Conference proceeding
Harmonic current and voltage monitoring using artificial neural network
2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD), pp 1-5
Aug 2020
Abstract
Generation of harmonics in the electrical power systems is a serious challenge to power utility companies. The system is responsible for the energy exchange through voltages and currents. These two parameters must be constrained properly in order to minimize serious deviation from nominal values to ensure power quality (PQ). Harmonics cause voltage and current waveforms to lose their sinusoidal form as the waveforms become a sum of various sine-waves of different phase and magnitude. We are proposing a neural network to monitor the presence of harmonics. Once the neural network is trained it is used to detect current/voltage harmonics in a single or multiphase power system. The proposed method can be integrated into a power quality instrument, can be used as a standalone system or as a hand held instrument.
Metrics
4 Record Views
2 citations in Scopus
Details
- Title
- Harmonic current and voltage monitoring using artificial neural network
- Creators
- Excellence Mutetwa Kuyumani - University of JohannesburgAli N. Hasan - University of JohannesburgT. Shongwe - University of Johannesburg
- Publication Details
- 2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD), pp 1-5
- Publisher
- IEEE
- Number of pages
- 5
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Engineering Leadership and Society/Engineering Technology
- Scopus ID
- 2-s2.0-85092053681
- Other Identifier
- 991022004200004721