Distributed Node Event-triggered Consensus Algorithm For Economic Power Dispatch

Due to the gradual development of new energy,a large number of distributed power sources are connected to the grid,and system instability factors increase.Traditional centralized control methods are no longer sufficient to meet the development needs of modern smart grids.The distributed collaborative control method which often used to solve the consensus of multi-agents can effectively make up for the defects of centralized control because it does not need to use a central controller and a single agent only exchanges information with its neighbors.The main research content of this paper is the application of event-triggered distributed consensus algorithm based on multi-agent system in the field of power system economic dispatch.First of all,this paper extends the multi-agent consensus problem to the multi-agent bipartite consensus problem with antagonistic interactions.Considering the existence of matching deterministic disturbances,a continuous-time output feedback controller based on the disturbance observer is designed,which is used to suppress the negative effects of deterministic disturbances and ensure the system can achieve bipartite consensus.Then,aiming at the limited communication bandwidth in the actual system,a distributed bipartite consensus controller based on event-triggered mechanism is proposed,which can effectively reduce the communication frequency.After that,this paper applies the event-triggered multi-agent distributed continuous-time consensus algorithm to the field of power system economic dispatch.The algorithm does not need to define leaders and followers,and strictly implements fully distributed control.The power system model studied in this paper considers the following three factors.Firstly,considering the environmental factors and power constraints of the generator,the pollutant gas emission function is defined as a quadratic function similar to the cost of power generation.The objective function is the coupling of the two types of functions.The system uses a distributed communication protocol and event-triggered mechanism to make the cost of power generation and pollutant gas emissions reach the minimum under the premise of not exceeding the generator output power threshold.Secondly,considering the transmission losses of the system,from the perspective of optimal power flow,assuming that transmission losses changes regularly with generator power,the generation cost function is still a quadratic function that satisfies the convex characteristics,and the event-triggered distributed consensus algorithm still makes the system achieve economic dispatch quickly.Finally,considering IEHS,for an IEHS containing three types of generators: POD,CHP,and HOD,a DDCA based on event-triggered mechanism is proposed.The protocol enables the consistency of incremental cost and local power mismatch value.The system realizes distributed economic dispatch through four strongly coupled variables,and reduces the communication frequency and energy under the event-triggered mechanism.Through simulation,the feasibility and correctness of the algorithm in the three cases are verified.