Abstract
As the grid becomes smarter, the need to accurately detect, predict, and classify waveform phenomena is growing. When it comes to detecting high-frequency behaviors, i.e. transients, it is especially important to employ an event detection system that is able to accurately uncover these types of disturbances that would otherwise be lost with traditional hardware. In this paper, we first present the energy detector; a waveform event detection system that adaptively monitors a signal's energy and picks out high-frequency events that deviate from the nominal state. Secondly, we evaluate the performance of this detector against waveform data that have been corrupted by sensor irregularities. Using Oak Ridge National Laboratory's sensor testbed, we are able to show the results of the detector's performance against events that have been corrupted by three distinct sensor types, and examine how these results change with multiple trials. The results show excellent performance when detecting the beginning of an anomalous event with an average of less than 1% error.
| Original language | English |
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| Title of host publication | 2023 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781665453554 |
| DOIs | |
| State | Published - 2023 |
| Event | 2023 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2023 - Washington, United States Duration: Jan 16 2023 → Jan 19 2023 |
Publication series
| Name | 2023 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2023 |
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Conference
| Conference | 2023 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2023 |
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| Country/Territory | United States |
| City | Washington |
| Period | 01/16/23 → 01/19/23 |
Funding
Research is supported by the US Department of Energy (DOE), Office of Electricity, under Contract DE-AC05-00OR22725 with UT-Battelle, LLC, for the US DOE. This manuscript has been authored by UT-Battelle, LLC, under Contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).
Keywords
- Transient
- event detection
- harmonics
- sensor measurement error