| With the continuous advancement of the reform of the electricity market,the electricity market mechanism is becoming more and more perfect,and the construction of the auxiliary service market is also becoming more and more mature.Electric Vehicle(EV),as a high-quality demand-side resource,can be effectively applied to power system auxiliary services such as frequency regulation by reasonably adjusting its charging and discharging time and charging and discharging power,and can exert good social benefits.and economic benefits.However,due to the huge number of EVC,which are scattered and disordered in time and space,and the uncertainty of user response behavior,it is very difficult to evaluate the dispatchable capacity of Electric Vehicle Cluster(EVC),which direc tly affects the electric vehicle cluster.Auto aggregators formulate scheduling strategies for FM ancillary services.Based on the above background,this paper takes Electric Vehicle Aggregator(EVA)as the research h object,takes the frequency regulation auxiliary service market as the application scenario,and studies the key technologies such as the dispatchable capacity evaluation and scheduling strategy of EVA participating in the frequency regulation auxiliary service.The main work of this paper is as follows:First of all,in view of the small capacity,large quantity,wide spatial distribution,and disordered response of EV monomers,which make it difficult for their monomers to directly participate in FM auxiliary services,based on the concept of EVA,this paper designs a dual EVA participation in the FM auxiliary market.Layer transaction mode.Starting from the operation mode of demand response,this paper summarizes and analyzes the typical mode of EVA participati ng in demand response,and combines the current situation of my country’s electric auxiliary service market to design a two-layer transaction mode for EVA to participate in the frequency regulation auxiliary service market,and analyzes the EVA participation in frequency regulation in detail.The transaction process of auxiliary services provides an operating framework for EVA to participate in frequency regulation auxiliary services.Then,aiming at the difficulty of EVC schedulable capacity evaluation due to the uncertainty of user response,a schedulable capacity evaluation method considering EVC user’s response willingness is proposed.The charging behavior characteristics of electric vehicles were analyzed by the method of probability statistics,and a probability model reflecting the charging behavior characteristics of EVC was established;based on the cloud model theory,the one-dimensional response behavior characteristics of EVC users under the action of response incentive and charging margin were established respectively.On the basis of the Sigmoid cloud model,the one-dimensional cloud is weighted by the entropy weight method,and a two-dimensional Sigmoid cloud model of user response behavior characteristics under the action of response excitation and charging margin is constructed.Combined with the established charging behavior characteristic model and response behavior characteristic model,based on the Monte Carlo Simulation Method(MCSM),a schedulable capacity evaluation method of EVC consid ering the user’s response willingness is proposed,which provides the basis for EVA to formulate the scheduling strategy of frequency regulation service.basis.Through numerical example analysis,the proposed cloud model can effectively describe the uncertainty of user response,and realize the EVC schedulable capacity evaluation when the user’s response willingness is considered.Finally,aiming at the profit maximization of EVA’s participation in the frequency regulation market before the day,an economi cal optimal scheduling strategy for EVA’s participation in the frequency regulation service is proposed.Considering the impact of response incentives on EVA revenue,taking into account the benefits of electric energy arbitrage and frequency regulation,a revenue model for EVA to participate in frequency regulation services is established.Taking this as the objective function,considering the constraints such as user travel needs,the economy of EVA participating in frequency regulation services is establ ished.Optimal scheduling model.Through calculation example analysis,when EVA participates in frequency regulation service for economic optimization scheduling,taking into account the impact of response incentives can significantly improve EVA revenue.The above work provides technical support for EVA to participate in frequency regulation auxiliary services,and provides new ideas for promoting EV as a more effective frequency regulation resource in power systems. |