Decentralized Droop-based Finite-Control-Set Model Predictive Control of Inverter-based Resources in Islanded AC Microgrid
Ayobami Olajube, Koto Omiloli, Satish Vedula, Olugbenga Anubi

TL;DR
This paper introduces an improved droop control method using finite-control-set model predictive control for inverter-based resources in islanded AC microgrids, enhancing power sharing, voltage regulation, and frequency stability.
Contribution
It proposes a novel FCS-MPC-based droop control approach that overcomes limitations of traditional methods, providing better stability and response in microgrid inverter control.
Findings
Effective power sharing achieved in simulations
Improved voltage and frequency regulation
Reduced oscillations under load changes
Abstract
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…
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Taxonomy
TopicsMicrogrid Control and Optimization · Power Systems and Renewable Energy · Islanding Detection in Power Systems
