Research On The Regulation Strategy Of Orderly Charging And Discharging Of Electric Vehicles Considering Renewable Energy Access

The introduction of the “double carbon” target has led to the urgent need for structural transformation and green and low-carbon transformation in China’s energy and electricity industries and traditional transport sectors.With the scale of grid-connected wind power and the increasing number of Electric Vehicles(EVs),the power system is also facing difficulties in regulation and control,curtailing wind and other operational stability and economic problems.As EVs have the property of adjustable charging and discharging loads,large-scale grid-connected EVs can serve as an important flexible and adjustable resource on the grid side.By studying an effective synergistic dispatching strategy for EVs and renewable energy,the flexible and adjustable potential of EVs can be given full play,promoting efficient and stable operation of the power system on the one hand,and effectively improving the economics of EV charging and discharging on the other.This paper takes into account the travel characteristics of EVs,the willingness of users to participate in regulation,the EV carbon quota and the response characteristics of EV charging load,and focuses on the orderly charging and discharging control strategy of EVs under renewable energy access and the strategy of using EVs to dissipate curtailed wind.(1)For the travel time uncertainty of electric vehicles,an improved kernel density estimation method with adaptive bandwidth is proposed to fit the probability distribution of the starting travel time,stopping time and distance travelled of electric vehicles;for the travel space uncertainty of electric vehicles,the travel chain theory is used to describe the spatial transfer characteristics of electric vehicles.In this way,the spatio-temporal parameter distribution model of EV user travel is established.(2)Based on the travel characteristics of electric vehicles and the willingness of users to respond,an orderly charging and discharging strategy for electric vehicles is proposed that integrates the dynamic update mechanism of charging tariff and carbon quota revenue.Firstly,based on the base load,distributed power supply capacity and EV dynamic access information,a dynamic update model of EV orderly charging and discharging tariff is established;secondly,based on the dynamic charging and discharging tariff information and state of charge(SOC)at the time of access to the grid,an evaluation model of the economic benefit of EV participation in orderly regulation is constructed,and with the help of fuzzy logic control algorithm;finally,an EV charging and discharging load dispatching model is constructed with the optimization objectives of reducing the dispatching cost of EV users and distribution network load fluctuation,and the optimization model is solved by using a heuristic algorithm.The simulation results verify the effectiveness of this strategy in reducing the charging cost of EV users,improving their willingness to respond and reducing the load fluctuation of the distribution network.(3)In order to achieve the purpose of using the orderly charging of electric vehicles to consume the curtailed wind power,a strategy based on the load-price response characteristics of electric vehicle charging to consume the curtailed wind power by electric vehicles is proposed.Firstly,an EV user autonomous response model is established using the sensitivity of EV users to charging price;secondly,an objective function integrating wind curtailment dissipation,smoothing wind power output fluctuation and fluctuation magnitude is established,and an improved quantum particle swarm optimization algorithm is proposed to solve the optimization model to derive the corresponding dynamic time-of-use tariff for guiding EV users to respond to the orderly charging strategy;finally,the simulation experiment results show that the improved algorithm can effectively improve the convergence speed;the strategy can effectively achieve the purpose of improving the wind power consumption rate of the power system and suppressing the fluctuation of the equivalent wind power output of the system.