Warianty tytułu
Języki publikacji
Abstrakty
This paper proposes a method for the diagnosis of stator inter-turn short-circuit fault for permanent magnet synchronous generators (PMSG). Inter-turn short-circuit currents are among the most critical in PMSG. For safety considerations, a fast detection is required when a fault occurs. This approach uses the parameter estimation of the per-phase stator resistance in closed-loop control of variable speed of wind energy conversion system (WECS). In the presence of an incipient short-circuit fault, the estimation of the resistance of the stator in the d-q reference frame does not make it possible to give the exact information. To solve this problem, a novel fault diagnosis scheme is proposed using parameter estimation of the per-phase stator resistance. The per-phase stator resistance of PMSG is estimated using the MRAS algorithm technique in real time. Based on a faulty PMSG model expressed in Park’s reference frame, the number of short-circuited turns is estimated using MRAS. Fault diagnosis is on line detected by analysing the estimated stator resistance of each phase according to the fault condition. The proposed fault diagnosis scheme is implemented without any extra devices. Moreover, the information on the estimated parameters can be used to improve the control performance. The simulation results demonstrate that the proposed method can estimate the faulty phase.
Czasopismo
Rocznik
Tom
Strony
109-127
Opis fizyczny
Bibliogr. 25 poz., rys., tab.
Twórcy
autor
- Higher National School of Renewable Energy, Environment and Sustainable Development, LSPIE Laboratory, Batna, Algeria
autor
- Laboratory of Innovative Technologies, COSI Team, ENST, Algiers, Algeria, samir.meradi@enst.dz
autor
- Higher National School of Renewable Energy, Environment and Sustainable Development, LSPIE Laboratory, Batna, Algeria
autor
- Laboratory LTI, University of Picardie Jules Verne, Cuffies, Soissons, France
autor
- Higher National School of Renewable Energy, Environment and Sustainable Development, LSPIE Laboratory, Batna, Algeria
Bibliografia
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- Bouslimani, S., Chrifi-Alaoui, L., Merad, S., Delahoche, L., Bussy, P. and Drid, S. (2022). Stator fault detection of the PMSG under the sliding mode control in wind energy conversion system. In: Conference: 2022 IEEE 21st International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA). Sousse, Tunisia, doi: 10.1109/ STA56120.2022.10019025.
- Bouslimani, S., Drid, S. and Chrifi-Alaoui, L. (2019). Sensorless Control and Diagnosis of Synchronous-Generator used in Wind Energy Conversion System Under Inter Turn Short-Circuit Fault. International Journal of Power and Energy Conversion (IJPEC), 10(4), p. 480. doi: 10.1504/ IJPEC.2019.10012581.
- Bouslimani, S., Drid, S., Chrifi-Alaoui, L., Bussy, P. and Hamzaoui, M. (2016). Inter-turn faults detection using park vector strategy. In: The 17th International Conference on Sciences and Techniques of Automatic Control & Computer Engineering (STA), Sousse, Tunisia, 18-21 December 2016. doi: 10.1109/STA.2016.7952082.
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- Fetene, Y. and Shibeshi, D. (2020). Fractional Order Sliding Mode Speed Control of Feedback Linearized Induction Motor. Power Electronics and Drives, 5(40), pp. 109–122. doi: 10.2478/pead-2020-0010.
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- Kallesoe, C. S., Vadstrup, P., Rasmussen, H. and Izadi-Zamanabadi, R. (2004). Estimation of Stator Winding Faults in Induction Motors using an Adaptive Observer Scheme. IEEE Industry Applications Conference, 2, pp. 1225-1232. doi: 10.1109/IAS.2004.1348569.
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Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
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