Event-Triggered Control of Grid-Connected Inverters Based on LPV Model Approach

Wensheng Luo (), Zhiwei Zhang, Zejian Shu, Haibin Li and Jianwen Zhang
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Wensheng Luo: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Zhiwei Zhang: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Zejian Shu: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Haibin Li: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Jianwen Zhang: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China

Energies, 2025, vol. 18, issue 17, 1-21

Abstract: This study aims to develop an event-triggered control strategy of grid-connected inverters, based on the linear parameter-varying (LPV) modeling approach. Regarding the changes in grid voltage, filter capacitance and inductance, and random electromagnetic interference, a stochastic LPV model for three-phase two-level inverters is established. To reduce computation burden, an event trigger with a continuous-time form is adopted to derive the state feedback controller for the LPV plant. Unlike the existing common approach to dealing with event-triggered mechanisms, a predesignated event-triggering threshold is used to determine the triggering instant of the event condition. Using parameter-dependent Lyapunov functions, sufficient conditions reliant on parameters are introduced. Based on the derived conditions, the corresponding event-triggered controllers are engineered to ensure uniform ultimate bounded stability for the resulting event-triggered LPV inverter system subject to exogenous disturbance. The simulation results are presented to confirm the efficacy of the proposed methods.

Keywords: grid-connected inverter; linear parameter-varying (LPV) system; stochastic systems; event-triggered control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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