Research On Optimal Dispatching Strategy Of Vehicle-Grid Collaboration Adapted To New Power System

A new power system based on new energy sources is the only path to solve the sustainable development of energy in the future.However,the uncertainty of high proportion of new energy output makes the safe and stable operation of the power system face great risks and challenges.Therefore,it is necessary to fully mobilize all kinds of flexible resources to achieve multiple interactions between source,network,load and storage,and to guarantee the safe and stable operation of the new power system based on new energy.With the rapid iteration of new energy vehicle technology and policy support,vehicle electrification is considered as one of the important components to solve the flexibility needs of the new power system.Therefore,the optimal scheduling strategy of vehicle-grid collaborative adapted to the new power system becomes one of the current hot topics.To address this problem,based on an extensive review of relevant literature,this paper firstly researches the principles and characteristics of wind power and photovoltaic power generation,establishes a reconstruction model of new energy output considering forecast errors,and proposes a time division method and time-ofuse tariff mechanism based on net load.Secondly,to address the drawback that the traditional Monte-Carlo method cannot accurately simulate the charging demand of EVs,through the analysis of EV replenishment mode and charging control mode,this paper adopts the kernel density function to fit the influencing factors of user travel,describes the coupling of each influencing factor through Copula function,proposes the charging probability model considering the uncertainty of user charging,and establishes the improved Monte-Carlo method to predict charging load.On this basis,a two-layer optimal dispatching strategy model of vehicle-grid collaboration adapted to the new power system is proposed,in which the upper transmission grid layer strategy is combined with the time-of-use tariff mechanism based on net load to coordinate and optimize thermal power units,new energy units,base load and EV load to obtain the results of orderly charging and discharging time sequence of EVs with minimized operation cost.Based on the upper operation results,the lower distribution network layer strategy obtains the EV charging and discharging load space allocation solution with the objective of minimizing network loss,which ensures the safety and economics of system operation.Finally,the validity of the model and method is verified by an example.