Scheduling of Distributed Energy Resources in Active Distribution Networks Considering Combination of Techno-Economic and Environmental Objectives

The use of the potential capacity of Electric Vehicles' (EVs) is regarded as one of the feasible solutions to boost the integration of Renewable Energy Sources (RES) into power systems. The incorporation of EVs' potential in smart distribution systems entails effective management of their power exchange with the grid in charging/discharging modes. The present study delves into a multi-objective optimization problem seeking for an optimum operation schedule of the grid, including EVs and Distributed Generation (DG) in the smart grid. The objective function is comprised of minimization of operation cost along with the reduction of emission. The Beta distribution and Weibull distribution approaches are employed to deal with the uncertainties of renewable resources in the model. The Cuckoo bird Optimization Algorithm (COA) is also employed to solve the problem. In addition, the fuzzy method is applied to the model to find the best solution to the multi-objective optimization problem. In order to evaluate and assess the performance of the proposed method, it is tested on a 33-bus distribution system for a 24-hour interval subject to satisfy the operational constraints of the power system, DG, and EVs. The obtained results convey the high performance of the proposed method in resource planning and improvement of distribution system efficiency through the optimal operation of EVs and DGs.