Bad data detection algorithm for PMU based on spectral clustering
US11170304B1 · kind B1 · utility
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Key dates
| Filing date | Mar 29, 2021 |
| Grant date | Nov 9, 2021 |
| Priority date | — |
| Expiry date | Mar 29, 2041 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY04S10/22
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A data-driven PMU bad data detection algorithm based on spectral clustering using single PMU data is described. The described algorithm does not require the system topology and parameters. First, a data identification method based on a decision tree is described to distinguish event data and bad data by using the slope feature of each set of data. Then, a bad data detection method based on spectral clustering is described. By analyzing the weighted relationships among all the data, this method can detect the bad data that has a small deviation.
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