Low-Cost Embedded Optical Sensing Systems For Distribution Transformer Monitoring

被引:15
作者
Raghavan, Ajay [1 ]
Kiesel, Peter [1 ]
Teepe, Mark [1 ]
Cheng, Fangzhou [1 ]
Chen, Qiushu [1 ]
Karin, Todd [1 ]
Jung, Deokwoo [1 ]
Mostafavi, Saman [1 ]
Smith, Malcolm [2 ]
Stinson, Robert [2 ]
Kittrell, Bradley [3 ]
Shin, Jane [3 ]
Lee, Serena [3 ]
LaCarrubba, Nicholas [3 ]
机构
[1] Palo Alto Res Ctr, Palo Alto, CA 94304 USA
[2] Gen Elect, Shreveport, LA USA
[3] Consolidated Edison Co New York Inc, New York, NY 10003 USA
关键词
Iron; Frequency modulation; IP networks; Transformers; optical sensor; load monitoring; asset health; corrosion; partial discharges; vibration measurement; temperature measurement; predictive maintenance; POWER TRANSFORMERS; PARTIAL DISCHARGES; SENSORS;
D O I
10.1109/TPWRD.2020.2999822
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
There is a growing need for low-cost monitoring with online sensing technologies to maintain grid reliability and uptime. Here we present an innovative low-cost, embedded optical sensing technology initially focused on transformers that was developed and demonstrated at a major electric utility, Con Edison. A version of it that can be retrofitted onto existing transformers in the field was also developed. Two new 500 kVA distribution network transformers were built with embedded fiber-optic (FO) sensors and qualified per industry standards. Vibration, temperature, and corrosion were key parameters monitored. The first transformer with embedded FO sensors was installed at a Con Edison facility and monitored at our team's office. The second one was installed in an urban street-side underground location with online data processing/feature extraction algorithms and monitored through a wireless router. Additionally, an older transformer was also retrofitted. Data analysis was done on these transformers showing promising correlations with their corresponding loading cycles. Additionally, key events such as the transformer primary-side energizing, and other events were detected. Overall, the technology was demonstrated over 6 months across the 3 transformers instrumented with promising results. Thus, it has the potential to enable predictive grid maintenance for transformers and other grid assets.
引用
收藏
页码:1007 / 1014
页数:8
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