Back to Search
Start Over
Risk assessment of voltage sag based on multi-source data mining
- Source :
- Journal of Physics: Conference Series. 2355:012060
- Publication Year :
- 2022
- Publisher :
- IOP Publishing, 2022.
-
Abstract
- This paper proposes the data mining method of voltage sag severity based on DHP algorithm and replaceable coefficient to assess the risk of voltage sag. The DHP (Direct Hashing and Pruning) is served to mine the relationship between voltage sag characteristic attribute (VSCA) in the fault scenario and the voltage sag severity (VSS) of node. Using direct hash pruning technology, frequent item sets can be found quickly and mining efficiency can be improved. The association rules are matched with the actual fault scenarios through replaceable coefficients to get the VSS of actual fault scenarios. Finally, the effectiveness and accuracy of this method are verified by simulation and examples.
- Subjects :
- History
Computer Science Applications
Education
Subjects
Details
- ISSN :
- 17426596 and 17426588
- Volume :
- 2355
- Database :
- OpenAIRE
- Journal :
- Journal of Physics: Conference Series
- Accession number :
- edsair.doi...........2947f4b67bb3c21f2c24df6e2c91e035