Dandelion Optimizer-Based Reinforcement Learning Techniques for MPPT of Grid- Connected Photovoltaic Systems

Dandelion Optimizer-Based Reinforcement Learning Techniques for MPPT of Grid- Connected Photovoltaic Systems

The integration of photovoltaic (PV) into electric power systems has been widely explored and adopted to address the problems associated with the depletion of fossil fuels and the release of greenhouse gases. PV panels convert sunlight into electricity, minimizing the reliance on fossil fuels and mi...

Full description

Bibliographic Details
Main Authors: Ghazi A. Ghazi, Essam A. Al-Ammar, Hany M. Hasanien, Wonsuk Ko, Jaesung Park, Dongsu Kim, Zia Ullah
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Dandelion optimizer
deep deterministic policy gradient
deep reinforcement learning
maximum power point tracking
PV systems
proximal policy optimization
Online Access:https://ieeexplore.ieee.org/document/10474368/

Internet

https://ieeexplore.ieee.org/document/10474368/

Similar Items