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A New Method for Analysis and Estimation of Microgrid Signals Under Fault Conditions

  • Published:2021-03-30 Issue:4 Volume:32 Page:1099-1110
  • ISSN:2195-3880
  • Container-title:Journal of Control, Automation and Electrical Systems
  • language:en
  • Short-container-title:J Control Autom Electr Syst

Author:

Rafiee Zahra,Hajiaghasi Salman,Rafiee MansourORCID,Salemnia Ahmad

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications,Energy Engineering and Power Technology,Control and Systems Engineering

Reference31 articles.

1. Aftab, M. A., Hussain, S. M. S., Ali, I., & Ustun, T. S. (2020). Dynamic protection of power systems with high penetration of renewables: A review of the traveling wave based fault location techniques. International Journal of Electrical Power and Energy Systems, 114, 105410. https://doi.org/10.1016/j.ijepes.2019.105410.

2. Bertocco, M., Narduzzi, C., & Tramarin, F. (2013). Characterization of microgrid smart metering: Phasor estimation under impaired conditions. In 2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (pp. 1170–1175). IEEE. https://doi.org/10.1109/I2MTC.2013.6555598

3. Choi, S., & Meliopoulos, A. P. S. (2017). Effective real-time operation and protection scheme of microgrids using distributed dynamic state estimation. IEEE Transactions on Power Delivery, 32(1), 504–514. https://doi.org/10.1109/TPWRD.2016.2580638.

4. Funaki, T., & Tanaka, S. (2002). Error estimation and correction of DFT in synchronized phasor measurement. In Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference (Vol. 1, pp. 448–453). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/tdc.2002.1178409

5. Garanayak, P., Panda, G., & Ray, P. K. (2015). Harmonic estimation using RLS algorithm and elimination with improved current control technique based SAPF in a distribution network. International Journal of Electrical Power and Energy Systems, 73, 209–217. https://doi.org/10.1016/j.ijepes.2015.04.023.

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