Research On Energy Management Control Strategy Of Flywheel Energy Storage Systems For Microgrid

With the rapid development of renewable energy,large-scale grid connection of photovoltaic and wind power generation systems has posed significant challenges to the stable operation of the power grid.Flywheel energy storage,with its high energy density and rapid response,plays a key role in improving the reliability and quality of power supply.This paper focuses on the energy management control strategy of flywheel energy storage system,and conducts research on flywheel energy storage unit(FESU),photovoltaicflywheel energy storage system,and flywheel energy storage array system(FESAS).The main contents are as follows:(1)The mechanical structure of the flywheel energy storage device was designed,and the permanent magnet synchronous motor model of the FESU was established.The decoupling control,vector control,and space vector pulse width modulation methods were used to design the charging and discharging control of the FESU.The FESU simulation platform was built using Matlab/Simulink to verify the feasibility of the control strategy.(2)The mathematical model of photovoltaic cells was established,and the photovoltaic cell controller was designed using maximum power point tracking technology.Combining with the FESU control model,the photovoltaic-flywheel energy storage system model was constructed.The feasibility of the control strategy was verified through the simulation platform,and the stable operation of the load was ensured by the charging and discharging control of the FESU when the output of the photovoltaic cells fluctuates.(3)For the FESAS,the charging and discharging model of the FESAS was established by defining the state of charge(SoC)and energy state of the flywheel unit.A distributed cooperative controller was designed based on the average energy state estimator(AES)and the average desired power(ADP)estimator to enable each unit of the flywheel array to collectively provide the required total power,and dynamically balance the charging and discharging states of each unit.The feasibility of the distributed cooperative control algorithm was verified using the FESAS platform built in Matlab/Simulink.(4)Through extensive simulation research,the effects of SoC balancing strategy,network connectivity,and number of intelligent agents with information on the performance of the controller were analyzed.The simulation results showed that the SoC balancing strategy ensures the consistency of the charging and discharging rates of each unit,and the communication network topology affects the convergence speed of the AES estimator and the ADP estimator and is related to its characteristic values.Finally,the robustness of the distributed cooperative controller to communication network interruptions was analyzed,and the strong resistance of the distributed cooperative controller was verified.This paper focuses on the energy management control strategy of flywheel energy storage systems for microgrids,providing new ideas for improving the reliability and quality of microgrid power supply.