Whenever the limited communication bandwidth is considered into the design of distributed control for islanded Microgrids (MG), data packet transmission over the communication network might experience even large delays. Choosing aperiodic, rather than periodic, distributed controller may represent a suitable solution to mitigate communication/computational resources waste, with benefits for the limited bandwidth. This article combines a digital predictor-based distributed control scheme with a dynamic event triggered mechanism to deal with the voltage regulation problem in islanded MG undergoing large delays arising from the control over the communication network. To our best knowledge, this combined control scheme has never been investigated till now. Lyapunov-Krasovskii method is employed to derive linear matrix inequality-based stability conditions, whose solution provides the maximum sampling period and event-triggered parameters preserving the stability of the MG. Numerical simulations validate the theoretical findings.
Predictor-based Dynamic Event-Triggered Digital Control for Islanded Microgrids
Caiazzo, Bianca
;
2025-01-01
Abstract
Whenever the limited communication bandwidth is considered into the design of distributed control for islanded Microgrids (MG), data packet transmission over the communication network might experience even large delays. Choosing aperiodic, rather than periodic, distributed controller may represent a suitable solution to mitigate communication/computational resources waste, with benefits for the limited bandwidth. This article combines a digital predictor-based distributed control scheme with a dynamic event triggered mechanism to deal with the voltage regulation problem in islanded MG undergoing large delays arising from the control over the communication network. To our best knowledge, this combined control scheme has never been investigated till now. Lyapunov-Krasovskii method is employed to derive linear matrix inequality-based stability conditions, whose solution provides the maximum sampling period and event-triggered parameters preserving the stability of the MG. Numerical simulations validate the theoretical findings.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

