A Simple and Accurate Energy-Detector-Based Transient Waveform Detection for Smart Grids: Real-World Field Data Performance
Integration of distributed energy sources, advanced meshed operation, sensors, automation, and communication networks all contribute to autonomous operations and decision-making processes utilized in the grid. Therefore, smart grid systems require sophisticated supporting structures. Furthermore, ra...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/22/8367 |
| _version_ | 1797465437656580096 |
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| author | Ali Riza Ekti Aaron Wilson Joseph Olatt John Holliman Serhan Yarkan Peter Fuhr |
| author_facet | Ali Riza Ekti Aaron Wilson Joseph Olatt John Holliman Serhan Yarkan Peter Fuhr |
| author_sort | Ali Riza Ekti |
| collection | DOAJ |
| description | Integration of distributed energy sources, advanced meshed operation, sensors, automation, and communication networks all contribute to autonomous operations and decision-making processes utilized in the grid. Therefore, smart grid systems require sophisticated supporting structures. Furthermore, rapid detection and identification of disturbances and transients are a necessary first step towards situationally aware smart grid systems. This way, high-level monitoring is achieved and the entire system kept operational. Even though smart grid systems are unavoidably sophisticated, low-complexity algorithms need to be developed for real-time sensing on the edge and online applications to alert stakeholders in the event of an anomaly. In this study, the simplest form of anomaly detection mechanism in the absence of any a priori knowledge, namely, the <i>energy detector (also known as radiometer in the field of wireless communications and signal processing)</i>, is investigated as a triggering mechanism, which may include automated alerts and notifications for grid anomalies. In contrast to the mainstream literature, it does not rely on transform domain tools; therefore, utmost design and implementation simplicity are attained. Performance results of the proposed energy detector algorithm are validated by real power system data obtained from the DOE/EPRI National Database of power system events and the Grid Signature Library. |
| first_indexed | 2024-03-09T18:22:25Z |
| format | Article |
| id | doaj.art-5c2eccb0cb244a898efd8eb4a08c4af2 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T18:22:25Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-5c2eccb0cb244a898efd8eb4a08c4af22023-11-24T08:12:04ZengMDPI AGEnergies1996-10732022-11-011522836710.3390/en15228367A Simple and Accurate Energy-Detector-Based Transient Waveform Detection for Smart Grids: Real-World Field Data PerformanceAli Riza Ekti0Aaron Wilson1Joseph Olatt2John Holliman3Serhan Yarkan4Peter Fuhr5Electrification and Energy Infrastructures Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USAElectrification and Energy Infrastructures Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USAElectrification and Energy Infrastructures Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USAElectrification and Energy Infrastructures Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USADepartment of Electrical and Electronic Engineering, Istanbul Ticaret University, 34469 Istanbul, TurkeyElectrification and Energy Infrastructures Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USAIntegration of distributed energy sources, advanced meshed operation, sensors, automation, and communication networks all contribute to autonomous operations and decision-making processes utilized in the grid. Therefore, smart grid systems require sophisticated supporting structures. Furthermore, rapid detection and identification of disturbances and transients are a necessary first step towards situationally aware smart grid systems. This way, high-level monitoring is achieved and the entire system kept operational. Even though smart grid systems are unavoidably sophisticated, low-complexity algorithms need to be developed for real-time sensing on the edge and online applications to alert stakeholders in the event of an anomaly. In this study, the simplest form of anomaly detection mechanism in the absence of any a priori knowledge, namely, the <i>energy detector (also known as radiometer in the field of wireless communications and signal processing)</i>, is investigated as a triggering mechanism, which may include automated alerts and notifications for grid anomalies. In contrast to the mainstream literature, it does not rely on transform domain tools; therefore, utmost design and implementation simplicity are attained. Performance results of the proposed energy detector algorithm are validated by real power system data obtained from the DOE/EPRI National Database of power system events and the Grid Signature Library.https://www.mdpi.com/1996-1073/15/22/8367transient and anomaly detectionenergy detectorgrid signature libraryarcingwildfiresmart grid |
| spellingShingle | Ali Riza Ekti Aaron Wilson Joseph Olatt John Holliman Serhan Yarkan Peter Fuhr A Simple and Accurate Energy-Detector-Based Transient Waveform Detection for Smart Grids: Real-World Field Data Performance Energies transient and anomaly detection energy detector grid signature library arcing wildfire smart grid |
| title | A Simple and Accurate Energy-Detector-Based Transient Waveform Detection for Smart Grids: Real-World Field Data Performance |
| title_full | A Simple and Accurate Energy-Detector-Based Transient Waveform Detection for Smart Grids: Real-World Field Data Performance |
| title_fullStr | A Simple and Accurate Energy-Detector-Based Transient Waveform Detection for Smart Grids: Real-World Field Data Performance |
| title_full_unstemmed | A Simple and Accurate Energy-Detector-Based Transient Waveform Detection for Smart Grids: Real-World Field Data Performance |
| title_short | A Simple and Accurate Energy-Detector-Based Transient Waveform Detection for Smart Grids: Real-World Field Data Performance |
| title_sort | simple and accurate energy detector based transient waveform detection for smart grids real world field data performance |
| topic | transient and anomaly detection energy detector grid signature library arcing wildfire smart grid |
| url | https://www.mdpi.com/1996-1073/15/22/8367 |
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