Architecture for Utility-Scale Multi-Chemistry Battery Energy Storage

被引：0
|
作者：
Smith, Mitchell T. [1 ,2 ]
Starke, Michael R. [1 ]
Chinthavali, Madhu [1 ]
Tolbert, Leon M. [1 ,2 ]
机构：
[1] Oak Ridge Natl Lab, Elect Energy Syst Integrat, Oak Ridge, TN 37830 USA
[2] Univ Tennessee, Elect Engn & Comp Sci, Knoxville, TN 37996 USA
来源：
2019 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE) | 2019年
关键词：
agent-based; energy storage; transactive; distributed optimization; secondary-use batteries;
D O I：
10.1109/ecce.2019.8912309
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
The next generation of utility-scale energy storage will be composed of modular systems and autoconfiguring software. This is key to incorporating battery management systems (BMS) and power electronic converters (PEC) from multiple manufacturers into a cohesive single system. In this paper, an agent-based architecture which supports the integration of numerous BMSs and PECs is proposed. This architecture supports optimization and control of the entire system and can be used in many different energy storage technologies.
引用
收藏
页码：5386 / 5392
页数：7
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