Research On Charge And Discharge Optimization Strategy Of Electric Vehicle Considering Battery Loss

The energy crisis caused by the rapid consumption of renewable energy is a problem faced by many countries in the world.Electric vehicle has the advantages of environmental protection,energy saving and high efficiency.With the continuous expansion of electric vehicle(EV)scale,large-scale electric vehicle(EV)charging without sequence will bring operational risks and burdens to the safe operation of the power grid Most of the existing research is the use of time-of-use pricing and other means for electric vehicles to guide the orderly charge and discharge.The research shows that the most obvious effect is when the customer's response is 80%,but the existing scheduling strategies do not consider the effect of battery loss,as a result,many users are reluctant to participate in the scheduling scheme due to battery depletion.Therefore,it is of great application value to study the optimal strategy of orderly charge and discharge considering battery loss,which can make users participate in the scheduling:Firstly,the influence factors of electric vehicle charge and discharge load and the setting of research object are analyzed,and a simplified model of electric vehicle is established.The basic daily load curve was established by the numerical value of the basic daily load in one day.The load curve of electric vehicle(EV)under the condition of disorderly charging and discharging was Monte Carlo method by MATLAB simulation,and the load curve of EV under the condition of disorderly charging and discharging was obtained by combining the daily load of cell base,the results show that the rate of peak-valley difference will increase under the condition of disordered charging and discharging,which will affect the stable operation of power grid.Secondly,based on the Monte Carlo analysis method,only the time-of-use electricity price is considered for orderly control of electric vehicles,and the objective function is optimized with the lowest charging and discharging cost of electric vehicle owners and the lowest peak-to-valley difference rate of the power grid,and the peak-to-valley difference is obtained through simulation.rate,charge and discharge costs,and battery depletion costs.Finally,considering the loss of electric vehicles and the time-of-use electricity price,the optimization goal is to minimize the peak-to-valley difference rate,the lowest cost,and the lowest battery loss cost.Perform simulation analysis.The results show that: 1)When the battery loss is not considered,orderly charging and discharging can achieve the effect of "cutting valleys and filling peaks",but its total cost is high.2)When considering battery loss,although the peak-to-valley difference rate of orderly charging and discharging is slightly higher than that without considering battery loss,and the effect of "cutting valleys and filling peaks" is weaker than the former,the total cost is lower than that without batteries loss situation.