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A Protection Technique for Microgrid Using Wavelet Packet Transform and Data Mining Classifier
| Content Provider | MDPI |
|---|---|
| Author | Baloch, Shazia Jamali, Saeed Zaman Shah, Syed Ali Raza |
| Copyright Year | 2022 |
| Description | In electrical power systems, the popularity of the microgrid is significantly increasing because of its remarkable advantages. However, the microgrid often exhibits protection problems and seriously affects the reliability of power system. Hence, a proper protection strategy is extremely necessary to solve the protection issues. Therefore, this manuscript proposes a protection strategy against the faults in microgrids using a wavelet packet transform and data mining classifier. MATLAB/SIMULINK and Python are used to investigate the proposed scheme performance. It was found that the proposed technique can detect and classify different types of faults for the islanded and grid-associated modes of the microgrid. |
| Starting Page | 33 |
| DOI | 10.3390/engproc2022020033 |
| Issue Number | 1 |
| Volume Number | 20 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-08-04 |
| Access Restriction | Open |
| Subject Keyword | Industrial Engineering Data Mining Fault Protection Microgrid Wavelet Packet Transform |
| Content Type | Text |
