Optimal frequency regulation in multi-microgrid systems using federated learning
This paper proposes a Federated Learning-based Zeroing Neural Network (FL-ZNN) tuned optimal proportional-integral-derivative (PID) control strategy for frequency control of Multi-Microgrid (MMG) system. The proposed FL-ZNN technique employs a distributed learning approach that allows each neuron to...
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Main Authors: | , , , , , |
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Format: | Conference or Workshop Item |
Published: |
IEEE
2023
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Online Access: | http://psasir.upm.edu.my/id/eprint/37573/ https://ieeexplore.ieee.org/document/10150045 |
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Institution: | Universiti Putra Malaysia |