Distributed Generations in Radial Distribution Networks with Optimal Power Factor


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DOI: https://doi.org/10.15866/iree.v13i4.15069

Abstract


An appropriate Renewable Distributed Generation (RDG) in power distribution systems can provide both technical and economic benefits. In this research paper, authors propose the application of Vortex Search Algorithm (VSA) and Artificial Bee Algorithm (ABC) to solve the optimization problem of Hybrid Renewable DG in the radial distribution network. Combined VSA and ABC have excellent performance in exploration in order to solve the multiobjective optimization problems together with new performance indices for optimal placement of RDGs. The voltage magnitude, the real and reactive powers intake by distribution grid, the voltage stability, and the cost of energy loss obtained from HRDGs are determined. The effectiveness of the proposed methods is tested on IEEE 34-nodes and these methods are applied in the real distribution network of 12-nodes connected at feeder number 9 tapped from a substation of Nakhon Ratchasima Province, in Thailand. The results prove the strength of the suggested technique (HVSA) with better optimization values compared to different techniques presented in literature.
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Keywords


VSA; ABC; Performance Indices; HVSA; Renewable DG

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References


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