Optimizing the initial weights of a PID neural network controller for voltage stabilization...

Fractional-order transfer Q-learning based on modal decomposition and convolutional neural networks for voltage control of smart grids

L Yin, N Mo - Advanced Engineering Informatics, 2024 - Elsevier
Extensive distributed energy connected to smart grids (SGs) poses a huge challenge to the
voltage regulation of power systems. Conventional automatic voltage control (AVC) …
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Fractional-order Q-learning based on modal decomposition and convolutional neural networks for voltage control of smart grids

L Yin, N Mo - Applied Soft Computing, 2024 - Elsevier
To maintain uniformity in the time scale of the control system, a coordinated first-level
voltage control (FVC) framework is proposed for the voltage controller of three-state energy …
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Structure modification based PID neural network decoupling control for nonlinear multivariable systems

L Yang, J Ding, H Ge - Information Sciences, 2024 - Elsevier
In this research, a structure modification based PID neural network (PIDNN) decoupling
strategy is proposed to solve the difficulty in controller caused by the strong coupling in …
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Optimal Fractional Order Control of Virtual Inertia Emulator for a Microgrid with High Renewable Energy Penetration

MM Hasan, MS Rahman, MS Rana… - 2024 7th International …, 2024 - ieeexplore.ieee.org
A microgrid With high renewable energy penetration and low inertia is vulnerable to
transients in the frequency response due to the sudden mismatch of generation and …
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