Research On Optimization Dispatch Of Regional Integrated Energy System With Electric Vehicles

With the features of multi-energy complement and energy cascade utilization,integrated energy system has been a research focus worldwide.With the strong support of national policies,the electric vehicle industry in China has developed rapidly in recent years,led to the gradually increase of charging loads.Integrated energy system has the ability of multi-energy complement and interaction of energy supply and demand,which contributes to mining the demand response potential of large-scale electric vehicles.The collaborative optimization dispatch between integrated demand resources and integrated energy system will be the important research direction in the future.It’s of vital significant to reduce energy consumption level,improve energy utilization efficiency and promote the friendly connection between electric vehicles and power grid.This paper focuses on the collaborative optimization dispatch of region integrated energy system with electric vehicles.The main tasks are shown as follow:(1)For community integrated energy system,this paper studies the ability of electric vehicles to participate in the integrated energy management of the system as a new kind of market entity.The model of integrated community energy system with community energy operator,user with photovoltaic and electric vehicles charging agent is established,and the energy consumption attribute of each market entity is analyzed.The integrated energy management strategy based on the non-corporative trading of three market entities is proposed.In the contained collaborative market trading mechanism,the community energy operator is the dominator and the rest of the market entities are the followers.This model is solved by an improved particle swarm optimization algorithm.The simulation of a business integrated community energy system is carried out to verify the effectiveness of the proposed method.The proposed method is able to realize the reasonable allocation of different energy resources in community,reduce the cost of energy loads,and the electric vehicle charging agent can promote the consumption of photovoltaic resources in community.(2)For building integrated energy system,this paper studies the ability of electric vehicles to participate in optimization dispatch through integrated demand response as shiftable loads.The model of integrated building energy system which contains of building energy operator and two types of energy users is established.A dual-logarithm demand response model of electric vehicles based on the guide of energy price is proposed,and the collaborative operation mechanism with the demand response of electric vehicles is analyzed.A day-ahead optimization dispatch method which aims at maximizing the profit of building energy operator is proposed.Under the quoted energy price from energy operator,electric vehicles are able to transfer its own charging load through demand response.Case simulations are carried out for three scenarios: pure electric buildings,integrated building energy system without demand response,and integrated building energy system with demand response.The simulation results demonstrate that electric vehicles can reduce their own charging costs and promote the consumption of photovoltaics accessed to the building,and the energy cost of energy loads in the building can be significantly reduced.The method proposed in this paper is able to optimize the deploy of power resources and energy loads at the end lever of multienergy users.(3)For integrated energy system in multi-island scenarios,this paper studies the ability of electric vehicles to provide system emergency reserve capacity as reducible loads and energy storage devices.The emergency reserve strategy of electric vehicles in electric-island scenario,gas-island scenario and all-island scenario is analyzed.Electric vehicles can reduce charging loads of its own and discharge from battery to the system,and maintain the balance of energy supply and consumption.A real-time optimization dispatch method which electric vehicles provide emergency reserve capacity is proposed,and the applicability of this method is described in different island scenarios.Case studies are carried out in three different island scenarios,and the malfunction time is under the extreme rainy and snowy weather and the lowest energy storage capacity of electric vehicles.As the reducible loads,electric vehicles are able to provide the additional operation space for important electric and thermal loads in the system.As the energy storage devices,electric vehicles are able to discharge to the system so as to maintain the system operation.