Innovative Energy Solutions: Evaluating Reinforcement Learning Algorithms for Battery Storage Optimization in Residential Settings DOI
Zhenlan Dou, Chunyan Zhang, Junqiang Li

и другие.

Process Safety and Environmental Protection, Год журнала: 2024, Номер unknown

Опубликована: Окт. 1, 2024

Язык: Английский

Adaptive current differential protection principle for transmission line connected to energy storage power station based on phase and amplitude compensation DOI

Yunqi Zhang,

Yue Yu,

Yang Guosheng

и другие.

Journal of Energy Storage, Год журнала: 2025, Номер 111, С. 115468 - 115468

Опубликована: Янв. 22, 2025

Язык: Английский

Процитировано

0

Research on Power Coordination Control Strategy of Microgrid Based on Reconfigurable Energy Storage DOI Creative Commons
Xiaoxi Liu, Libo Jiang, Tianwen Zheng

и другие.

Energies, Год журнала: 2025, Номер 18(5), С. 1040 - 1040

Опубликована: Фев. 21, 2025

Reconfigurable new energy storage can effectively address the security and limitation issues associated with traditional battery storage. To enhance reliability of microgrid system ensure power balance among generation units, this paper proposes a coordination control strategy based on reconfigurable First, incorporating storage, photovoltaic generation, supercapacitor is introduced. By leveraging structural advantages potential safety hazards be mitigated improved. Second, novel for supercapacitors proposed. The achieves constant current charge/discharge through DC-DC converter, while maintains DC bus voltage stability via another DC–DC converter. Next, flow relationship within analyzed. dynamic reconfiguration characteristics combined high density supercapacitor, enable compensation unit to meet load’s demand. Finally, simulation model developed in MATLAB/Simulink environment compare analyze effects results demonstrate that proposed addressing issue life degradation caused by continuous variation when compensates fluctuations. Additionally, rapidly adjust system’s output, mitigating fluctuations variations load changes system, thereby improving stability.

Язык: Английский

Процитировано

0

Optimization of an immersion cooling 46.5 kW/46.5 kWh battery module using flow resistance network shortcut method DOI

Qianlei Shi,

Qian Liu, Yingying Liu

и другие.

Journal of Energy Storage, Год журнала: 2024, Номер 103, С. 114383 - 114383

Опубликована: Ноя. 5, 2024

Язык: Английский

Процитировано

3

Full-scale simulation of a 372 kW/372 kWh whole-cluster immersion cooling Lithium-ion battery cluster and battery thermal management system design DOI Creative Commons
Xi Cao,

Qianlei Shi,

Qian Liu

и другие.

Case Studies in Thermal Engineering, Год журнала: 2024, Номер unknown, С. 105377 - 105377

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

2

Innovative Energy Solutions: Evaluating Reinforcement Learning Algorithms for Battery Storage Optimization in Residential Settings DOI
Zhenlan Dou, Chunyan Zhang, Junqiang Li

и другие.

Process Safety and Environmental Protection, Год журнала: 2024, Номер unknown

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

0