Event-triggered Deadbeat Predictive Control for DC Microgrid
This paper presents an event-triggered deadbeat predictive control(ETDPC)method for the mitigation of power mismatch in a photovoltaic(PV)-battery-supercapacitor microgrid.The proposed ETDPC method com-bines the event-triggered control strategy and the deadbeat predictive control(DPC)strategy and inherits their ad-vantages accordingly.Based on the topology of the DC microgrid,the state-space model can be built for the design of the triggering condition for the energy management:When the triggering condition of ETDPC is activated,the deadbeat control block of ETDPC will be conducted and the optimal control signal can be generated within one control cycle,so that the DC bus voltage ripple can be reduced based on the fast response to the disturbance;When the state of the DC microgrid cannot satisfy the triggering condition,the deadbeat control block of ETDPC will be suspended to eliminate the redundant computations,so that the computational burden of the DC microgrid energy management can be reduced.Therefore,ETDPC can be fully utilized for battery-supercapacitor hybrid energy stor-age system(HESS)to mitigate the power unbalance between the load demand and the intermittent photovoltaic power generation and stabilize the bus voltage.To validate the effectiveness of the method,various simulations and hardware-in-loop(HIL)experiments are conducted based on a digital simulation system and the HIL platform,which show that the computational burden is reduced by 50.63％compared to the conventional deadbeat predictive control and the voltage ripple is regulated less than 0.73％of the reference.This work provides a reference of the control strategy for microgrid energy management.
Microgridphotovoltaic(PV)hybrid energy storage system(HESS)event-triggered controldeadbeat predictive control(DPC)
万方数据
维普
