Research On Auxiliary Service Compensation Mechanism And Bidding Strategy To Promote Grid Side Energy Storage To Participate In Peak-regulation

The intensive large-scale wind power development in China makes the peaking problem about the integration of wind power increasingly prominent.The battery energy storage system(BESS)for grid side provides a new way to solve this problem due to its characteristics of fast response,high control accuracy and bidirectional adjustment.At present,China is still in the initial stage of marketization.There are still some problems such as insufficient economic advantages and unclear market mechanism,which seriously affect the commercialization of BESS.Combined with the background of inconsistent marketization process in different provinces,this paper takes the grid-side application of BESS as the starting point and then proposes an auxiliary service compensation mechanism to promote BESS to participate in peakregulation before the opening of spot market and a bidding strategy to promote BESS to participate in market transactions after the opening of spot market.(1)Before the establishment of spot market,this paper proposes an peaking compensation mechanism for uniting BESS and thermal units to participate in promoting the integration of curtailed wind power.Firstly,starting from the incentive and equity analysis of peaking compensation mechanism,the reasonable source of peaking compensation is determined.Secondly,based on clustering ideas,a virtual peaking plant(VPP)is constructed by integrating BESS on the grid side,and the supply side is divided into several deep peaking units.Accordingly,a two-stage coordinated optimal dispatching model is constructed.In the first stage,the charging and discharging power of BESS are optimized with the aim of maximizing load-wind power coincidence.In the second stage,the output of thermal units is optimized with the aim of minimizing the system operating cost.Furthermore,a two-layer peaking compensation method based on peaking contribution is proposed.In the outer layer,the coefficient of peaking ability is introduced to correct the Shapley value.In the inner layer,compensation fee is shared equally with peaking contribution.Finally,a regional power system is taken as an example for simulation analysis.The results show the effectiveness of the proposed model and method.(2)After the establishment of spot market,this paper constructs a bilevel market trading decision model with BESS as the strategic subject.Firstly,the transaction mode of grid-side BESS participating in spot market is analyzed.On this basis,synthetically considering grid-side BESS to participate in the day-ahead electric energy market,dayahead auxiliary service market and the intraday equilibrium market,a bilevel trading decision model is established.On the premise of meeting the operating constraints of BESS,the upper layer aims to maximize the income of BESS,generates the bidding strategy for each period and transmits it to the lower layer.The lower layer carries out day-ahead market joint clearing with the goal of maximum social benefit and the intraday market clearing with the goal of minimum system balance cost.The clearing result is returned to the upper layer.Based on particle swarm optimization and CPLEX,model solving method is designed.Finally,a wind-fire-storage test system is used for simulation analysis,and the results verify the feasibility and effectiveness of the proposed model and method.