Multi-area optimal adaptive under-frequency load shedding control based on ANFIS approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s00202-023-02156-z.pdf
Reference36 articles.
1. Saboune S, Ladjici AA, Tiguercha A Adaptive decentralized fuzzy logic-based underfrequency load shedding to enhance power system stability. International Transactions on Electrical Energy Systems 31(11), 13087. https://onlinelibrary.wiley.com/doi/pdf/10.1002/2050-7038.13087. https://doi.org/10.1002/2050-7038.13087
2. Dridy M, Mokhlis H, Mekhilef S (2018) A new under-frequency load shedding scheme based on adaptive neuro-fuzzy inference system and evolutionary programming shedding priority. In: IOP conference series: earth and environmental science, vol 164, p 012015. IOP Publishing
3. Guo J, Liu F, Huang S, Chen L, Wei W, Ding L (2017) Towards optimal estimation of blackout probability based on sequential importance sampling simulations. In: 2017 IEEE power energy society general meeting, pp 1–5. https://doi.org/10.1109/PESGM.2017.8274059
4. Tiguercha A, Ladjici AA, Saboune S (2023) A new adaptive under-frequency loadshedding scheme for multi-area power system. Int J Power Energy Syst 43(10)
5. Haes Alhelou H, Hamedani Golshan ME, Njenda TC, Hatziargyriou ND (2020) An overview of ufls in conventional, modern, and future smart power systems: challenges and opportunities. Electric Power Syst Res 179:106054. https://doi.org/10.1016/j.epsr.2019.106054
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