Optimal Sharing of Renewable Energy Sources in Distribution Networks Considering the Uncertainties

This paper proposes a framework to demonstrate the impact of renewable energy sources' (RESs) uncertainties on the optimal sharing of energy and optimal allocation of different types of RESs in the distribution system to minimize energy losses. Because of the huge annual lossesin distribution networks, loss reduction in these networks will be desired from the distribution system operator's perspective. Loss reduction can have significant savings in energy consumption and justify investments to improve network efficiency. One of these investments is optimal location and sizing of distributed generations (DGs) such as clean and renewable generation sources in the network. Uncertainty in RES- based DGs power generatiom and energy demand, makes the planning and operation of distribution networks a challanging problem. As a result, it is assumed that RESs can share a small percentage of their nominal capacity.The proposed method, guarantees the optimal energy sharing and placement of RESs for all possible operating conditions.The inherent uncertainties of RESs are modeled via scenario base method. Penetration limit and number of DGs determined by sensitivity analysis. The proposed model is implemented on the IEEE standard 33-bus radial test systems, and solved by General Algebraic Modeling System (GAMS) optimization software. The simulation results show that appropriate dispatch of energy on the existing resources and minimization of energy loss could be obtained with respect to optimal energy sharing and placement of RES. Analysis results of probabilistic and deterministic cases, substanciate the lossreduction about 35%.