2020
DOI: 10.1109/tsg.2020.2966244
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Optimal Damping Recovery Scheme for Droop-Controlled Inverter-Based Microgrids

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Cited by 16 publications
(12 citation statements)
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“…The main purpose of this control is to protect the device from unrealistically large currents. In addition, there have been stability studies for not only determining the stable region by adjusting the droop ratio of conventional P-f and Q-V droop controls [11]- [12] but also for calculating the damping ratio automatically to reduce the oscillations [13]. However, the proposed methods might not be feasible to implement in a single bus.…”
Section: B Literature Reviewmentioning
confidence: 99%
“…The main purpose of this control is to protect the device from unrealistically large currents. In addition, there have been stability studies for not only determining the stable region by adjusting the droop ratio of conventional P-f and Q-V droop controls [11]- [12] but also for calculating the damping ratio automatically to reduce the oscillations [13]. However, the proposed methods might not be feasible to implement in a single bus.…”
Section: B Literature Reviewmentioning
confidence: 99%
“…The main purpose of this control is to protect the device from unrealistically large currents. In addition, there have been stability studies for not only determining the stable region by adjusting the droop ratio of conventional P-f and Q-V droop controls [5], [6] but also for calculating the damping ratio automatically to reduce the oscillations [7]. However, the proposed methods might not be feasible for application in a complicated real power system, and the droop coefficient must be reassessed and updated whenever the system configuration is changed.…”
Section: B Literature Reviewmentioning
confidence: 99%
“…12(b). For voltage regulation, the VMS control changes the real and reactive powers based on the sensitivity in (7), as shown in Figs. 12(f) and (j).…”
Section: B Load Changes With Constraint Of Real Power Generationmentioning
confidence: 99%
“…Operators may not have a full analytical model available for the power system. If a model is available, the process involves the repeated computation of the eigenvalues of the system matrix for a wide range of control choices, making the process unscalable to large systems [9]. Secondly, time-domain simulations (based on numerical models of the system components) can be used to classify each point in the control parameter hyperspace.…”
Section: Introductionmentioning
confidence: 99%
“…However, for SRD, researchers have primarily relied on analytic models, which are computationally challenging and therefore unsuitable for online implementation. For instance, power systems with inertia-free generation tend to have lower time constants (∼100 ms), while SRD could take several seconds, depending on the size of the system [9].…”
Section: Introductionmentioning
confidence: 99%