Optimal Scheduling of Electric Vehicles and Isolated Microgrid based on Differential Search Algorithm

This paper investigates the integrated scheduling of distributed energy resources and electric vehicles in isolated microgrid. The multi-types renewable energy sources management model considering photovoltaic, wind turbine, diesel generator, battery and fuel cell is proposed. The objective of the proposed optimal scheduling problem is to minimize the total cost of operational cost and environmental management cost. Besides differential search algorithm approach to the optimal scheduling problem is applied. A case study with an isolated microgrid including a fleet of electric vehicles is used to illustrate the performance of the differential search algorithm. The results show that the proposed coordinated scheduling strategy of microgrid with electric vehicles satisfies economic goals and differential search algorithm has competitiveness to traditional intelligent algorithm in solution for scheduling of microgrid.