Quantum Reinforcement Learning for Volt-VAR Control in Power Distribution Systems

Volt-VAR control (VVC) is crucial in active distribution networks for optimizing voltage profiles and minimizing network losses. While traditional deep reinforcement learning (DRL) algorithms exhibit promise for VVC, they often require extensive computational resources to handle such a high-dimensio...

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Үндсэн зохиолчид:	Ding Lin, Jianhui Wang, Huan-Hsin Tseng, Tianqiao Zhao, Meng Yue, Shinjae Yoo
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	IEEE 2025-01-01
Цуврал:	IEEE Open Access Journal of Power and Energy
Нөхцлүүд:	Deep reinforcement learning quantum computing Volt-VAR control variational quantum circuits
Онлайн хандалт:	https://ieeexplore.ieee.org/document/11260488/
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!