Event-Triggered Consensus Algorithm For Distributed Economic Dispatch

The development of new energy,microgrid and smart grid makes the grid system more and more complex.The traditional centralized control can not meet the needs,the centralized scheduling needs to build a large computing center to calculate the entire network of computing tasks,so we can introduce a distributed system.Through communication connection and parallel computation,computation and control decisions can be made locally in distributed system.The development of smart grid has caused the demand for communication to expand rapidly.Once the network congestion will lead to the optimization algorithm can not converge and easy to cause system instability.Therefore,we can further introduce the event trigger mechanism,and the event trigger control gives up periodic sampling,so as to avoid continuous communication between agents and improve efficiency.The economic scheduling problem based on the event trigger consistency algorithm can reach the agreement of the original consistency optimization algorithm when the event trigger is added.Firstly,based on the original consistent economic scheduling optimization algorithm,this paper further studies the consistent economic scheduling optimization algorithm based on event trigger through the theoretical research of the event trigger control method.The disturbance suppression problem of multi-agent based on event trigger control method with matching disturbance and parameter uncertainty is studied.In order to solve the disturbance rejection problem,an observerbased event trigger design method is proposed for the two models.A controller based on algebraic Riccati is proposed for models without parameter uncertainty.Experiments show that the consistency can be achieved without zeno behavior in the presence of external disturbances.Then it is extended to the model with parameter uncertainty.Next,the combination of event-based triggering and consistency algorithm optimization algorithm.Firstly,the consistency optimization algorithm based on event trigger under flexible load is studied.On the basis of the first-order consistency optimization algorithm,an event trigger mechanism is added,and the correctness is proved by simulation.Then,through the research on the consistency of event triggering with parameter uncertainty,the parameter uncertainty is introduced into the algorithm of event triggering consistency,and the correctness is proved by simulation.Finally,on the basis of the consistency optimization algorithm with parameter uncertain event triggering,the influence of environmental factors is considered,and the correctness of the algorithm is also proved by simulation.