Research On Predictive Control Strategy For Distributed Model Of Microgrid Based On Event Triggering Mechanism

In the 21st century,the traditional distribution network structure will change as more and more distributed power sources are connected to the distribution network.The massive application of modern power electronics in distributed power generation also leads to the generation of many harmonics that affect the power quality,which will also affect the safe operation of the distribution network and hinder the utilization of more renewable energy.Microgrids provide a new way of thinking for the use of renewable energy.Microgrid can make full use of the characteristics of renewable energy,which is the key for people to use green energy and protect the environment in the future.Through theoretical analysis and simulation model,this paper will study the construction and results of distributed and coordinated control strategy for microgrid.In this paper,firstly,the conventional inverter control models in islanding and gridconnected modes are analyzed and established from the micro power inverter control mode,where the islanding control strategy is based on sag characteristic control and the grid-connected control strategy is based on P/Q control.Secondly,the principle of model predictive control is introduced to establish the inverter control method based on model predictive control,and the performance of traditional PI controller is compared with that of model predictive control controller,and the results show that the model predictive controller has better control effect on the output power and frequency/voltage of micro power supply.Then,an event-triggered controller is designed with the goal of optimizing the microgrid power distribution.The designed event-triggered condition ensures the system stability,verifies that the controller does not show Zeno phenomenon,and analyzes the impact of the threshold value of this event-triggered controller on the power regulation capability and network communication volume.Simulation experiments prove that the proposed two-layer control strategy can improve the control ability of power,voltage and frequency when the communication network layer or physical layer of the microgrid system encounters unexpected events,and also reduce the computational and communication costs.