An adaptive Zhang neural network controller for frequency control of renewable energy integrated system

This paper proposes a Zhang neural network (ZNN) designed self-adaptive proportional-integral-derivative (PID) controller for frequency control of renewable energy integrated systems. The network is formulated to minimize the error function that minimizes the area control error of the integrated sys...

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Bibliographic Details

Main Authors:	Irudayaraj, Andrew Xavier Raj, Abdul Wahab, Noor Izzri, Veerasamy, Veerapandiyan, Othman, Mohammad Lutfi, Singh, Shailendra, Gooi, Hoay Beng
Format:	Conference or Workshop Item
Published:	IEEE 2022
Online Access:	http://psasir.upm.edu.my/id/eprint/37831/ https://ieeexplore.ieee.org/document/10045183
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