ANN driven FOSMC based adaptive droop control for enhanced DC microgrid resilience
Zaman, Taimur and Feng, Zhiwang and Mitra, Sanjib and Syed, Mazheruddin and Karanki, Srinivas and Villa, Luiz and Burt, Graeme M. (2024) ANN driven FOSMC based adaptive droop control for enhanced DC microgrid resilience. IEEE Transactions on Industry Applications, 60 (2). pp. 2053-2064. ISSN 0093-9994 (https://doi.org/10.1109/TIA.2023.3328577)
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Abstract
Parallel operation of power converters in islanded DC microgrids exhibits significant trade-off in voltage regulation and current sharing with conventional droop control. The converters exhibit inaccuracies in proportionate sharing of current when subject to heavy and transient loading while sharing a common bus. Moreover, the inaccuracies further persist due to unmodeled dynamics, parametric uncertainties, disturbance in the system and communication reliability. Therefore, the resilient parallel operation of power converters in DC microgrids requires a robust and fast control strategy that can mitigate the effect of disturbances and maintain regulated bus voltage with proportional current sharing amongst the power converters. Consequently, this work proposes a novel ANN driven droop control for a DC microgrid to enhance the transient response and mitigate disturbance in finite time. Two controllers based on adaptive droop strategy are proposed; the primary controller is a generalized Hebb's learning law-based PI integrated controller that can adjust the gains in real time for finite-time disturbance compensation in the networks and the secondary control regulates the bus voltage using fractional order sliding mode control. The effectiveness of the proposed method is evaluated by simulation and experiment and compared with the conventional and distributed droop control methods, proving its robust and adaptive performance for resilient DC microgrid applications.
ORCID iDs
Zaman, Taimur ORCID: https://orcid.org/0000-0002-4319-7072, Feng, Zhiwang ORCID: https://orcid.org/0000-0001-5612-0050, Mitra, Sanjib, Syed, Mazheruddin ORCID: https://orcid.org/0000-0003-3147-0817, Karanki, Srinivas, Villa, Luiz and Burt, Graeme M. ORCID: https://orcid.org/0000-0002-0315-5919;-
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Item type: Article ID code: 87176 Dates: DateEvent1 March 2024Published30 October 2023Published Online24 October 2023AcceptedNotes: Copyright © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Science > Mathematics > Electronic computers. Computer scienceDepartment: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 06 Nov 2023 13:03 Last modified: 28 Nov 2024 01:27 URI: https://strathprints.strath.ac.uk/id/eprint/87176