Araştırma Makalesi
BibTex RIS Kaynak Göster

Development of converter configuration and corresponding control strategy for wind turbines using permanent magnet synchronous generator: A Case study

Yıl 2022, Cilt: 6 Sayı: 4, 484 - 502, 31.12.2022
https://doi.org/10.30521/jes.1025810

Öz

This study aims to investigate a feasible converter architecture and corresponding control method for Wind Turbine (WT) systems using permanent magnet synchronous generators (PMSG). The converter configuration is designed based on the AC/DC/AC converter, including the Diode Bridge Rectifier (DBR) and Pulse Width Modulated Current Source Inverter (PWM-CSI), Buck-Boost Converter (BBC), and Bypass Chopper (BC). The control strategy for the proposed converter is developed to enhance the operating performance of WT-PMSG, which must satisfy four requisitions. Firstly, it proposes the control approach for the pitch angle to control the output power of the WT when the wind speed is over the rated value. The selected control variables are the generator speed and active power. Secondly, the Maximum Power Point Tracking (MPPT) is archived to the satisfaction of the full-range operation through the control strategy for the BBC. The control strategy is applied by the Proportional Integral (PI) controller. The control variables are the generator speed and the diode rectifier's output DC current. Thirdly, the control strategy for PWM-CSI controls the voltage at the connection point and the frequency of the inverter. Fourthly, the DC-link voltage is controlled to the constant value at various operating conditions. Simulation of a 3MW and 0.69 kV WT-PMSG was carried on in PSCAD software to verify under considering the variable wind speed and the three-phase fault. The obtained results prove the feasibility of the proposed WT-PMSG system that serves as an alternative for a high-power wind energy conversion system.

Teşekkür

The author gratefully acknowledge the Industrial University of Ho Chi Minh City for the financial support and the facilities offered during this research.

Kaynakça

  • [1] Internet Web-Site: re.jrc.ec.europa.eu/pvg_tools/en/tools.html#TMY, M. GLOBAL WIND REPORT. 2021, 2021.
  • [2] Manwell, JF, McGowan, JG, Rogers, AL. Wind energy explained: theory, design and application. Hoboken, New Jersey, US: John Wiley & Sons, 2010.
  • [3] Jamieson, P, Hassan, G. Innovation in wind turbine design. Hoboken, New Jersey, US: John Wiley & Sons, 2011.
  • [4] Song, YD, Li, P, Liu, W, Qin, M. An overview of renewable wind energy conversion system modeling and control. Measurement Control 2010; 43(7): 203-208, DOI: 10.1177/002029401004300703.
  • [5] Alepuz, S, Calle, A, Busquets-Monge, S, Kouro, S, Wu, B. Use of stored energy in PMSG rotor inertia for low-voltage ride-through in back-to-back NPC converter-based wind power systems. IEEE Transactions on Industrial Electronics 2012; 60(5):1787-1796, DOI: 10.1109/TIE.2012.2190954.
  • [6] Yaramasu, V, Wu, B. Model predictive control of wind energy conversion systems. John Wiley & Sons; 2016.
  • [7] Giraldo, E, Garces, A. An adaptive control strategy for a wind energy conversion system based on PWM-CSC and PMSG. IEEE Transactions on power systems 2013; 29(3):1446-1453, DOI: 10.1109/TPWRS.2013.2283804.
  • [8] Cao, W, Xing, N, Wen, Y, Chen, X, Wang, D. New Adaptive Control Strategy for a Wind Turbine Permanent Magnet Synchronous Generator (PMSG). Inventions 2021; 6(1): 3, DOI: 10.3390/inventions6010003.
  • [9] Golshani, A, Bidgoli, MA, Bathaee, S. Design of optimized sliding mode control to improve the dynamic behavior of PMSG wind turbine with NPC back-to-back converter. International Review of Electrical Engineering 2013. 8: 1170-1180.
  • [10] Prakash, M, Joo, YH. Fuzzy Event-triggered Control for Back to Back Converter involved PMSG-based Wind Turbine Systems. IEEE Transactions on Fuzzy Systems 2021; DOI: 10.1109/TFUZZ.2021.3059949
  • [11] Yuhendri, M, Ashari, M, Purnomo, MH. Adaptive type-2 fuzzy sliding mode control for grid-connected wind turbine generator using very sparse matrix converter. International Journal of Renewable Energy Research 2015; 5(3): 668-676.
  • [12] Li, Y, Yuan, X, Li, J, Xiao, H, Xu, Z, Du, Z. Novel grid‐forming control of PMSG‐based wind turbine for integrating weak AC grid without sacrificing maximum power point tracking. IET Generation, Transmission Distribution 2021; 15(10): 1613-1625, DOI: 10.1049/gtd2.12121.
  • [13] Sharifian, MB, Mohamadrez, Y, Hosseinpou, M, Torabzade, S. Maximum power control of variable speed wind turbine connected to permanent magnet synchronous generator using chopper equipped with superconductive inductor. Journal of Applied Sciences 2009; 9(4): 777-782, DOI: 10.3923/jas.2009.777.782.
  • [14] Wang, J, Dai, J, Wu, B, Xu, D, Zargari, NR. Megawatt wind energy conversion system with diode rectifier and multilevel current source inverter. In: 2011 IEEE Energy Conversion Congress and Exposition; 17-22 Sept. 2011: IEEE, Phoenix, AZ, USA, pp. 871-876, DOI: 10.1109/ECCE.2011.6063862.
  • [15] Rahimi M. Modeling, control and stability analysis of grid connected PMSG based wind turbine assisted with diode rectifier and boost converter. International Journal of Electrical Power & Energy Systems 2017; 93: 84-96. DOl: 10.1016/j.ijepes.2017.05.019
  • [16] Wang, Xu D, Wu B, Luo Z. A low-cost rectifier topology for variable-speed high-power PMSG wind turbines. IEEE transactions on power electronics 2011; 26(8): 2192-2200. DOI: 10.1109/TPEL.2011.2106143
  • [17] Le, V, Li, X, Li, Y, Dong, TLT, Le, C. An innovative control strategy to improve the fault ride-through capability of DFIGs based on wind energy conversion systems. Energies 2016; 9(2): 69, DOI: 10.3390/en9020069.
  • [18] Dai, L, Tung, D. Modeling for Development of Simulation Tool: A Case Study of Grid-Connected Doubly Fed Induction Generator Based on Wind Energy Conversion System. International Journal of Applied Engineering Research 2017; 12(11):2981-2996.
  • [19] Nasiri, M, Milimonfared, J, Fathi, SH. A review of low-voltage ride-through enhancement methods for permanent magnet synchronous generator based wind turbines. Renewable and Sustainable Energy Reviews 2015;47:399-415. DOI: 10.1016/j.rser.2015.03.079
  • [20] Wu, B, Lang, Y, Zargari, N, Kouro, S. Power conversion and control of wind energy systems. Hoboken, New Jersey, US: John Wiley & Sons, 2011.
  • [21] Geng, H, Xu, D, Wu, B, Yang, G. Active damping for PMSG-based WECS with DC-link current estimation. IEEE Transactions on Industrial Electronics 2010; 58(4): 1110-1119. DOI: 10.1109/TIE.2010.2040568.
  • [22] Wu, B, Lang, Y, Zargari, N, Kouro, S. Power conversion and control of wind energy systems. John Wiley & Sons; 2011
  • [23] Dao, ND, Lee, DC, Lee, S. A simple and reobust sensorless control based on stator current vector for PMSG wind power systems. IEE Access 2018; 7: 8070-8080, DOI:10.1109/ACCESS.2018.2889080
  • [24] Wang, CN, Lin, WC, Le, XK. Modelling of a PMSG wind turbine with autonomous control. Mathematical Problems in Engineering 2014; 2014: 856173, DOI: 10.1155/2014/856173.
  • [25] Undeland, MN, Robbins, WP, Mohan, N. Power electronics, in Converters, Applications, and Design. Hoboken, New Jersey, US: John Wiley & Sons, 1995.
  • [26] Mahmoud MM, Aly MM, Abdel-Rahim AM. Enhancing the dynamic performance of a wind-driven PMSG implementing different optimization techniques. SN Applied Sciences 2020; 2(4):1-9. DOI: 10.1007/s42452-020-2439-3.
  • [27] Evais, A. The effect of wind turbines on subsynchronous resonance. PhD, School of Engineering Cardiff University, Cardiff, UK, 2014.
  • [28] Etxegarai, A, Eguia, P, Torres, E, Iturregi, A, Valverde, V. Review of grid connection requirements for generation assets in weak power grids. Renewable Sustainable Energy Reviews 2015: 41: 1501-1514, DOI: 10.1016/j.rser.2014.09.030.
Yıl 2022, Cilt: 6 Sayı: 4, 484 - 502, 31.12.2022
https://doi.org/10.30521/jes.1025810

Öz

Kaynakça

  • [1] Internet Web-Site: re.jrc.ec.europa.eu/pvg_tools/en/tools.html#TMY, M. GLOBAL WIND REPORT. 2021, 2021.
  • [2] Manwell, JF, McGowan, JG, Rogers, AL. Wind energy explained: theory, design and application. Hoboken, New Jersey, US: John Wiley & Sons, 2010.
  • [3] Jamieson, P, Hassan, G. Innovation in wind turbine design. Hoboken, New Jersey, US: John Wiley & Sons, 2011.
  • [4] Song, YD, Li, P, Liu, W, Qin, M. An overview of renewable wind energy conversion system modeling and control. Measurement Control 2010; 43(7): 203-208, DOI: 10.1177/002029401004300703.
  • [5] Alepuz, S, Calle, A, Busquets-Monge, S, Kouro, S, Wu, B. Use of stored energy in PMSG rotor inertia for low-voltage ride-through in back-to-back NPC converter-based wind power systems. IEEE Transactions on Industrial Electronics 2012; 60(5):1787-1796, DOI: 10.1109/TIE.2012.2190954.
  • [6] Yaramasu, V, Wu, B. Model predictive control of wind energy conversion systems. John Wiley & Sons; 2016.
  • [7] Giraldo, E, Garces, A. An adaptive control strategy for a wind energy conversion system based on PWM-CSC and PMSG. IEEE Transactions on power systems 2013; 29(3):1446-1453, DOI: 10.1109/TPWRS.2013.2283804.
  • [8] Cao, W, Xing, N, Wen, Y, Chen, X, Wang, D. New Adaptive Control Strategy for a Wind Turbine Permanent Magnet Synchronous Generator (PMSG). Inventions 2021; 6(1): 3, DOI: 10.3390/inventions6010003.
  • [9] Golshani, A, Bidgoli, MA, Bathaee, S. Design of optimized sliding mode control to improve the dynamic behavior of PMSG wind turbine with NPC back-to-back converter. International Review of Electrical Engineering 2013. 8: 1170-1180.
  • [10] Prakash, M, Joo, YH. Fuzzy Event-triggered Control for Back to Back Converter involved PMSG-based Wind Turbine Systems. IEEE Transactions on Fuzzy Systems 2021; DOI: 10.1109/TFUZZ.2021.3059949
  • [11] Yuhendri, M, Ashari, M, Purnomo, MH. Adaptive type-2 fuzzy sliding mode control for grid-connected wind turbine generator using very sparse matrix converter. International Journal of Renewable Energy Research 2015; 5(3): 668-676.
  • [12] Li, Y, Yuan, X, Li, J, Xiao, H, Xu, Z, Du, Z. Novel grid‐forming control of PMSG‐based wind turbine for integrating weak AC grid without sacrificing maximum power point tracking. IET Generation, Transmission Distribution 2021; 15(10): 1613-1625, DOI: 10.1049/gtd2.12121.
  • [13] Sharifian, MB, Mohamadrez, Y, Hosseinpou, M, Torabzade, S. Maximum power control of variable speed wind turbine connected to permanent magnet synchronous generator using chopper equipped with superconductive inductor. Journal of Applied Sciences 2009; 9(4): 777-782, DOI: 10.3923/jas.2009.777.782.
  • [14] Wang, J, Dai, J, Wu, B, Xu, D, Zargari, NR. Megawatt wind energy conversion system with diode rectifier and multilevel current source inverter. In: 2011 IEEE Energy Conversion Congress and Exposition; 17-22 Sept. 2011: IEEE, Phoenix, AZ, USA, pp. 871-876, DOI: 10.1109/ECCE.2011.6063862.
  • [15] Rahimi M. Modeling, control and stability analysis of grid connected PMSG based wind turbine assisted with diode rectifier and boost converter. International Journal of Electrical Power & Energy Systems 2017; 93: 84-96. DOl: 10.1016/j.ijepes.2017.05.019
  • [16] Wang, Xu D, Wu B, Luo Z. A low-cost rectifier topology for variable-speed high-power PMSG wind turbines. IEEE transactions on power electronics 2011; 26(8): 2192-2200. DOI: 10.1109/TPEL.2011.2106143
  • [17] Le, V, Li, X, Li, Y, Dong, TLT, Le, C. An innovative control strategy to improve the fault ride-through capability of DFIGs based on wind energy conversion systems. Energies 2016; 9(2): 69, DOI: 10.3390/en9020069.
  • [18] Dai, L, Tung, D. Modeling for Development of Simulation Tool: A Case Study of Grid-Connected Doubly Fed Induction Generator Based on Wind Energy Conversion System. International Journal of Applied Engineering Research 2017; 12(11):2981-2996.
  • [19] Nasiri, M, Milimonfared, J, Fathi, SH. A review of low-voltage ride-through enhancement methods for permanent magnet synchronous generator based wind turbines. Renewable and Sustainable Energy Reviews 2015;47:399-415. DOI: 10.1016/j.rser.2015.03.079
  • [20] Wu, B, Lang, Y, Zargari, N, Kouro, S. Power conversion and control of wind energy systems. Hoboken, New Jersey, US: John Wiley & Sons, 2011.
  • [21] Geng, H, Xu, D, Wu, B, Yang, G. Active damping for PMSG-based WECS with DC-link current estimation. IEEE Transactions on Industrial Electronics 2010; 58(4): 1110-1119. DOI: 10.1109/TIE.2010.2040568.
  • [22] Wu, B, Lang, Y, Zargari, N, Kouro, S. Power conversion and control of wind energy systems. John Wiley & Sons; 2011
  • [23] Dao, ND, Lee, DC, Lee, S. A simple and reobust sensorless control based on stator current vector for PMSG wind power systems. IEE Access 2018; 7: 8070-8080, DOI:10.1109/ACCESS.2018.2889080
  • [24] Wang, CN, Lin, WC, Le, XK. Modelling of a PMSG wind turbine with autonomous control. Mathematical Problems in Engineering 2014; 2014: 856173, DOI: 10.1155/2014/856173.
  • [25] Undeland, MN, Robbins, WP, Mohan, N. Power electronics, in Converters, Applications, and Design. Hoboken, New Jersey, US: John Wiley & Sons, 1995.
  • [26] Mahmoud MM, Aly MM, Abdel-Rahim AM. Enhancing the dynamic performance of a wind-driven PMSG implementing different optimization techniques. SN Applied Sciences 2020; 2(4):1-9. DOI: 10.1007/s42452-020-2439-3.
  • [27] Evais, A. The effect of wind turbines on subsynchronous resonance. PhD, School of Engineering Cardiff University, Cardiff, UK, 2014.
  • [28] Etxegarai, A, Eguia, P, Torres, E, Iturregi, A, Valverde, V. Review of grid connection requirements for generation assets in weak power grids. Renewable Sustainable Energy Reviews 2015: 41: 1501-1514, DOI: 10.1016/j.rser.2014.09.030.
Toplam 28 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Elektrik Mühendisliği
Bölüm Araştırma Makaleleri
Yazarlar

Van Dai Le 0000-0001-9312-0025

Yayımlanma Tarihi 31 Aralık 2022
Kabul Tarihi 19 Eylül 2022
Yayımlandığı Sayı Yıl 2022 Cilt: 6 Sayı: 4

Kaynak Göster

Vancouver Le VD. Development of converter configuration and corresponding control strategy for wind turbines using permanent magnet synchronous generator: A Case study. JES. 2022;6(4):484-502.

Journal of Energy Systems is the official journal of 

European Conference on Renewable Energy Systems (ECRES8756 and


Electrical and Computer Engineering Research Group (ECERG)  8753


Creative Commons License JES is licensed to the public under a Creative Commons Attribution 4.0 license.