Performance Analysis of Grid-Connected Wind Turbine System Under Inter-Turn-Short-Circuit Fault Conditions

takwa sellami, hanen berriri, sana jelassi, abdel moumen darcherif, med faouizi mimouni

Abstract


- This paper aims to analyze the performance of a variable-speed wind turbine system under internal faulty conditions. Thus, a wind turbine grid-connected system driven three-phase induction generator is modeled. The turbine mathematical model controlled by Maximum Power Point Tracking (MPPT) method is presented. The mathematical model of the Induction Generator (IG) is also set up in the (abc)-reference frame. Indirect Rotor Flux Oriented Control (IRFOC) technique is developed to control the IG. Afterwards, Inter-Turn Short-Circuit (ITSC) fault affecting the stator windings of the system IG is investigated. Different severity cases of the ITSC fault are considered in order to assess the fault impact on the system continuity of service and the quality of the supplied power to the grid signal. The ITSC fault effects on the turbine, the generator and the stator-side converter are discussed. Simulations, realized under MATLAB/SIMULINK below both healthy and faulty conditions, highlight the system requirement of a quick detection algorithm sensitive to short-circuit fault.


Keywords


Wind turbine grid-connected system, inter-turn short-circuit fault, maximum power Point tracking, indirect Rotor flux oriented control

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References


JM. Carrasco, LG. Franquelo, JT. Bialasiewicz, E. Galván, RC. PortilloGuisado, MM. Prats and N. Moreno-Alfonso ,“Power-Electronic Systems for the Grid Integration of Renewable Energy Sources: A Survey,†IEEE Transactions on industrial electronics, VOL. 53, NO. 4, August 2006.

YS. Hameed, YS. Hong, YM. Cho, SH. Ahn, and CK. Song, “Condition monitoring and fault detection of wind turbine and related algorithms: A review,†Renewable and sustainable energy reviews, Volume 13, Issue 1, Pages 1–39, January 2009.

T. Sellami, H. Berriri, S. Jelassi and M.F. Mimouni, “Sliding Mode Observer-Based Fault-Detection of Inter-Turn Short-Circuit in Induction Motor,†14th international conference on Sciences and Techniques of Automatic control & computer engineering - STA'2013, 978-1-4799-2954-2/13/$31.00 ©2013 IEEE.

P.C.M. Lamim Filh, R. Pederiva and J.N. Brito, “Review Detection of stator winding faults in induction machines using flux and vibration analysis,†Mechanical Systems and Signal Processing , Elsevier 2014.

RR. Schoen, BK. Lin, TG. Habetler, JH. Schlag and S. Farag, “An unsupervised, on-line system for induction motor fault detection using stator current monitoring,†IEEE Transactions on Industry Applications 1995.

CC. Ciang, L. Jung-Ryul and B. Hyung-Joon, “Structural health monitoring for a wind turbine system: a review of damage detection methods,†Measurement Science and Technology, October 2008.

AG. Abo-Khalil and L. Dong-Choon, “MPPT control of wind generation systems based on estimated wind speed using SVR,†IEEE Transactions on Industrial Electronics 55.3 : 1489-1490, 2008.

S. Krim, S. Gdaim, A. Mtibaa and MF. Mimouni, “FPGA Contribution in Photovoltaic Pumping Systems: Models of MPPT and DTC-SVM Algorithms,†International Journal of Renewable Energy Research (IJRER), 6(3), 866-879, 2016.

H. Tajima and H. Yoichi, “Speed sensorless field-orientation control of the induction machine,†IEEE Transactions on Industry Applications 29.1: 175-180, 1993.

TA. Tapia, G. Tapia, J.X. Ostolaza, and JR. Sáenz, “Modeling and Control of a Wind Turbine Driven Doubly Fed Induction Generator,†IEEE Transactions on energy conversion, vol. 18, NO. 2, JUNE 2003.

S. Toumi, S. Benelghali, M. Trabelsi, E. Elbouchikhi, Y. Amirat, M. Benbouzid and MF. Mimouni, “Modeling and Simulation of a PMSG-based Marine Current Turbine System under Faulty Rectifier Conditions,†Electric Power Components and Systems, 45(7), 715-725, 2017.

T. Sellami, H. Berriri, S. Jelassi, AM. Darcherif and M.F. Mimouni, “3D Finite Volume model for free and forced vibrations computation in on-shore wind turbines," In Information and Digital Technologies (IDT), 2017 International Conference on (pp. 104-108). IEEE, July 2017 .

T. Sellami, H. Berriri, AM. Darcherif, S. Jelassi and M.F. Mimouni, “Modal and harmonic analysis of three-dimensional wind turbine models,†Wind Engineering, 40(6), 518-527, 2016.

GM. Joksimovic and J. Penman, “The detection of inter-turn short circuits in the stator windings of operating motors,†IEEE Transactions on Industrial Electronics, 47(5), 1078-1084, 2000.

F. Grouz, L. Sbita and M. Boussak, “PSO based Multiple and Simultaneous Inter-Turn Short Circuit Faults Diagnosis of PMSG for Wind Turbine Applications,†International Journal Transactions on Systems, Signals and Devices, Issues on Power Electrical Systems, 2017.

E. Artigao, A. Honrubia-Escribano and E. Gomez-Lazaro, “Current signature analysis to monitor DFIG wind turbine generators: A case study,†Renewable Energy 2017.

A. Gandhi, T, Corrigan and L. Parsa, “Recent advances in modeling and online detection of stator interturn faults in electrical motors,†IEEE Transactions on Industrial Electronics, 58(5), 1564-1575, 2011.

T. Sellami, H. Berriri, S. Jelassi, AM. Darcherif and M.F. Mimouni, “Impact of Inter-Turn Short-Circuit Fault on Wind Turbine Driven Squirrel-Cage Induction Generator Systems,†In Conférence Internationale en Sciences et Technologies Electriques au Maghreb CISTEM 2014, November 2014.

Y. Krim, S. Krim and MF. Mimouni, “Control of a Wind Farm Connected to the Grid at a Frequency and Variable Voltage,†International Journal of Renewable Energy Research (IJRER), 6(3), 747-758, 2016.

M. Riera-Guasp, JA. Antonino-Daviu and GA. Capolino, “Advances in electrical machine, power electronic, and drive condition monitoring and fault detection: state of the art,†IEEE Transactions on Industrial Electronics, 62(3), 1746-1759, 2015.

T. Sellami, H. Berriri, S. Jelassi, A. M Darcherif and M.F. Mimouni, “Sliding Mode Observers-based Fault Detection and Isolation for Wind Turbine-Driven Induction Generator,†International Journal of Power Electronics and Drive Systems (IJPEDS), 8(3), 2017.




DOI (PDF): https://doi.org/10.20508/ijrer.v8i1.6814.g7312

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