Sizing and Evaluation Analysis of Hybrid Solar-Wind Distributed Generations in Real Distribution Network Considering the Uncertainty

In this paper, the optimal placement and rating of renewable energy resources (RER) including solar PV and wind units are assigned using efficient algorithm called Moth Flame Optimization (MFO) for power loss minimization. The uncertainty problems in electrical systems should be considered for efficient planning and operation by diminishing the risk of assigning the inclusion of Distributed Generators (DG). This work determines the optimal allocation of RER in the radial distribution grids (RDGs) considering the uncertainties for an actual radial grid of the East Delta Network. The simulation results confirm that the optimal inclusion of solar and wind units minimizes the power loss considerably. Moreover, the developed algorithm is effective to determine the optimal ratings and locations of hybrid solar-wind units in terms of reducing power loss considering the uncertainties.