Research On Consensus Of Multi-Agent Distributed Energy Resources Dispatching Control Under Communication Constraints

Climate change and environmental concerns have made distributed energy resources of increasing interest in power systems,but it is widely distributed,small in scale,and large in quantity,so it is difficult to use the centralized control of traditional power grids to regulate it.The distributed energy resources system can be regarded as a multi-agent system to a certain extent,and each power generation unit can be modeled as an agent,so the distributed optimization algorithm of the multi-agent system can be used to realize the coordinated and optimal operation of the distributed energy resources system.Moreover,there are complexities of communication and limitation of computing capability in practical systems,a distributed dispatching control strategy which can adapt to complicated communication environment and reduce the communication pressure has inspired value and practical significance for the optimal configuration of distributed energy resources systems.This paper mainly studies the consensus dispatching control of distributed energy resources system under communication constraints.The main contents are as follows:First,for the economic dispatching control of distributed energy resources system,this paper aims to minimize the fuel cost and environmental cost.Under the condition that the supply-demand balance and power generation constraints are satisfied,a consensus algorithm that can converge in a limited time is designed using the incremental cost of each power generation unit as the consensus variable.Second,in the actual communication network,considering that the distributed generation unit has communication delay when transmitting information,the economic dispatching control model of distributed energy resources system under the influence of delay is studied.The Leader-Follower algorithm and the fully distributed algorithm are discussed according to whether there is a leader or not,and the differences in convergence speed and robust performance between the two are compared through various simulation scenarios.Finally,when the information interaction between distributed energy resources is affected by both delay and noise,a robust consensus algorithm is proposed,which suppresses the impact of delay and noise on economic dispatching control by introducing a consensus gain function.In order to measure the robust performance of different network topologies in non-ideal communication environments,the square of the robust performance metric H₂norm is introduced.A direct connection between the communication topology and the robust performance index is established,and the robust performance of the typical communication topology is compared through simulation analysis.In this paper,MATLAB simulation analysis is used to verify the research on various distributed consensus control strategies of distributed energy resources system.Through numerical example simulation,the accuracy and validity of the finite-time consensus dispatching control algorithm under ideal environment,the distributed control algorithm under the influence of delay,the robust consensus algorithm under the joint influence of delay and noise,and the robust performance indicator are verified by example simulations.