The Flywheel Energy Storage Based On Neural Network Adaptive Control Of Auxiliary Gas-steam Combined Cycle Unit FM Characteristics Research

With the gradual development of China’s economic level and the continuous improvement of people’s living standards,China has higher and stricter requirements for the energy industry.It is necessary to have higher standards for environmental protection and energy consumption,and the The development of clean energy is well in line with the current national policy,but it is vulnerable to external environment due to its instability.Large area grid connection will have an impact on the power grid,and the frequency of the broken ring power grid is stable,so as to produce a huge gap in frequency regulation and peak shaving capacity.The traditional thermal power unit has large thermal inertia and is not suitable for frequent change of unit output,which will greatly affect the safe operation of the unit.In addition,the peak regulation and frequency modulation task can be better carried out with flexibility transformation,which will greatly affect its economy.The gas-steam combined cycle has a fast response time and is conducive to peak regulation.The load change is more sensitive than that of thermal power units and is more suitable for peak regulation and frequency regulation.However,most of the CCPP units in China are single-shaft gas-steam combined cycle units,and the coaxial bearing components are too complicated to complete the peaking and frequency modulation task well.The flywheel energy storage system has the advantages of rapid response,fast climbing speed and high energy conversion efficiency.The frequency regulation of the auxiliary CCPP unit can improve the response rate and regulation accuracy under the demand of protecting the unit and saving energy.Therefore,it is of great significance to study the frequency regulation of flywheel assisted CCPP unit.However,due to the high cost and small capacity of the flywheel,optimizing the flywheel control system structure can increase the overall economy and the advantages of the flywheel under the same capacity.Based on this,this paper optimizes the flywheel control system by neural network adaptive PID system.This paper introduces the significance and research status of secondary frequency regulation of gas-steam combined cycle,and expounds the research background,significance and research status of frequency regulation of flywheel energy storage system assisted gas-steam combined cycle unit.Subsequently,the mechanism of primary frequency regulation and secondary frequency regulation of power system is expounded,and the specific frequency regulation process of gas-steam combined cycle unit is studied.Based on the coordinated control system of gas-steam combined cycle,the internal components of CCPP are modularized in MATLAB/simulink,such as gas turbine module,steam turbine module and waste heat boiler module.Based on the principle of permanent magnet synchronous motor,the flywheel energy storage system is built.Finally,the flywheel energy storage and CCPP system of regional power grid are jointly involved in the secondary frequency regulation analysis and verification,and the results are obtained.According to the adaptive characteristics of neural network,the PID control in the outer voltage loop of the flywheel energy storage system is added.The neural network algorithm model is added to adaptively train the three parameters of the controller KP,KI and KD,so that the flywheel energy storage system can better adapt to a requirement of the time series model.The frequency modulation performance difference between the trained PID control and the traditional PID control is verified and compared.