Electric Field Based Edge Analytics on Capacitor Bank Switching Transients
| Autor: | Tao Ye, Mirrasoul J. Mousavi |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
business.industry 020209 energy Electrical engineering Process (computing) 02 engineering and technology Power factor Switched capacitor Grid Line (electrical engineering) Field (computer science) Power (physics) Software deployment 0202 electrical engineering electronic engineering information engineering business |
| Zdroj: | 2020 IEEE Power & Energy Society General Meeting (PESGM). |
| DOI: | 10.1109/pesgm41954.2020.9281679 |
| Popis: | Intelligent line sensors offer cost-effective ways to instrument distribution feeders and capture field measurements -including e-field, line current, and conductor temperature and vibration in support of grid modernization initiatives. These sensors are hot-stick installable and do not require a power outage for commissioning. Equipped with on-board compute, storage, and communications, they are ideally designed for edge analytics enabling a number of utility IoT (Internet of Things) applications. This paper explores the application of these sensors for analyzing switched capacitor bank transients manifested in the GPS-synchronized e-field and current waveforms. The paper describes the modeling process and demonstrates the application of the machine learning model using data from a large-scale utility deployment. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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