Electromagnetic field and artificial intelligence based fault detection and classification system for the transmission lines in smart grid
Author:
Affiliation:
1. School of Electrical Engineering, MIT World Peace University Pune, Pune, Maharashtra, India
2. Testing Division, MAHATRANSCO, Pune, Maharashtra, India
Publisher
Informa UK Limited
Subject
Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment
Link
https://www.tandfonline.com/doi/pdf/10.1080/15567036.2021.1948637
Reference31 articles.
1. Ultrafast Transmission Line Fault Detection Using a DWT-Based ANN
2. Artificial neural-network-based fault location for power distribution lines using the frequency spectra of fault data
3. Fault classification in power systems using EMD and SVM
4. ARTIFICIAL INTELLIGENCE APPLICATIONS IN RENEWABLE ENERGY SYSTEMS AND SMART GRID – SOME NOVEL APPLICATIONS
5. A Non-Contact Technique for Determining Harmonic Currents Present in Individual Conductors of Overhead Lines
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