Economic Dispatch And Optimal Allocation Of Microgrid System Including Electric Vehicles

With the increasing depletion of fossil fuels and prominence of environmental issues,microgrid technology is drawing more and more attention beyond the traditional forms of power generation;and electric vehicles(EVs)as a green travel tool is also gradually being promoted beyond the traditional fuel vehicles.In this context,to study the impacts of EVs to the microgrid planning and operation optimization,has a very important theoretical significance and engineering value.At first,this paper study the operation principle of the distributed energy in microgrid,and establish the mathematical models of wind turbine generators,photovoltaic arrays,fuel cells,diesel generators and batteries.And based on the characteristics of EVs,we establish the load models of EVs under the autonomous charging mode and the coordinated charging and discharging mode.This work lays a foundation for following research.Then,considering operation constraints,the multi-objective economic dispatch models of a microgrid including vehicle to grid(V2G)are established.Objectives include the lowest operating cost,the least carbon dioxide emissions,and the lowest pollutant treatment cost.In the static economic dispatch study,elitist non-dominated sorting genetic algorithm(NSGA-II)is used to analyze the relationship of the three objectives.In the dynamic economic dispatch study,we use an improved particle swarm optimization algorithm(PSO)to solve the dispatch model under different operation control strategies.With the example system,the proposed models and strategies are verified and analyzed.At last,this paper studies the optimal allocation of a hybrid AC/DC microgrid.Considering the objectives of life-cycle cost,self-balancing capability and converter losses,the optimal allocation model including EVs and matching operation control strategy is proposed.The model is solved by NSGA-II.Based on the example simulation,the impacts of different EVs charging modes are analyzed and the EVs demand response function is discussed.