Research On Energy Optimal Scheduling Strategy Between Charging Stations In Microgrid Based On Energy Internet

In recent years,the continuous growth of energy consumption and rapid economic development have brought about increasingly serious problems of energy depletion and environmental pollution.Replacing internal combustion engine vehicles with electric vehicles and replacing the traditional centralized power supply process with energy Internet can reduce carbon emissions and promote the efficient use of renewable energy.Distributed energy has also been introduced into the grid in large quantities because of its clean and pollution-free characteristics.However,the large-scale addition of electric vehicles and distributed energy to the power grid has affected the security and stability of the power grid,and has also led to the abandonment of wind and solar.The emergence of microgrids has opened up a feasible way for the comprehensive utilization of electric vehicles and renewable energy.As a mobile distributed energy source,electric vehicles can be either a demand load or a mobile energy storage system.Therefore,electric vehicles can focus on time and space charge and discharge scheduling.Based on this,this paper configures the charging stations in the microgrid as a group of buildings,and studies the optimal scheduling strategy of electric vehicles in the charging station in terms of time and space.Connecting electric vehicles to the microgrid as an impact load will not only affect the stability of the microgrid,but also increase the electricity cost of electric vehicle users.The first key issue of this paper is to study the real-time optimal dispatching strategy of electric vehicles at a single charging station in a microgrid from the perspective of time.First,the real-time electricity price response function of electric vehicles is constructed,and the charging and discharging price is used as a lever to guide users in orderly charging and discharging in real time.Then,a real-time charging and discharging model of electric vehicles is established,and the genetic algorithm is used for simulation.The results of calculation examples show that the proposed realtime charging and discharging optimization model and decision-making for electric vehicles can effectively reduce the peak-valley load difference of the microgrid,reduce the day-a-day power generation backup cost of the microgrid,and reduce the electricity cost for users participating in V2 G services.On the basis of the research of the first key issue,the second key issue of this article is from the perspective of space,and studies the energy optimization dispatching strategy of electric vehicles among N charging stations in the microgrid.First,on the basis of adjusting the flexible power demand of the microgrid,a demand-side electricity price response function is established.On this basis,an energy optimal dispatch model between N charging stations in the microgrid is established.Using genetic algorithm for simulation and verification,the optimal energy dispatching strategy among N charging stations in the microgrid can be obtained.The strategy shows that the spatial dispatch of electric vehicles not only solves the uncertainty of distributed energy generation,but also effectively alleviates the load fluctuation of the microgrid,reducing the operating cost of the microgrid and the cost of electricity consumption for users.