Optimal Frequency Regulation in Multi-Microgrid Systems using Federated Learning

• Main Authors: Irudayaraj A.X.R., Wahab N.I.A., Veerasamy V., Premkumar M., Ramachandaramurthy V.K., Gooi H.B.
• Other Authors: 57216703079
• Format: Conference Paper
• Published: Institute of Electrical and Electronics Engineers Inc. 2024
• Subjects: and Load Frequency Control; Federated learning; Multi-microgrid system; Zeroing Neural Network; Controllers; Electric control equipment; Electric frequency control; Electric loads; Learning systems; Microgrids; Proportional control systems; Three term control systems; Two term control systems; And load frequency control; Control strategies; Load-frequency control; Microgrid systems; Multi micro-grids; Network-based; Neural-networks; Zeroing neural network; Neural networks
• Institution: Universiti Tenaga Nasional

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...