A combined mathematical morphology and extreme learning machine techniques based approach to micro-grid protection
This work introduces a smart differential protection scheme for a microgrid system using a nonlinear signal transformation named as ‘mathematical morphology (MM)’. Here, the mathematical morphology is used as a feature extraction technique. Thus, the three elementary MM filtering operators like eros...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2019-06-01
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| Series: | Ain Shams Engineering Journal |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447919300656 |