A Study on Voltage Sag Assessment for Multiple Sensitive Loads Based on Probabilistic Prediction
Author:
Funder
Pukyong National University
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42835-023-01452-9.pdf
Reference31 articles.
1. Wang Y, Bagheri A, Bollen MHJ, Xiao X-Y (2017) Single-event characteristics for voltage dips in three-phase systems. IEEE Trans Power Deliv 32(2):832–840
2. He H-Y, Zhang W-H, Wang Y, Xiao X-Y (2021) A sensitive industrial process model for financial losses assessment due to voltage sag and short interruptions. IEEE Trans Power Deliv 36(3):1293–1301. https://doi.org/10.1109/TPWRD.2020.3006017
3. Wang H, Qi L, Ma Y, Jia J, Zheng Z (2020) Method of voltage sag causes based on bidirectional LSTM and attention mechanism. J Electr Eng Technol 15(3):1115–1125. https://doi.org/10.1007/s42835-020-00413-w
4. IEEE recommended practice for monitoring electric power quality. (2019) IEEE Std. 1159–2019 (Revision of IEEE Std. 1159–2009). pp. 001–098.
5. Cebrian JC, Milanović JV, Kagan N (2015) Probabilistic assessment of financial losses in distribution network due to fault-induced process interruptions considering process immunity time. IEEE Trans Power Deliv 30(3):1478–1486
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