| The new power system will show a pattern of "scenery-based and multi-source coordination",and an energy storage system with large energy storage capacity,good stability and flexible regulation capacity is urgently needed.At present,there is a lack of research on the regulation optimization of AA-CAES system.Advanced adiabatic compressed air energy storage(AA-CAES)technology has the characteristics of fast response speed,high safety and reliability.It can provide diversified auxiliary services such as peak shaving,frequency modulation,capacity reserve,reactive power compensation and black start on the power supply side,power grid side and user side,and improve the power quality and safety and stability of the power grid.Therefore,indepth study of the key factors of regulation optimization of AA-CAES power generation system is an important issue to enhance power auxiliary service characteristics and market competitiveness of AA-CAES power station.In this paper,a simulation model of 10 MW AA-CAES power generation system is established based on Apros software.In this paper,the key factors of regulation optimization of AA-CAES power generation system are studied from two aspects of regulation capacity and regulation performance by means of theoretical analysis and simulation.The main contents are as follows:Energy storage margin is one of the key factors restricting the adjustable capacity of AA-CAES power generation system.Firstly,considering the limitation of energy storage margin and the dynamic characteristics of gas storage tank and heat storage tank in the process of energy release,the methods for predicting the output of gas storage tank and heat storage tank are studied in this paper.The relationship between the parameters such as gas storage tank temperature,liquid level of heat storage tank and residual generating capacity and remaining generating time of the system is revealed.The measurable and observable residual power generation capacity of the system is realized and verified by simulation.The results show that the error between the calculated results and the actual results is small,and the error of predicting heat storage tank output is less than 1.25%.The methods proposed in this paper is feasible and effective.Then,a control and protection strategy of safe output reduction in the energy release stage of AA-CAES power generation system is studied.In order to deal with the sudden drop of unit load caused by insufficient energy storage allowance which impact the safety and stability of power grid.A safety reduction control model is constructed based on the established system simulation model.The simulation results show that the control strategy can provide the power grid with 2MW emergency safety time above30 min before shutdown,and effectively alleviate the impact of sudden load reduction on the power grid.Then,the grey correlation analysis method was used to analyze the correlation degree of the influence factors such as gas source,heat source parameter change and system body link on response delay and response rate.The results show that the key factors affecting the response delay are intermediate volume and valve action time,and the key influencing factors of the response rate are the changes of gas source and heat source parameters.The influence of each key factor on the regulation performance is analyzed by simulation,and the optimization suggestions are put forward based on the simulation results,which provides a reference for the design optimization and operation control of AA-CAES unit.Finally,considering the advantages and disadvantages of regulation performance under different working conditions,and the key factors affecting response delay and response rate index,a multi-factor grey evaluation method for regulation performance of AA-CAES power generation system is proposed by combining analytic hierarchy process and entropy weight method,which provides theoretical decision-making basis for the regulation optimization design of AA-CAES unit.Based on this evaluation method,the adjustment performance of the five system design operating conditions in the case is comprehensively evaluated and verified by simulation experiments.The evaluation results are consistent with the simulation conclusions,which verifies the feasibility and effectiveness of the proposed evaluation method.It provides more theoretical reference for the comprehensive evaluation of regulation performance in the future. |
