Decentralized Droop-based Finite-Control-Set Model Predictive Control of Inverter-based Resources in Islanded AC Microgrid
arxiv(2024)
摘要
This paper presents an improved droop control method to ensure effective
power sharing, voltage regulation, and frequency stabilization of
inverter-based resources (IBRs) connected in parallel in an islanded AC
microgrid. In the contemporary droop control algorithm, the distance between
connected inverters affects the effectiveness of the active power-frequency and
the reactive power-voltage droop characteristics which results in poor power
sharing at the primary level of the microgrid. That is, high impedance
emanating from long transmission lines results in instability, poor voltage
tracking, and ineffective frequency regulation. Hence, in this work, we use a
finite-control-set model predictive controller (FCS-MPC) in the inner loop,
which gives efficient voltage tracking, good frequency regulation, and faster
performance response. FCS-MPC is easy to implement in fast switching converters
and does not suffer from computational burden unlike the continuous-set MPC and
is also devoid of issues of multiple-loop, parameter variation, and slow
response associated with conventional droop control methods. We derived the
condition for bounded stability for the FCS-MPC and the proposed method is
tested via a numerical simulation on three IBRs. The results show effective
power sharing, capacitor voltage tracking, and efficient frequency regulation
with reduced oscillations to changes in load.
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