A Novel Hybrid Fuzzy-Metaheuristic Strategy for Estimation of Optimal Size and Location of the Distributed Generators

Optimal size and location of the distributed generators (DGs) has become a new avenue applied to achieve proper design provide better performance for distribution system. A hybrid Fuzzy-Metaheuristic strategy been proposed in this work an optimal sizing placement different types DGs. In introduced strategy, fuzzy logic based adaptive weights subroutine combined with metaheuristic optimizer conjunction power system model, load flow software, input/output software modules three approaches suitable various Minimizing active reactive losses as well enhancing voltage characteristics over whole using multi objective function dynamic adjustment work. Furthermore, novel approach variable factor established investigated previously published constant unity approaches. To prove validity approach, IEEE systems 33 66 buses have used test efficiency accuracy strategy. optimization named Hybrid Fuzzy Equilibrium Optimizer (HFEO) is estimate DGs inserted selected systems. The technique on merging adapt dynamically newly developed Algorithm equilibrium process. For fair verification technique, its results compared that five algorithms presented literature superiority reliability other state art. intensive comparisons, some statistical analysis show minimum function, highest speed convergence, least execution time most consistent results.