Title: Event-triggered model predictive control for grid-connected three-phase inverter

Authors: Qianling Chen; Benfei Wang

Addresses: Shenzhen Campus of Sun Yat-sen University, School of Intelligent Systems Engineering, Shenzhen, 518000, China ' Shenzhen Campus of Sun Yat-sen University, School of Intelligent Systems Engineering, Shenzhen, 518000, China; Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai, China

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.

Keywords: GMS; grid-connected microgrid system; MPC; model predictive control; event triggered control; computation burden.

DOI: 10.1504/IJSCIP.2021.125158

International Journal of System Control and Information Processing, 2021 Vol.3 No.4, pp.278 - 292

Received: 03 Apr 2021
Accepted: 15 Oct 2021
Published online: 31 Aug 2022 *

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