Event-triggered distributed MPC for resilient voltage control of an islanded microgrid

TL;DR

This paper proposes an event-triggered distributed model predictive control scheme for islanded microgrid voltage regulation, reducing communication and computation loads while maintaining control performance through novel triggering conditions and adaptive observers.

Contribution

It introduces a novel event-triggered DMPC framework with adaptive observers for resilient voltage control in islanded microgrids, improving efficiency and robustness.

Findings

Significant reduction in communication and computation burdens.

Effective voltage regulation demonstrated on IEEE-13 test system.

Robustness of control under various scenarios confirmed.

Abstract

This paper addresses the problem of distributed secondary voltage control of an islanded microgrid (MG) from a cyber-physical perspective. An event-triggered distributed model predictive control (DMPC) scheme is designed to regulate the voltage magnitude of each distributed generators (DGs) in order to achieve a better trade-off between the control performance and communication and computation burdens. By using two novel event triggering conditions that can be easily embedded into the DMPC for the application of MG control, the computation and communication burdens are significantly reduced with negligible compromise of control performance. In addition, to reduce the sensor cost and to eliminate the negative effects of non-linearity, an adaptive non-asymptotic observer is utilized to estimate the internal and output signals of each DG. Thanks to the deadbeat observation property, the observer can be applied periodically to cooperate with the DMPC-based voltage regulator. Finally, the effectiveness of the proposed control method has been tested on a simple configuration with 4 DGs and the modified IEEE-13 test system through several representative scenarios.