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Wind energy conversion system control robustness based on current analysis of IGBT open-circuit fault

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Warianty tytułu
PL
System przetwarzania energii wiatrowej z odpornym sterowaniem bazującym na analizie prądu w układzie IGBT
Języki publikacji
EN
Abstrakty
EN
This paper deals with the study of the performance of a wind energy conversion system (WECS) based on a doubly fed induction generator (DFIG) under the IGBT open-circuit fault of the rotor side converter (RSC) during the application of robust control techniques, such as backstepping control (BSC) and sliding mode control (SMC). The presence of IGBT open-circuit faults in DFIG-WECS can disrupt service continuity resulting in financial loss. To overcome such a problem, robust control techniques are usually used as a solution. These control techniques are well known for their ability to treat non-linear structures as power electronics converters and to maintain the performance and stability of the DFIG-WECS connected to the network by the back-to-back converter in healthy and faulty operations. The aim of using robust non-linear control techniques is to obtain better performance and to extend the DFIG-WECS functionality in degraded mode in the event of a failure, and consequently to increase its reliability, unlike the proportional integral (PI) controller which shows less robustness when DFIG non-linearities are considered. The results obtained from these control techniques illustrate well the merits and the effectiveness of each of them in the case of healthy and faulty operations, in particular for the BSC technique, which shows a better performance compared to the SMC technique, which faces the main problem associated with discontinuous control.
PL
Przedstawiono analizę właściwości systemu energii wiatrowej bazującego na igeneratorze DFIG w obwodzie IGBT z zastosowaniem odpornego sterowania typu backstepping BSC I sterowania ślizgowego SMC. Zastosowano nieliniową technikę sterowania. Badania symulacyjne wykazały odporność systemu zarówno w warunkach zdrowych jak i przy pojawieniu się błędów.
Rocznik
Strony
14--24
Opis fizyczny
Bibliogr. 23 poz., rys.
Twórcy
  • University of Ibn Khaldun, BP P 78 zaâroura 14000, Tiaret, Algeria
  • University of Sciences & Technology Mohamed Boudiaf (USTOMB), BP 1505 El-M'naouar, Oran, Algeria
  • University of Sciences & Technology Mohamed Boudiaf (USTO-MB), BP 1505 El-M'naouar, Oran, Algeria
  • University of Sciences & Technology Mohamed Boudiaf (USTO-MB), BP 1505 El-M'naouar, Oran, Algeria
Bibliografia
  • [1] Marcelo N., Yves M., Michel K., Jan H., Johan G. (2018) “Robust Power-Electronic Converter Fault Detection and Isolation Technique for DFIG Wind Turbines”, IOP Conf. Series: Journal of Physics: Conf. Series 1037 032043 2018.
  • [2] ZHANG J., CHEN Y., CHEN Z., ZHOU A. (2019) “Open-Switch Fault Diagnosis Method in Voltage-Source Inverters Based on Phase Currents”, IEEE access VOLUME 7 doi:10.1109/ACCESS.2019.2913164 .
  • [3] Stefan B., Elena K., Jyotirmoy R., Ralph G. (2018) “Impact of Component Reliability on Large Scale Photovoltaic Systems’ Performance”, Energies 2018, 11, 1579; doi:10.3390/en11061579 .
  • [4] Niraj K., Tapan P., Jitendra K., Krishna K. (2019) "Open-circuit fault-tolerance in multilevel inverters with reduced component count" Electrical Engineering, https://doi.org/10.1007/s00202- 019-00884-9 2019.
  • [5] Ajaykumar T., Nita R. (2019) "Fault-tolerant switched capacitor– based boost multilevel inverter" Electrical Engineering, Int J Circ Theor Appl. 2019;1–15., DOI: 10.1002/cta.2671 2019.
  • [6] Ayushi S., Akhilesh K., Paulson S, (2017) “A Review of MPPT Algorithms Employed in Wind Energy Conversion Systems”, Journal of Green Engineering, Vol. 6 4, 385–402, doi: 10.13052/jge1904-4720.643.
  • [7] Amina Tamer., Djilali Toumi., Azzedine Bendiabdellah., Bilal Djamal Eddine Cherif.,(2017) ’’Open Switch Fault Detection and Fault Tolerant of Power Converter Fed DFIG in WECS’’, International Review of Automatic Control (I.RE.A.CO.), Vol. 10, N. 3, 2017 Copyright © 2017 Praise Worthy Prize.
  • [8] Mahalakshmi R., Sindhu T., (2019) “Detailed modelling and development of a laboratory prototype for the analysis of subsynchronous resonance in DFIG¬based wind farm”, Int Trans Electr Energ Syst.2020;e12245, DOI: 10.1002/2050 7038.12245.
  • [9] Asha Ram K, (2018) “Vector Control Strategy to Control Active and Reactive Power of Doubly Fed Induction Generator Based Wind Energy Conversion system”, Proceedings of the 2nd International Conference on Trends in Electronics and Informatics (ICOEI 2018).
  • [10] Van T., Nguyen T., Lee D (2015). “Advanced Pitch Angle Control Based on Fuzzy Logic for Variable-Speed Wind Turbine Systems“. IEEE Trans. Energy Convers. 2015, PP, 1– 10.
  • [11] Belkacem B., Tayeb A., Mohamed T., Mouloud D, (2019) “Comparative study of back-stepping controller and super twisting sliding mode controller for indirect power control of wind generator”, Int J Syst Assur Eng Manag https://doi.org/10.1007/s13198-019-00905-7.
  • [12] Riyadh Rouabhi ., Chouder Aissa and Ali Djerioui. (2015) "hybride backstepping control of a doubly fed wind energy induction generator "reasearchgate, The Mediterranean Journal of Measurement and Control, Vol. 11 No. 1, 2015.
  • [13] Riyadh Rouabhi ., Rachid Abdessemed., Aissa Chouder and Ali Djerioui (2015) “Power Quality Enhancement of Grid Connected Doubly-Fed Induction Generator Using Sliding Mode Control“ International Review of Electrical Engineering (I.R.E.E.), Vol. 10, N. 2 apr 2015.
  • [14] OM PRAKASH M., NEERAJ G., MAHDI K., NILESH P, (2019) “Comprehensive Overview of Low Voltage Ride Through Methods of Grid Integrated Wind Generator “, Comprehensive Overview of LVRT Methods of Grid Integrated Wind Generator, VOLUME 7, 2019, DOI 10.1109/ACCESS.2019.2930413.
  • [15] Nur S., Paul M., Judith M., Yingzhao W, (2018) “DFIG Stator Flux Oriented Control Scheme Execution for Test Facilities Utilising Commercial Converters “, IET Renewable Power Generation 2018, DOI: 10.1049/iet-rpg.2018.5195.
  • [16] Bossoufi B., Karim M., Lagrioui A., Taoussi M., Derouich A., (2015) “Observer Backstepping control of DFIG-Generators for Wind Turbines Variable-Speed: FPGA Based Implementation” Renewable Energy Journal (ELSIVER), pp 903-917, Vol. 81. September 2015.
  • [17] Benbouhenni H., Boudjema Z., Belaidi A., Yingzhao W, (2018) “Direct Vector Control of a DFIG Supplied by an Intelligent SVM Inverter for Wind Turbine System “,Iranian Journal of Electrical and Electronic Engineering, Vol. 15, No. 1, March 2019 DOI:10.22068/IJEEE.15.1.45.
  • [18] Ciprian M., Adriana F., Constantin D., (2020) “Improving the E_ciency and Sustainability of Power Systems Using Distributed Power Factor Correction Methods”. Sustainability 2020, 12, 3134; doi:10.3390/su12083134.
  • [19] Sara M., Ahmed E., Issam M., Tamou N, (2018) “Backstepping Controller for a Variable Wind Speed Energy Conversion System Based on a DFIG “,International Science Index, Electrical and Computer Engineering Vol:12, No:9, 2018 waset.org/Publication/10009495.
  • [20] Mohamed N., Ahmed E., Tamou N, (2020) “Coordinated Control Using Backstepping of DFIG-Based Wind Turbine for Frequency Regulation in High Wind Energy Penetrated System “,Mathematical Problems in Engineering, Volume 2020, Article ID 8287949, 16 pages, https://doi.org/10.1155/2020/8287949.
  • [21] Douadi T., Harbouche Y., Abdessemed R.., Bakhti I, (2018) “Improvement Performances of Active and Reactive Power Control Applied to DFIG for Variable Speed Wind Turbine Using Sliding Mode Control and FOC “, International Journal of Engineering (IJE), IJE TRANSACTIONS A: Basics Vol. 31, No. 10, (October 2018) 1689-1697.
  • [22] Larbi D., Edgar N., Mohammed B, (2020) “First and High Order Sliding Mode Control of a DFIG-Based Wind Turbine “,Electric Power Components and Systems, DOI: 10.1080/15325008.2020.1758836.
  • [23] Abdenour Abdelli., (2007) “Optimisation multicritere d’une chaîne éolienne passive “. PHD thesis of the national polytechnic institute of Toulouse., Plasma and Energy Conversion laboratory, order N°: 2519.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b93c3d2c-5716-47d4-a9f3-43e641918c7a
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