| Regional integrated energy system is a kind of terminal energy supply system coupled with various energy forms such as electricity,gas and heat.It has the characteristics of multi-energy complementation and energy cascade utilization,and is an important research object for the efficient utilization of renewable energy.In recent years,with the encouragement of national policies,China’s electric vehicle industry has developed rapidly,and the dispatching potential of electric vehicles as a demand-side resource is considerable.The regional integrated energy system can dig deep into the demand-side scheduling potential of electric vehicles because of its multi-energy coupling and interaction between supply and demand.Collaborative optimal scheduling of integrated electric vehicles and regional integrated energy systems will be an important research direction in the future,which is of great significance for reducing system energy consumption,improving energy utilization efficiency and promoting the integration of electric vehicles into the grid.In this paper,the source-load coordination optimization of electric vehicles connected to regional integrated energy system is studied.From the spatial point of view,the user-oriented regional integrated energy system can be divided into park level and building level.Among them,the park integrated energy system emphasizes the multi-energy complementation and horizontal cooperation at the source side,but the uncertainty of internal renewable energy output and the mismatch between load and output limit the improvement of energy efficiency and overall benefit of the system.However,the integrated energy building system focuses on the vertical cooperation of the load side participating in the demand response.However,due to the lack of appropriate guidance mechanism in the system,the users’ energy consumption behavior in the system is chaotic,which brings great pressure to the stable operation of the system.Therefore,the research contents are as follows:(1)In order to improve the energy efficiency and overall benefits of the park’s integrated energy system,this paper proposes a multi-objective optimization operation model of the park considering V2 G and wind and light uncertainties.Firstly,the uncertain scenes of scenery in the park are analyzed and processed,and then the objective function aiming at the maximum benefit and the lowest abandonment rate is established.Finally,the TOPSIS-MOBCC decision algorithm is used to simulate and solve the objective function.Simulation results show that V2 G can provide effective backup for unstable power generation of renewable energy at source,improve the total revenue of the park and promote the utilization of renewable energy.(2)In order to guide the energy consumption behavior of load-end users in integrated energy building system,this paper establishes an integrated energy building system model including energy operators and two types of terminal energy users,analyzes the mechanism of electric vehicles participating in system scheduling through load-end demand response,puts forward a master-slave game scheduling strategy of integrated energy building system with construction operators as leaders and electric vehicle users as followers,and establishes a demand response model of electric vehicles under the guidance of energy price.An optimal scheduling model of integrated energy building system based on master-slave game is established,and an example is simulated and analyzed.The results show that electric vehicles can reduce the charging cost,improve the photovoltaic utilization rate of the system and achieve win-win results. |
