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Control and safety enhancement of a Wind Energy Conversion System.

, , , и . SSD, стр. 429-434. IEEE, (2019)

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Nouha Salman

Nouha Abid

Nouha Sghaier

Nouha Vernessa Ilona Ritschel

 

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Power System Faults Detection Based on Deep Learning and Support Vector Machine Supervised Machine Learning Techniques., , и . CoDIT, стр. 1190-1195. IEEE, (2022)Control and safety enhancement of a Wind Energy Conversion System., , , и . SSD, стр. 429-434. IEEE, (2019)Transient stability enhancement and voltage regulation in SMIB power system using SVC with PI controller., , , , и . ICSC, стр. 115-120. IEEE, (2017)Experimental Analysis for enhancement of unbalanced standalone Wind Energy Conversion System., , , , , и . SSD, стр. 322-327. IEEE, (2019)An improved Backstepping technique using sliding mode control for transient stability enhancement and voltage regulation of SMIB power system., , , , , и . Int. J. Systems Science, 49 (9): 1964-1973 (2018)Application of Machine Learning algorithms for power systems fault detection., и . ICSC, стр. 127-132. IEEE, (2021)Deep Learning and Support Vector Machine Algorithms Applied for Fault Detection in Electrical Power Transmission Network., и . IntelliSys (3), том 544 из Lecture Notes in Networks and Systems, стр. 759-777. Springer, (2022)A real-time Backstepping control strategy for a doubly fed induction generator based wind energy conversion system., , , , , и . ICSC, стр. 549-554. IEEE, (2017)Modified direct feedback linearization Excitation Controller for transient stability and voltage regulation of SMIB power system., , , , и . ICSC, стр. 278-282. IEEE, (2018)Experimental control of a Doubly Fed Induction Generator based Wind Energy Conversion System., , , , , и . ICSC, стр. 142-147. IEEE, (2018)