Distributed Model Predictive Control for Active Power Regulation in AC Microgrids
Junjie Xiao (TU Delft - DC systems, Energy conversion & Storage)
Lu Wang (TU Delft - DC systems, Energy conversion & Storage)
P Bauera (TU Delft - DC systems, Energy conversion & Storage)
Zian Qin (TU Delft - DC systems, Energy conversion & Storage)
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Abstract
This paper concerns the control problem of the active caused by the mismatched impedance in resistive feeders-dominated microgrids. A distributed model predictive control (DMPC) scheme is suggested to regulate the virtual impedance of each involved unit. Moreover, the proposed method benefits resilience to communication failure by designing the communication matrix. Furthermore, it involves propagating information among units in a short period, significantly reducing the communication and computation burden. Finally, the performance of the proposed control scheme is evaluated in terms of its convergence, robustness to communication delay and load variations, resilience to communication failure, and plug-and-play functionality without communication in an inverter-connected system.