Research On Peak Regulation Auxiliary Service Strategy Of Power System With Thermal-storage New Energy Considering Demand Response

In order to accelerate the realization of " dual carbon targets ",China vigorously develops renewable energy based on wind power generation.The installed capacity of wind power generation is expanding and the generation technology is becoming gradual maturity.However,when large-scale wind power generation transmitted energy to power grid,due to the volatility and uncertainty of its output power,it will significantly enlarge the peak-valley amplitude of load.The flexibility of conventional units is difficult to meet the peak regulation needs of the power grid,which leads to the difficulty of peak regulation.It is difficult to solve the problem of peak regulation in China.China needs to take various means to carry out deep peak regulation and alleviate the difficulty of peak regulation.Therefore,one hand,on the basis of existing peak regulation research,this paper continues to excavate the peak regulation potential of traditional thermal power units and battery energy storage power station,and improve the flexibility of power system peak regulation;on the other hand,a neotype peak regulation measure is introduced,such as peak regulation auxiliary service,which is applied to traditional units to reduce the operation cost of the power system and improve the consumption level of wind power generation.The main research contents of this paper are divided into the following aspects:Firstly,this paper analyzes the deep peak regulation cost and operation characteristics of various units at the source side of the power system,and understands the peak regulation characteristics of thermal power units at different load rates and the basic principles of battery energy storage power station.As a theoretical basis for analyzing the deep peak regulation of thermal-storage,this paper studies the peak regulation effect of price-based demand response after the introduction of user satisfaction at the load side,and then fully mobilizes the peak regulation resources at the load side.At the same time,based on the rules of peak regulation auxiliary service market and fuzzy analytic hierarchy process,the pricing strategy of thermal-storage deep peak regulation is given.Secondly,in order to improve the peak regulation enthusiasm of conventional power generation subjects,a dual level optimal dispatch model is constructed from the perspective of market pricing.This model uses the electricity price signal at the load side to guide the inhabitant to actively participate in the adjustment of electricity consumption behavior and reduce the peak-valley amplitude of equivalent load.Based on the thermal-storage pricing model,the source side uses market means to improve the enthusiasm of thermal-storage to actively participate in the deep peak regulation,and constructs the maximum benefit model of thermal-storage.The calculation results show that the dual level optimal dispatch model squeezes out more grid space for wind power generation,and at the same time,it greatly reduces the cost of deep peak regulation by oil injection of thermal power units,and improves the flexibility of system peak regulation.Finally,this paper constructs a multi-level optimal dispatch model from the perspective of market bidding.The upper layer of the model uses price-based demand response to guide users to actively optimize the load curve by changing their electricity consumption behavior.The maximum fitting model of wind power generation and load is constructed to optimize the deep peak regulation capacity and obtain the optimized load curve.In the middle layer,based on the upper optimization results and the wind generation-thermal-storage depth peaking cost model,the overall cost optimal model is constructed to obtain the thermal-storage depth peaking capacity after the active participation of wind power generation.The lower level uses the unified marginal clearing price as a means to optimize the deep peak regulation capacity after wind power,and the lowest electricity purchase cost as the goal to optimize the thermal-storage clearing plan twice,and finally obtains the optimal clearing plan for various types of units.The example results show that the model improves the deep peak regulation ability of the system from multi-aspects,takes into account the multi-benefits,realizes the win-win of source,grid and load peak regulation resources,and further promotes the renewable energy consumption of the power grid.