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Fuzzy-Based Optimal Integration of Multiple Distributed Generations

Abstract:

This chapter introduces an important multiobjective optimization strategy based on the algorithm of whale optimization (MOWOA) and fuzzy decision-making for efficient integration of several distributed generations (DGs) into radial distribution networks (RDNs). The optimum allocation of DGs to RDNs is applied to minimize power losses and voltage deviation (VD) and to optimize the voltage stability index (VSI) at the same time. The compromise solution of the optimum size and location of DGs is reached based on a fuzzy decision-making process. The MOWOA algorithm is approved using the IEEE radial distribution: 33- and 69-buses. The performance of the MOWOA is assessed by a detailed analysis with other competitive optimization techniques. The results indicate that the MOWOA with the fuzzy decision-making is successful in assigning a minimum power loss and convergence rates into the DGs allocation problem.