Economic Dispatching Strategy And Cooperative Optimization Of Regional Combined Microgrids With Integration Of Electric Vehicles

Developing of Electric Vehicles(EVs)has been vigorously supported by institutions and goverments as an important part of promoting low-carbon economy,guaranteeing energy security and improving competitiveness of vehicle industry.However,connection of massive EV charging loads would threaten safety and stability of the grid's operation.On the other hand,charging EVs directly via the grid can't substantially reduce the dependence on fossil enery sources.Under the context of Energy Internet,regional combined microgrid system(RCMS)has the characteristic of flexibility on adjustment and control,utilizing renewable energy sources(RESs)as the main energy generation sources,which supports the safe connection of EVs and provides favourable circumstances for the exploiting of EV's environmental value.In this paper,across-time-and-space energy transmission(ATSET)character of EV is studied in the context of RCMS.Cooperative optimization method of ecnomic dispatching and system configuration is developed,and cooperative optimization of ecnomic dispatching and EV charging/discharging pricing is proposed for the microgrid systems.Details of the reaserches are illustrated as follows:(1)Structure of RCMS and characteristics of energy interaction in the system are analyzed.Concept of EV's ATSET is illustrated,and intelligent economic dispatching strategy of RCMS is proposed based on the characteristic of ATSET.Firstly,output characteristics of RES generation units are analyzed,and an output prediction model is constructed based on artificial neural network(ANN).Then,in the context of RCMS,characteristic of commuting EV's operation is studied.Concept of EV's ATSET is studied and the process of ATSET is detailedly illustrated.Finally,considering ATSET of EVs,optimization method of system's intelligent economic dispatching is presented based on particle swarm optimization(PSO)algorithm,and simulation is performed utilizing an example system to validate the proposed dispatching strategy.(2)Interaction between EVs and RCMS,as well as interaction between RCMS and the grid is studied from the aspect of energy exchanging,and a cooperative optimization method of RCMS's economic dispatching and capacity configuration is proposed.Firstly,impact of EVs' massive integration on the RCMS's economic dispatching and capacity configuration is analyzed.Relationship between system's economic dispatching and capacity configuration is studied and a framework of cooperative interaction between economic dispatching and system capacity configuration is constructed.Then,based on the framework of cooperative interaction,a cooperative optimization method of system's economic dispatching and capacity configuration is proposed,while corresponding mathematical model is established.Finally,simulations are performed based on an example system,and case studies are performed to validate the proposed method.(3)Interaction process among EV users and microgrid operators is deeply investigated,and a cooperative optimization method of RCMS's economic dispatching and EV's charging/discharging prices is proposed.Firstly,mechanism of charging/discharging prices' guiding function on the EV users' charging/discharging behaviors is illustrated,and interaction process among EV users and microgrid operators is studied.Then,a framework of interest gaming among EVs and microgrids is established,and the process of interest gaming is detailedly illustrated.Based on the framework,a cooperative optimization method of RCMS's economic dispcathing and EV's charging/discharging prices is proposed.Finally,a calcaulating example is described and case studies are performed to indicate that the proposed method can improve the efficiency and economy of RCMS's operation.