  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.
