Wang, A., Fei, M., Song, Y. et al. (3 more authors) (2024) Scalable Fuzzy Control for Nonlinear DC Microgrids Under Plug-and-Play Operations. IEEE Transactions on Fuzzy Systems, 32 (8). pp. 4747-4758. ISSN 1063-6706
Abstract
The plugging-in/-out of renewable distributed generation units (DGUs) often alters the microgrid size and coupling terms, resulting in computational burdens and voltage shocks. This paper proposes a novel scalable fuzzy voltage control scheme for nonlinear DC microgrids (DCmGs) composed of DGUs and constant power loads (CPLs) interconnected via power lines. Firstly, a Takagi-Sugeno fuzzy DCmG model with CPL is formulated to capture nonlinear characteristics and diverse transient behaviors. Secondly, a scalable fuzzy control approach is developed to mitigate negative coupling effects of power lines. This is achieved by a novel argument that leverages dissipativity theory to transform such effects into linear matrix inequalities (LMIs) and subsequently imposes constraints on their sequential principal minors. Specifically, the proposed control method operates locally and independently of other DGUs and line couplings, enabling seamless plug-andplay (PnP) operations without updating any controllers. Finally, theoretical results are validated through simulations using the MATLAB/SimPowerSystems toolbox
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 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. |
Keywords: | DC microgrids (DCmGs), scalable control, plugand-play (PnP), Takagi-Sugeno fuzzy control, constant power load (CPL) |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 03 Jul 2024 09:24 |
Last Modified: | 07 Aug 2024 12:51 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Identification Number: | 10.1109/tfuzz.2024.3412944 |
Sustainable Development Goals: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:214308 |