The Collective Motion Model And Synergistic Dispatch Of Electric Vehicle Charging

In recent years,the problem of energy shortage and environmental pollution is becoming more and more serious.Electric Vehicle(EV)is a product of electric energy instead of in the field of traffic.Because of its characteristics of low pollution,low noise and high efficiency,the electric vehicle is developing rapidly in the world.But a large scale electric vehicle access to the power grid,its disordered charging will lead to the peak of the load curve peak in the distribution network,threaten the safe operation of the power system,and reduce the economy of the system operation.In order to solve the above problems,from the perspective of bionics,this paper aims at reducing the variance of equivalent load curve as the target,and uses the theory of cluster motion to study the co scheduling strategy of electric vehicle charging,and uses MATLAB simulation software to verify the feasibility and effectiveness of the designed cooperative scheduling algorithm.The main contents of this paper are as follows:Firstly,the basic problems of cooperative scheduling are analyzed,including the target of cooperative scheduling,the mechanism of synergy effect and the information transfer mechanism of synergistic effect.The theory of cluster motion related,including the concept of cluster motion,the thought and model of the cluster motion,is introduced,and the Vicsek cluster motion model is introduced,and its movement rules are analyzed.And simulation results,using the theory of cluster motion,gives the idea of electric vehicle charging collaborative scheduling.Secondly,the influence factors of electric vehicle charging load are analyzed.Based on the driving habit,charging mode and type of electric vehicle,the charging load model of a single electric vehicle is set up.Then the method and process of charging load calculation for large-scale electric vehicle based on Monte Carlo simulation are given.Finally,a small Beijing is given.The simulation results show that the disordered charging mode of the electric vehicle will further enlarge the difference of the total load peak and valley of the residential district,and produce the peak plus peak phenomenon,which threatens the safe and stable operation of the power grid.Finally,on the basis of the charging load of a single electric vehicle,in order to reduce the variance of the equivalent load curve,a local electric vehicle charging cooperative scheduling model with the distribution network node as the optimization unit is set up.The model is composed of node agent and electric vehicle agent.The electric vehicle agent is based on the node load obtained.Rate information,combining with its own state,using random probability charging algorithm to make the decision to start charging or stop charging;design probabilistic random charging algorithm,including start charging probability algorithm and demand side response algorithm,that is,stop charging algorithm,and use IEEE-33 node system as an example to use MATLAB software for the designed electricity.The algorithm is verified by dynamic vehicle charging cooperative scheduling strategy.The results show that the proposed algorithm can effectively load the load curve and reduce the variance of load curve.The innovation of this paper is the design of distributed random probability charging algorithm.Compared with the traditional centralized scheduling strategy,the algorithm does not need the prediction data of future load,can run on the basis of real-time load data or historical load data,and reduces the computational complexity,and is more suitable for future engineering applications.