Optimized Integral Sliding Mode Load Frequency Control of an Isolated Power System
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6749-0_49
Reference16 articles.
1. Kumar N, Malik H, Singh A, Alotaibi MA, Nassar ME (2021) Novel neural network-based load frequency control scheme: a case study of restructured power system. IEEE Access 9:162231–162242. https://doi.org/10.1109/ACCESS.2021.3133360
2. Alhelou HH, Golshan MEH, Siano P (2021) Frequency response models and control in smart power systems with high penetration of renewable energy sources. Comput Electr Eng 96(Part A). ISSN 0045-7906
3. Aggarwal N, Mahajan AN, Nagpal N (2023) Dynamic state estimation of a multi-source isolated power system using unscented Kalman filter. In: Gupta D, Khanna A, Hassanien AE, Anand S, Jaiswal A (eds) International conference on innovative computing and communications. Lecture notes in networks and systems, vol 492. Springer, Singapore. https://doi.org/10.1007/978-981-19-3679-1_10
4. Singh V, Mohanty SR, Kishor N (2013) H-infinity robust load frequency control in hybrid distributed generation system. Int J Electr Power Energy Syst 46:294–305
5. Singh VP, Mohanty SR, Kishor N, Ray PK (2013) Robust H-infinity load frequency control in hybrid distributed generation system. Int J Electr Power Energy Syst 46:294–305. ISSN 0142-0615. https://doi.org/10.1016/j.ijepes.2012.10.015
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