Research On Fast Frequency Regulation Strategy For Multi-frequency Regulation Resources Hybrid System

With the announcement of "carbon peak,carbon neutrality" and the establishment of new power system strategic objectives,the continuous increase in the penetration of renewable energy such as wind and photovoltaic(PV)power has led to a significant decrease in the inertia level of the power system,which seriously affects the frequency stability of the power system.Therefore,it is necessary to fully utilize various frequency regulation resources to enhance the frequency regulation capability of the power grid,strengthen the anti-interference ability of the power grid,and ensure the flexibility and reliability of the power system.The main contents of this thesis include the following parts:Firstly,the basic principles of wind power,photovoltaic power and controllable loads are introduced.On this basis,the paper explores the ways in which wind power,photovoltaic power,and controllable loads participate in power grid frequency regulation.Secondly,a cascaded frequency regulation strategy is proposed for the wind-PV-thermal hybrid system.The strategy discusses the cascade action timing when wind,PV,and thermal are connected to the power grid.The chaotic map and competitive swarm optimizer are combined to optimize the dead zone of each frequency regulation resource of wind.PV.and thermal.The proposed cascaded frequency regulation strategy is simulated in the wind-PV-thermal hybrid system to verify its effectiveness in achieving coordinated optimization across multiple time scales.Thirdly,a frequency regulation strategy based on fuzzy predictive control is proposed for the wind-PV-thermal hybrid system.The paper constructs a predictive control mathematical model based on the state space equation,selects the error and control variables and frequency regulation cost as the objective function.The fuzzy rules for parameter selection are designed to adjust the weight of the objective function in real-time.The proposed frequency regulation strategy based on fuzzy predictive control is simulated in the wind-wind-PV-thermal hybrid system to verify its effectiveness.Finally,a multi-objective optimization frequency regulation strategy based on the enhanced competitive swarm optimizer with strongly convex sparse operator is proposed for the wind-PV-thermal-controllable load hybrid system.Using frequency deviation and carbon emissions as objective functions.The enhanced competitive swarm optimizer with strongly convex sparse operator is used to solve the droop coefficients of wind,solar,and fire,and the PI parameters of controllable loads.The proposed frequency regulation strategy is simulated in the wind-PV-thermal-controllable load hybrid system to werify its effectiveness and superiority.