Distributed Generation Management in Smart Grid with the Participation of Electric Vehicles with Respect to the Vehicle Owners’ Opinion by Using the Imperialist Competitive Algorithm

In this paper, a modified version of Imperialist Competitive Algorithm (ICA) is proposed for the optimal energy management Microgrid (MG) with Parking Lots (PL) and Distributed Generation (DG) units. A 24-h scheduling participation in DG units electric vehicles PLs two scenarios done. The are divided into seven group that each has different trip behavior. Therefore, should be done such way as to minimize operating costs according charging status well production capacity distributed generation sources. Finally, results reviewed separately compared. simulation proved effectiveness method. MG operation cost decreased about 63%. Also, optimization results. by ICA algorithm compared genetic (GA) particle swarming (PSO) algorithms. confirm better performance GA PSO