Critical Flow-Based Fast Algorithm for the Total Supply Capability Curve of Distribution Networks
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-023-07722-y.pdf
Reference30 articles.
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2. Wang, Z.C.; Zhou, Y.Z.; Guo, Q.L.; Sun, H.B.: Interpretable neighborhood deep models for online total transfer capability evaluation of power systems. IEEE T. Power Syst. 37(1), 260–271 (2022). https://doi.org/10.1109/TPWRS.2021.3091710
3. Zhang, Y.; Liu, W.; Huan, Y.; Zhou, Q.; Wang, N.: Online dynamic total transfer capability estimation using containing-style semi-supervised regression. IEEE Access. 8, 94054–94064 (2020). https://doi.org/10.1109/ACCESS.2020.2995620
4. Xu Z.Y.; Liu H.; Sun H.; Ge S.Y.; Wang C.S.: Power supply capability evaluation of distribution systems with distributed generations under differentiated reliability constraints. Int. J. Elec. Power. 134, 107344 (2022). https://doi.org/10.1016/j.ijepes.2021.107344
5. Bai, H.; Wang, Y.L.; Yao, R.T.; Li, W.; Wang, K.L.; Lu, C.: Total supply capability model for distribution network with electric trading market. Energy Rep. 8(8), 665–670 (2022). https://doi.org/10.1016/j.egyr.2022.10.326
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