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RISS 인기검색어
- 검색키워드
- 저자 : Djaffar Ould Abdeslam (검색결과 3 건)
- 무료
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Adaptive Neural PLL for Grid-connected DFIG Synchronization
Bechouche, Ali,Abdeslam, Djaffar Ould,Otmane-Cherif, Tahar,Seddiki, Hamid The Korean Institute of Power Electronics 2014 JOURNAL OF POWER ELECTRONICS Vol.14 No.3
In this paper, an adaptive neural phase-locked loop (AN-PLL) based on adaptive linear neuron is proposed for grid-connected doubly fed induction generator (DFIG) synchronization. The proposed AN-PLL architecture comprises three stages, namely, the frequency of polluted and distorted grid voltages is tracked online; the grid voltages are filtered, and the voltage vector amplitude is detected; the phase angle is estimated. First, the AN-PLL architecture is implemented and applied to a real three-phase power supply. Thereafter, the performances and robustness of the new AN-PLL under voltage sag and two-phase faults are compared with those of conventional PLL. Finally, an application of the suggested AN-PLL in the grid-connected DFIG-decoupled control strategy is conducted. Experimental results prove the good performances of the new AN-PLL in grid-connected DFIG synchronization.
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Adaptive Neural PLL for Grid-connected DFIG Synchronization
Ali Bechouche,Djaffar Ould Abdeslam,Tahar Otmane-Cherif,Hamid Seddiki 전력전자학회 2014 JOURNAL OF POWER ELECTRONICS Vol.14 No.3
In this paper, an adaptive neural phase-locked loop (AN-PLL) based on adaptive linear neuron is proposed for grid-connected doubly fed induction generator (DFIG) synchronization. The proposed AN-PLL architecture comprises three stages, namely, the frequency of polluted and distorted grid voltages is tracked online; the grid voltages are filtered, and the voltage vector amplitude is detected; the phase angle is estimated. First, the AN-PLL architecture is implemented and applied to a real three-phase power supply. Thereafter, the performances and robustness of the new AN-PLL under voltage sag and two-phase faults are compared with those of conventional PLL. Finally, an application of the suggested AN-PLL in the grid-connected DFIG-decoupled control strategy is conducted. Experimental results prove the good performances of the new AN-PLL in grid-connected DFIG synchronization.
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S-Transform with a Compact Support Kernel and Classification Models Based Power Quality Recognition
Amirou Ahmed,Amirou Yanis,Ould-Abdeslam Djaffar 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.4
In this paper, a novel method for power quality (PQ) events recognition is presented. Nine types of PQ events consisting of single and multi-stage disturbances are considered for study. For this task, features observed in the time frequency ( t , f ) plane have been used. Synthetic PQ events are generated using mathematical models. These signals are then projected in the time-frequency plane via the ST with a Compact Support Kernel (ST-CSK) providing the time-frequency resolution, energy concentration and robustness to noise. In this plane, PQ events are localized and characterized. The extracted features are then classifi ed using several technics. The achieved results show that an overall accuracy of 100% has been obtained with Support Vector Machines and Random Forest classifi ers even with signals embedded in high Additive White Gaussian Noise level ( SNR = 5 dB ). In the same conditions, XGboost classifi er accurately detects 99.72% of PQ events.
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