Integration of Renewable Distributed Generation in Distribution Networks Including a Practical Case Study Based on a Hybrid PSOGSA Optimization Algorithm

Abstract Integration of distributed generations (DGs) in distribution systems is deemed as effective and intelligent resolution to keep up with increased loads. Renewable sources are deemed as sources of DGs. In this article, a novel functional, and robust PSOGSA optimizer is demonstrated to discover the optimal allocations of DGs’ units for enhancing voltage stability in addition to minifying the power loss and operating cost. Such is accomplished in two divisions. (i) The loss-sensibility-factors (LSFs) are used to elect the convenient sensitive nodes for DGs’ installations. (ii) The PSOGSA is carried out to conclude the optimum allocation and capacity of DGs from the chosen nodes. The prepared methodology has been satisfied on IEEE distribution grids and 111 nodes distribution network of Moscow region. To check the validity of the prepared scheme, it has been demonstrated comprehensive analysis between PSOGSA and recent optimization mechanisms such as backtracking search, genetic, particle swarm, hybridized genetic algorithm and particle swarm, simulation annealing, and bacterial foraging. The numeral results have demonstrated the ability of the prepared algorithm to locate the optimum resolutions with high performance and speed.

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