Electric Vehicle Auxiliary Peaking Strategy And Optimal Scheduling

With the growth of demand for electricity in China’s society and the development of power systems,the problem of peaking of power grids has become increasingly prominent.The large-scale application of electric vehicles,although its charging and discharging will have a series of impacts on the operation of the grid,but at the same time,electric vehicles,as a mobile energy storage unit,provide new technical solutions and implementation paths for power system auxiliary services..Using the "source-load" characteristic of electric vehicle charging and discharging to carry out grid-assisted peak shaving,it can help solve the problem of peak clipping and valley filling of the power grid.The cluster management of electric vehicles is the premise to study the auxiliary peak regulation of electric vehicles.This paper fully combines the dispatching characteristics and cluster characteristics of electric vehicles under active distribution network.By analyzing the influencing factors of users,battery characteristics,charging facilities and control methods,a clustering method based on equal area rule is proposed to make the cluster division more.It tends to be reasonable,which is beneficial for operators to reduce the computational dimension and reduce computing time.The electric vehicle is connected to the grid through V2 G technology,which realizes the two-way flow of energy and information between the vehicle and the network.In this paper,from the perspect ive of correcting the daily load curve of the power grid,the minimum peak load variance is used as the objective function to construct the auxiliary peak regulation of electric vehicles.The optimized model is used to verify the improvement effect of the clustered and scaled electric vehicles on load peaks and troughs,and ensure the safe and stable operation of the power system.Reasonable dispatching of electric vehicles can better help electric vehicles to assist peak shaving and stabilize load curves.This paper constructs a new cluster scheduling system,namely the “scheduling centeroperator-user” three-tier dispatching system,which is centered on the operator,represents the electric vehicle to participate in the auxiliary service bidding,and issues the peaking command to the electric vehicle according to the plan..Aiming at the operator’s control method of electric vehicles,this paper also proposes a charge and discharge load capacity boundary control strategy based on demand response,which can better help electric vehicles participate in peaking and filling valleys.The simulated annealing algorithm is used to verify that the proposed optimal scheduling strategy can achieve the best peaking effect,and the feasibility and effectiveness of the proposed method are verified.