Multi Objective Allocation of Distribution Generation in Distribution System Using Whale Optimization Algorithm

<p>Distributed generation (DG) units are decentralized small-scale power generation systems, they enhance the benefits of distribution networks, such as minimizing power losses, enhancing voltage profiles, and improving the system reliability. However, in order to achieve these benefits, DG units should be optimally sited and sized within the network. The outline in this paper is the use of Whale Optimization Algorithm (WOA) which is an innovative and robust metaheuristics technique based on the hunting behavior of hump-back whales, to address the issue of multi-objective optimization in the placement of distributed generation. The method proposed in this work identifies the best location and size to apply DG devices in a radial distribution network, thereby reducing power losses and improving voltage stability. The performance of the algorithm avails itself using the IEEE 33-bus radial distribution test system. Different types of DGS as well as other optimization algorithms are used as treatment groups in the comparative analyses. Type-III DG, which operated at the 0.9 p.f showed the best performance in terms of loss minimization and voltage improvement and thus confirming the effectiveness and efficiency of the WOA.</p>