Event-triggered model predictive control for grid-connected three-phase inverter. (4th April 2022)

• Record Type: Journal Article
• Authors: Chen, Qianling; Wang, Benfei
• Is Part Of: International journal of system control and information processing. Volume 3:Number 4(2021)
• Page Start: 278
• Page End: 292
• Publication Date: 2022-04-04
• Subjects: GMS -- grid-connected microgrid system -- MPC -- model predictive control -- event triggered control -- computation burden; System design -- Data processing -- Periodicals; Information technology -- Periodicals; 003.5
• Languages: English
• ISSNs: 1759-9334

Abstract

With advantage of dealing with various nonlinear system, model predictive control (MPC) strategy has been applied commonly in power system, however, there is a large computation burden in the traditional MPC strategy. To overcome the shortcoming of MPC, this paper implements event triggered model predictive control (ET-MPC) strategy in grid-connected microgrid system (GMS), which activates MPC once the triggered condition is satisfied; otherwise MPC operation will be stopped. Therefore, it helps to reduce online calculation amount and switching action greatly. To verify the feasibility and superiority of the proposed ET-MPC strategy applied in GMS, the corresponding simulation studies have been conducted in Matlab/Simulink. The various simulation and comparison results, demonstrate the effectiveness of proposed ET-MPC strategy for the GMS.