To address the challenge of limited communication resources in microgrid economic dispatch, this paper proposes an improved dynamic event-triggered mechanism built upon a distributed event-triggered consensus algorithm. Firstly, a dynamic variable is introduced to adaptively adjust the triggering threshold, which effectively reduces the communication frequency between agents, thereby saving communication bandwidth and energy. Secondly, economic dispatch models are established for two scenarios: without generation constraints and with generation constraints. Corresponding distributed control protocols are designed. Thirdly, rigorous and clear mathematical proofs are provided for the asymptotic stability of the system and the exclusion of Zeno behavior. Simulation results demonstrate that the proposed method converges to the optimal incremental cost and power output. Compared with traditional static event-triggered mechanisms, the frequency of event triggering per unit time is reduced by approximately 51%, thereby effectively validating its effectiveness and superiority under multiple constraints.
Fan et al. (Thu,) studied this question.