Modeling of Photovoltaic Array Based on Multi-Agent Deep Reinforcement Learning Using Residuals of I–V Characteristics

Modeling of Photovoltaic Array Based on Multi-Agent Deep Reinforcement Learning Using Residuals of I–V Characteristics

Currently, the accuracy of modeling a photovoltaic (PV) array for fault diagnosis is still unsatisfactory due to the fact that the modeling accuracy is limited by the accuracy of extracted model parameters. In this paper, the modeling of a PV array based on multi-agent deep reinforcement learning (R...

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Bibliographic Details
Main Authors: Jingwei Zhang, Zenan Yang, Kun Ding, Li Feng, Frank Hamelmann, Xihui Chen, Yongjie Liu, Ling Chen
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Energies
Subjects:
deep reinforcement learning
double deep Q network
parameter estimation
photovoltaic mathematical model
Online Access:https://www.mdpi.com/1996-1073/15/18/6567

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https://www.mdpi.com/1996-1073/15/18/6567

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