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Fuzzy-recurrent network based distributed frequency control of multi microgrid system


Kandasamy, Jeevitha and Ramachandran, Rajeswari and Veerasamy, Veerapandiyan and Irudayaraj, Andrew Xavier Raj (2023) Fuzzy-recurrent network based distributed frequency control of multi microgrid system. In: 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT), 11-12 Mar. 2023, Male, Maldives. (pp. 1-6).


This paper proposes a distributed control strategy (DCS) for coordinating frequency control of multi microgrid (MMG) system. A leader-follower based consensus control law is derived for controlling each individual MG in the cluster. An adaptive fuzzy tuned recurrent neural network (FRNN) technique is proposed to design the optimal fractional order proportional-integral-derivative (FOPID) controller for distributed generation in the MG. A Lyapunov based objective function is developed to derive the dynamics, for weight updation of the RNN through gradient descent approach. The initial bias values of RNN are obtained via the Fuzzy approach for optimal operation of the FOPID controller. The proposed controller is tested for distributed frequency control of the MG system which coordinately controls the frequency of the MMG system. The performance of the controller is validated through various test cases and implemented in Hardware-in-the-loop using OPAL-RT simulation. The results show that the proposed control outperforms than other state-of-the-art.

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Official URL or Download Paper: https://ieeexplore.ieee.org/document/10087850

Additional Metadata

Item Type: Conference or Workshop Item (Paper)
DOI Number: https://doi.org/10.1109/GlobConHT56829.2023.10087850
Publisher: IEEE
Keywords: Distributed control strategy; Multi microgrid system; Recurrent neural network; Fractional-order control
Depositing User: Ms. Nuraida Ibrahim
Date Deposited: 03 Oct 2023 06:38
Last Modified: 04 Oct 2023 09:43
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/GlobConHT56829.2023.10087850
URI: http://psasir.upm.edu.my/id/eprint/37567
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