Optimal Allocation of Renewable Energy Resources Considering Uncertainty in Load Demand and Generation

The uncertainty problems emerged due to the stochastic variations in power systems including the uncertainties of load and the output powers of renewable energy resources (wind and solar PV units). Thus, considering the uncertainties in power system planning is a challenge issue to diminish the risk of assigning the optimal siting and sizing of renewable energy resources (RER). This paper determines the optimal allocation of RER in the radial distribution network (RDN) considering the uncertainties of system. The optimal ratings and locations of the PV units and the wind-based DG are determined in 118-bus system for power loss minimization using new optimization technique called the lightning attachment procedure optimization (LAPO). Several scenarios are created using Monte-Carlo simulation to consider the uncertainties in the power system. The simulation results reveal that the optimal allocation of wind-based DG and PV units minimizes the power loss considerably. Moreover, the results verify the effectiveness of the proposed algorithm to solve the optimal allocation of wind and solar in terms of the objective function with considering the uncertainties.