Intelligent fault diagnosis for distribution grid considering renewable energy intermittency

Author:

Shafiullah MdORCID,Abido M. A.,Al-Mohammed A. H.

Funder

King Fahd University of Petroleum and Minerals

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference65 articles.

1. Southwest Power Pool, “A Robust Transmission Grid Benefits Everyone,” 2021. Accessed: May 04, 2021. [Online]. Available: https://www.spp.org/documents/10047/benefits_of_robust_transmission_grid.pdf.

2. U.S. Energy Information Administration (EIA), “Delivery to consumers,” U.S. Energy Information Administration (EIA), Oct. 22, 2020. https://www.eia.gov/energyexplained/electricity/delivery-to-consumers.php (Accesssed May 21, 2021)

3. Shafiullah M, Abido MA, Al-Mohammed AH (2022) Power system fault diagnosis: a wide area measurement based intelligent approach, 1st edn. Elsevier, Amsterdam, Netherlands

4. Gururajapathy SS, Mokhlis H, Illias HA (2017) Fault location and detection techniques in power distribution systems with distributed generation: A review, Renew Sustain Energy Rev, vol. 74. Elsevier Ltd, pp. 949–958, Jul. 01, 2017, https://doi.org/10.1016/j.rser.2017.03.021

5. Farughian A, Kumpulainen L, Kauhaniemi K (2018) Review of methodologies for earth fault indication and location in compensated and unearthed MV distribution networks. Electr Power Syst Res 154:373–380. https://doi.org/10.1016/J.EPSR.2017.09.006

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