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Adaptive fuzzy gain scheduling for load frequency control
Abstract
An adaptive fuzzy gain scheduling scheme for conventional PI and optimal load frequency controllers has been proposed. A Sugeno type fuzzy inference system is used in the proposed controller. The Sugeno type fuzzy inference system is extremely well suited to the task of smoothly interpolating linear gains across the input space when a very nonlinear system moves around in its operating space. The proposed adaptive controller requires much less training patterns than a neural net based adaptive scheme does and hence avoiding excessive training time. Results of simulation show that the proposed adaptive fuzzy controller offers better performance than fixed gain controllers at different operating conditions.
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Cited by
Pandey, S. K., Mohanty, S. R., & Kishor, N. (2013) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2013.04.029 · Cited by 561
Alhelou, H. H., Hamedani-Golshan, M.-E., Zamani, R., Heydarian-Forushani, E., & Siano, P. (2018) · Energies · doi:10.3390/en11102497 · Cited by 349
Rout, U. K., Sahu, R. K., & Panda, S. (2013) · Ain Shams Engineering Journal · doi:10.1016/j.asej.2012.10.010 · Cited by 314
Load Frequency Control of a Multi-Area Power System: An Adaptive Fuzzy Logic Approach
Yousef, H. A., AL-Kharusi, K., Albadi, M. H., & Hosseinzadeh, N. (2014) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2013.2297432 · Cited by 314
Sahu, B. K., Pati, S., Mohanty, P. K., & Panda, S. (2015) · Applied Soft Computing · doi:10.1016/j.asoc.2014.11.027 · Cited by 261
Metadata
- Authors
- Talaq, J., & Al-Basri, F.
- Venue
- IEEE Transactions on Power Systems
- Published
- 1999
- Volume
- 14
- Issue
- 1
- Pages
- 145-150
- ISSN
- 0885-8950 (ISSN-L)
- OpenAlex
- W2110814730
- Cited by
- 370
- References
- 0
- FWCI
- 8.45
- Type
- journal article
- Language
- en
- Open access
- closed
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- Talaq, J., & Al-Basri, F. (1999). Adaptive fuzzy gain scheduling for load frequency control. IEEE Transactions on Power Systems. https://doi.org/10.1109/59.744505
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