most citedString-Level Ground Fault Localization for TN-Earthed Three-Phase Photovoltaic Systems

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5 papers

eess.SY20261 cited

String-Level Ground Fault Localization for TN-Earthed Three-Phase Photovoltaic Systems

Yuanliang Li, Xun Gong, Reza Iravani +3

The DC-side ground fault (GF) poses significant risks to three-phase TN-earthed photovoltaic (PV) systems, as the resulting high fault current can directly damage both PV inverters…

cs.LG2025

Fault Diagnosis and Quantification for Photovoltaic Arrays based on Differentiable Physical Models

Zenan Yang, Yuanliang Li, Jingwei Zhang +2

Accurate fault diagnosis and quantification are essential for the reliable operation and intelligent maintenance of photovoltaic (PV) arrays. However, existing fault quantification…

cs.AI2025

RefPentester: A Knowledge-Informed Self-Reflective Penetration Testing Framework Based on Large Language Models

Hanzheng Dai, Yuanliang Li, Jun Yan +1

Automated penetration testing (AutoPT) powered by large language models (LLMs) has gained attention for its ability to automate ethical hacking processes and identify vulnerabiliti…

eess.SY2025

Deep Reinforcement Learning-Based Bidding Strategies for Prosumers Trading in Double Auction-Based Transactive Energy Market

Jun Jiang, Yuanliang Li, Luyang Hou +4

With the large number of prosumers deploying distributed energy resources (DERs), integrating these prosumers into a transactive energy market (TEM) is a trend for the future smart…

cs.AI2024

Knowledge-Informed Auto-Penetration Testing Based on Reinforcement Learning with Reward Machine

Yuanliang Li, Hanzheng Dai, Jun Yan

Automated penetration testing (AutoPT) based on reinforcement learning (RL) has proven its ability to improve the efficiency of vulnerability identification in information systems.…