Licensing Opportunity: Envelope Detector-based Phase Fault Detection for Smart Grid Systems
Closed Special Notice Posted
- Solicitation number
- 2024-09-11-J
- Agency
-
Department of Energy
- Responses due
- Set-aside
- No set-aside
Opportunity facts
- Place of performance
- Oak Ridge, Tennessee 37830, United States
- Points of contact
Notice details come from SAM.gov. Updated .
About this opportunity
The Department of Energy has issued a Special Notice for a Licensing Opportunity related to an Envelope Detector-based Phase Fault Detection technology for Smart Grid Systems. This technology was developed by the Department of Energy's Oak Ridge National Laboratory and is designed to accurately identify fault regions in power grid systems in real-time, addressing the vulnerabilities of conventional fault detection systems.
The purpose of this Special Notice is to solicit interest from potential licensees or partners to further develop and commercialize this fault detection technology. The deadline for responding to this opportunity is October 26, 2024. The technology is not subject to any set-aside requirements, and the Department of Energy is seeking to collaborate with entities that can leverage the technology to provide benefits to power grid operators and electric utilities. Key features of the technology include its ability to diagnose ground faults, detect distortions and anomalies, and generate high-quality data for machine learning algorithms, ultimately improving the prediction accuracy of such systems.
Notice text
Invention Reference Number: 202405667
Faults in the power grid cause many problems that can result in catastrophic failures. Real-time fault detection in the power grid system is crucial to sustain the power systems' reliability, stability, and quality. However, conventional fault detection systems are vulnerable and do not work on real-world data. This technology is an envelope-detector-based phase fault detection algorithm that can accurately identify the fault region compared to conventional methods.
Description
This technology is a phase fault detection algorithm for power grids developed by employing an envelope detector method. This method diagnoses faults among phases and defines fault areas in the incoming signal. The designed algorithm consists of three steps: analytical signal conversion, complex magnitude, and fault detection. First an analytical signal is obtained from the incoming power signal to determine the amplitude and phase of the signal. Then a complex magnitude operation is applied to display changes in amplitude. Then it identifies the distortion signal in terms of the type of error and size. The technology not only detects the fault region but also diagnoses whether the detected fault is a ground error or not. This technology works with both simulated substation data containing faults that occurred in the power sensor and real-world data. The technology can be used to train machine learning algorithms, providing good data without excess data that’s not useful.
Benefits
- Accurately detects fault region compared to conventional methods
- Can also diagnose if fault is a ground error
- Detects distortions and anomalies accurately and precisely
- Can detect problems even with no previous knowledge about data
- Captures area of interest to provide good data for machine learning
- Increases prediction accuracy of machine learning algorithm
- Clips out unnecessary parts of the signal
Applications and Industries
- Power grid operators
- Electric utilities
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.
On GovTribe
Work this opportunity
- Track it in your pipeline
- Find teaming partners
- Similar opportunities
- Ask GovTribe AI about this opportunity