no code implementations • 24 Aug 2023 • Yang Li, Wenjie Ma, Fanjin Bu, Zhen Yang, Bin Wang, Meng Han
In order to coordinate energy interactions among various communities and energy conversions among multi-energy subsystems within the multi-community integrated energy system under uncertain conditions, and achieve overall optimization and scheduling of the comprehensive energy system, this paper proposes a comprehensive scheduling model that utilizes a multi-agent deep reinforcement learning algorithm to learn load characteristics of different communities and make decisions based on this knowledge.
no code implementations • 27 Dec 2022 • Yang Li, Fanjin Bu, Yuanzheng Li, Chao Long
Multi-uncertainties from power sources and loads have brought significant challenges to the stable demand supply of various resources at islands.
no code implementations • 24 Sep 2022 • Yang Li, Fanjin Bu, Jiankai Gao, Guoqing Lia
The development of miniaturized nuclear power (NP) units and the improvement of the carbon trading market provide a new way to realize the low-carbon operation of integrated energy systems (IES).
no code implementations • 27 Aug 2022 • Limeng Wang, Chao Yang, Yi Zhang, Fanjin Bu
How to weigh various factors to construct a reasonable model of charging station location and capacity has become a major difficulty in the field of electric vehicle charging facility planning.