مشخصات پژوهش

This paper presents a new probabilistic approach for optimal unit commitment (UC) of distributed generation (DG) in smart distribution networks (SDNs) considering economic and reliability aspects. In this paper the economic and reliable UC of DG is formulated and solved as an optimisation problem. The network is assumed to be supplied by dispatchable and non- dispatchable generators and energy storage systems (ESSs). The optimization aim is to minimize the overall operating cost, power losses cost, the pollutants emission cost and cost of energy not supply (ENS). The economic and reliability evaluation is done under uncertain behaviour of load and renewable power generation. The system uncertainties are considered using a set of scenarios and a scenario reduction method is applied to enhance a trade-off between the accuracy of the solution and the computational burden. Cuckoo optimization algorithm (COA) is implemented to minimize the objective function as an optimization algorithm. The effectiveness and efficiency of the proposed method are validated through extensive numerical tests on PG&E 69-bus test distribution system.