Microgrid event trigger optimization and control based on asynchronous-sampling data system approach

As an important part of modern power system, microgrid has received more and more attention because of its flexibility, stability and independent operation. For the proposed microgrid model, network control systems (NCSs) are introduced, and linear quadratic gaussian (LQG) controllers are designed. The asynchronous sampling data system method is adopted to establish an event trigger system, and an optimization method based on event trigger is proposed, and the delay caused by the network in the channel and the interference in the model are considered. Set the cost threshold as the trigger condition, use particle swarm optimization (PSO) to balance the control cost and communication cost, reduce the event rate, and save communication resources. The simulation results verify the effectiveness of the controller and optimization method.