传感器节点提高智能电网的弹性和监测:将实验室带到工业现场

L. Russell, R. Goubran, F. Kwamena
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引用次数: 3

摘要

传感器和数据分析在提高电力系统的弹性方面具有巨大的潜力。提高智能电网的分析能力,并向运营商提供信息,以便快速解决问题,可能有助于提高电力系统的弹性。传感器和分析的有效使用将使响应更及时,更有效地利用人员、专业设备和现场具体位置,因为部署团队可以获得更好的信息来处理损坏。检测物理特性,如振动、结冰、热点、资产/设备的老化和劣化、金属疲劳和其他考虑因素可以防止中断。在寒冷的气候中,冰暴会导致电力中断,极端天气事件也会不断威胁到电力塔。开发了一个系统,用于从传感器收集信息,并进行相关分析,以检测异常情况以解决损坏问题,并为操作人员提供可视化屏幕。
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Sensor Node to Improve Resiliency and Monitoring in Smart Grids: Taking the Lab to Field in Industry
Sensors and data analytics have a tremendous potential to improve the resilience of the electricity system. Improving the analytics in a smart grid, and providing information to operators so that problems can be resolved quickly, may serve to improve the resiliency of the electricity system. Effective use of sensors and analytics will enable more timely a response, and more efficient use of personnel, specialty equipment, and site location specifics because of better information for deployment teams to address damage. Detection of physical characteristics such as vibration, ice build up, hot spots, aging and deterioration of assets/equipment, metal fatigue and other considerations could prevent disruptions. In cold climates, ice storms can cause outages, and extreme weather events are constantly a threat to electricity towers. A system was developed to collect information from sensors, as well as relevant analytics to detect abnormalities to address damage, and for operator visualizations screens.
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