Simulation Study On Grid-related Performance Of Compressed Air Energy Storage Power Generation Syste

With the development of advanced adiabatic compressed air energy storage（AA-CAES）technology,Jiangsu Jintan salt cave AA-CAES and other AA-CAES demonstration projects have achieved grid-connected power generation.AA-CAES system has excellent auxiliary service characteristics,multi-energy joint supply and storage capacity and other advantages.It can also be applied to participate in frequency regulation auxiliary services,help power system rapid recovery and other scenarios,in addition to providing basic power support to the grid.However,at present,there is little research on the network-related performance of AA-CAES units dumping load conditions and participating in frequency regulation auxiliary services,which cannot give full play to the advantages of AA-CAES power plants and is not conducive to the construction of modern intelligent power systems.The thesis firstly takes the 10MW AA-CAES demonstration power plant as the research object,establishes the AA-CAES system model and distribution network model as well as the unit control system and frequency regulation auxiliary service unit control system under load shedding condition through APORS simulation platform,and verifies the system model accuracy,unit control system and frequency regulation auxiliary service unit control system function under load shedding condition.The results show that the system model is able to fit the real system data well and the control system model function can be accurately carried out for subsequent simulation experiments.Then,the operation mode of AA-CAES system after load rejection condition and the influencing factors of load rejection condition are analyzed,the emergency exhaust system is designed,and the influence of common control strategies of emergency exhaust value,adaptive control strategy of emergency exhaust value and optimal opening strategy of emergency exhaust value predicted by BP neural network on the generator speed control index and power oscillation is compared.The results demonstrate that without any control strategy,the generator speed soars significantly and the generator takes longer time to recover stability.With the common control strategy of emergency exhaust valve,the generator speed can be greatly reduced after load shedding into the idling mode,but with the reduction of power generation before load shedding,the minimum generator speed drops significantly and the generator speed takes longer time to stabilize,and after load shedding into the self-contained.Under plant power conditions,the maximum generator speed can be controlled within a reasonable range,but the power generation and generator speed have a large overshoot.While the use of an adaptive emergency exhaust valve control strategy can effectively reduce the maximum speed,improve the smoothness of the generator speed and power during regulation,reduce the overshoot,shorten the stabilization time and reduce the amount of system gas replenishment;the use of BP neural network prediction method,the BP neural network prediction method can achieve the ideal response of the generator speed when the unit is running in wide operating conditions and entering into different operating modes after the occurrence of load shedding conditions.Finally,the thesis introduces the principles and characteristics of the rules of primary and secondary frequency regulation in power systems,and describes the basic workflow and relevant performance parameters of Automatic Generation Control（AGC）in power systems,which discusses the implementation of AGC functions in the AA-CAES system and the modelling process in the APROS simulation platform,through the interpretation of the"rules of a local frequency regulation auxiliary service market transaction",in the APROS simulation platform,the participation of the traditional method of frequency regulation auxiliary service and the multi-stage segmentation setting PID control parameter method with wide operating conditions are simulated using the comparative analysis method.The results confirm that the units participating in frequency regulation in the very operating load section will generate assessment power due to the regulation rate K₁ not meeting the requirements,causing economic losses to the AA-CAES power station,the control strategy of using multi-stage segmentation to set PID controller parameters solves the problem of assessment power generated by using a single set of PID controller in the process of frequency regulationThe model developed in this thesis and the results of the study provide an effective reference for the design of high-capacity AA-CAES expansion power generation systems to cope with load shedding conditions units and participate in frequency regulation auxiliary services to adapt to power system development,and promote the grid-connected AA-CAES demonstration projects to better realize multi-scenario applications,with important engineering application value.