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Predictive-Maintenance Practices: For Operational Safety of Battery Energy Storage Systems
IEEE Power and Energy Magazine ( IF 3.1 ) Pub Date : 2020-10-16 , DOI: 10.1109/mpe.2020.3014542
Richard Fioravanti , Kiran Kumar , Shinobu Nakata , Babu Chalamala , Yuliya Preger

Changes in the Demand Profile and a growing role for renewable and distributed generation are leading to rapid evolution in the electric grid. These changes are beginning to considerably strain the transmission and distribution infrastructure. Utilities are increasingly recognizing that the integration of energy storage in the grid infrastructure will help manage intermittency and improve grid reliability. This recognition, coupled with the proliferation of state-level renewable portfolio standards and rapidly declining lithium-ion (Li-ion) battery costs, has led to a surge in the deployment of battery energy storage systems (BESSs). Although BESSs represented less than 1% of grid-scale energy storage in the United States in 2019, they are the preferred technology to meet growing demand because they are modular, scalable, and easy to deploy across diverse use cases and geographic locations.

中文翻译:

预测性维护实践:用于电池储能系统的运行安全

需求概况的变化以及可再生和分布式发电的作用日益增强,导致电网快速发展。这些变化开始使传输和分配基础结构严重受力。公用事业越来越认识到电网基础设施中储能的集成将有助于管理间歇性并提高电网可靠性。这种认可,再加上国家级可再生能源投资组合标准的激增以及锂离子(Li-ion)电池成本的迅速下降,导致了电池储能系统(BESS)的部署激增。尽管BESS在2019年占美国电网规模储能的不到1%,但由于它们模块化,可扩展,
更新日期:2020-10-20
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