OUSSAMA Djaidja
أسامة جعيجع
oussama.djaidja@univ-msila.dz
0657414647
- DEPARTEMENT OF: ELECTRICAL ENGINEERING
- Faculty of Technology
- Grade PHd
About Me
Location
Msila, Msila
Msila, ALGERIA
Code RFIDE- 1993-12-26 00:00:00
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OUSSAMA Djaidja birthday
- 2023-08-21
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2023-08-21
A New Improved Control for Power Quality Enhancement in Double Fed Induction Generator using Iterative Learning Control
This work presents a new Fault Tolerant Control approach for a doubly fed induction generator using Iterative Learning Control when the fault occurs. The goal of this research is to apply the proposed ILC controller in conjunction with vector control for doubly fed induction generator to enhance its reliability and availability under broken rotor bars. However, the performances of classical VC control are often characterized by their inability to deal with the effects of faults. To overcome these drawbacks, a combination of VC control and iterative learning control is described. The input control signal of the VC controller is gradually regulated by the ILC harmonic compensator in order to eliminate the faults effect. The improvement of this approach related to active and reactive power ripples overshoot and response time have been explained. Which active and reactive power response time have been reduced more than 84% and 87.5 % respectively. The active and reactive power overshoots have been reduced about 45% and 35% respectively. The obtained results emphasize the efficiency and the ability of the proposed FTC to enhance the power quality in faulty condition.
Citation
HEMZA Mekki , oussama djaidja , SAMIR Zeghlache , ALI Djerioui , , (2023-08-21), A New Improved Control for Power Quality Enhancement in Double Fed Induction Generator using Iterative Learning Control, DIAGNOSTYKA, Vol:24, Issue:3, pages:1-8, Licensee Polish Society of Technical Diagnostics (Warsaw. Poland).
- 2023-07-01
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2023-07-01
Power Quality Enhancement in Double Fed Induction Generator Using Iterative Learning Control
This paper presents a combination of the proposed Sliding Mode Control and a newly developed iterative learning control technique for harmonic compensation for the fault’s effect to adjust the active and reactive power to their desired references. The classical SMC cannot deal with the effect of the faults that can achieve graceful system degradation. Indeed, when there are significant disturbances, the input control signal of the SM controller is gradually adjusted by the ILC harmonic compensator in order to reject the disruptive harmonics effectively. Simulation results are given to demonstrate the effectiveness of the suggested SMC-ILC in terms of active and reactive power responses. The obtained results illustrate that the SMC-ILC strategy is valid and capable of ensuring a ripple-free operation in the presence of faults. The proposed controller is characterized by its simple design, robustness, and efficiency, which are convincing for practical application and may be used as a solution to the current Fault Tolerant Control.
Citation
HEMZA Mekki , oussama djaidja , SAMIR Zeghlache , ALI Djerioui , , (2023-07-01), Power Quality Enhancement in Double Fed Induction Generator Using Iterative Learning Control, PRZEGLĄD ELEKTROTECHNICZNY, Vol:99, Issue:7, pages:41-48, PRZEGLĄD ELEKTROTECHNICZNY, ISSN 0033-2097
- 2021
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2021
Effective Fault Tolerant Control Design for Double Fed Induction Generator
Effective Fault Tolerant Control Design for Double Fed Induction Generator
Citation
HEMZA Mekki , oussama djaidja , SAMIR Zeghlache , ALI Djerioui , ,(2021), Effective Fault Tolerant Control Design for Double Fed Induction Generator,Ejons 13th International Conference on Mathematics, Engineering, Natural & Medical Sciences,Nevşehir, Turkey
- 2021
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2021
FAULT-TOLERANT CONTROL BASED ON SLIDING MODE CONTROLLER FOR DOUBLE-FED INDUCTION GENERATOR
FAULT-TOLERANT CONTROL BASED ON SLIDING MODE CONTROLLER FOR DOUBLE-FED INDUCTION GENERATOR
Citation
HEMZA Mekki , oussama djaidja , ,(2021), FAULT-TOLERANT CONTROL BASED ON SLIDING MODE CONTROLLER FOR DOUBLE-FED INDUCTION GENERATOR,Ahi Evran International Conference on Scientific Research 30 November – 1-2 December, 2021,Ahi Evran university, Turkey