Modeling And Optimization Of Peak-valley Price Considering V2G User Reactivity

At present,worldwide energy shortage and environmental pollution have got worse.The transformation of low carbon economy is imperative.To achieve clean energy substitution and power substitution has become the focus of transformation. Electric vehicles have been paid more attention because of their great advantages in saving energy, improving environmental, economic transition and so on. Many countries and regions encourage and support infrastructure construction of electric vehicles.Along with the rapid development of energy interconnection,we also vigorously support and guide the development of the electric vehicle industry in China.However,due to the random nature of electric vehicles charging/discharging, large-scale loads of electric vehicles into the power grid without passing the reasonable guide and control will affect the normal operation and development of electric power system.It will cause damage of the system between supply and demand, the decline of power quality, economy and security and so on. Therefore, it is necessary to study the reasonable and effective mechanism of coordinated charging/discharging of electric vehicles.Because coordinated charging/discharging of electric vehicles can realize load shifting and the user reactivity can affect charging/discharging loads of electric vehicles,an optimized model of coordinated charging/discharging for peak-valley time-of-use price by considering V2G user reactivity is presented in this paper. The charging/discharging load of electric vehicle is obtained by Monte Carlo simulation. The function relation between V2G user reactivity and the coefficient of peak-valley price is built.The optimization variables are peak-valley periods range and peak-valley price, and the objective functions are comprehensive consideration of the influence of electric vehicle on load curve peak-valley ratio of distribution network and the way of using electricity satisfaction. An optimized model of coordinated charging/discharging by considering V2G user reactivity is built. The optimal solution set can be found out with multi-objective genetic algorithm based on Pareto.The result of example shows that the optimized model can ease the adverse impact of large-scale electric vehicles to the power grid,improve security and stability of the system operation and reflect the actual situation better by considering the effect of V2G user reactivity on the implementation of coordinated charging/discharging.