single-jc.php

JACIII Vol.24 No.7 pp. 882-890
doi: 10.20965/jaciii.2020.p0882
(2020)

Paper:

Terminal Voltage Control Scheme of Stand-Alone Wind Energy Conversion System with Battery Energy Storage System

Dan-Yun Li*,**, Dong-Ming Yang*,**,†, and Zhen-Tao Liu*,**

*School of Automation, China University of Geosciences
No.388 Lumo Road, Hongshan District, Wuhan, Hubei 430074, China

**Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System
No.388 Lumo Road, Hongshan District, Wuhan, Hubei 430074, China

Corresponding author

Received:
October 20, 2020
Accepted:
October 27, 2020
Published:
December 20, 2020
Keywords:
stand-alone mode, battery energy storage system, equivalent-input-disturbance, model predictive control
Abstract
Terminal Voltage Control Scheme of Stand-Alone Wind Energy Conversion System with Battery Energy Storage System

Stand-alone DFIG WECS with BESS

The terminal voltage is easily affected by the characteristics of loads and variations in wind speed, loads and system parameters in a stand-alone wind energy conversion system. This paper presents a terminal voltage control scheme that combines the equivalent-input-disturbance (EID) and model predictive control (MPC). The total disturbance is observed and compensated in real time by the EID. A battery energy storage system based on MPC is employed to smooth the fluctuation and imbalance in power caused by the variation in wind speed and loads, thereby solving the problem of terminal voltage flicker and instability. The appropriate terminal voltage can be obtained using the proposed scheme, which is a simple design and offers good prospects for actual applications. The simulation results demonstrate the validity of the proposed scheme.

Cite this article as:
Dan-Yun Li, Dong-Ming Yang, and Zhen-Tao Liu, “Terminal Voltage Control Scheme of Stand-Alone Wind Energy Conversion System with Battery Energy Storage System,” J. Adv. Comput. Intell. Intell. Inform., Vol.24, No.7, pp. 882-890, 2020.
Data files:
References
  1. [1] “IEEE Standard for Interconnecting Distributed Resources with Electric Power Systems: IEEE Std 1547-2003,” IEEE, 2003.
  2. [2] F. Blaabjerg, R. Teodorescu, M. Liserre, and A. V. Timbus, “Overview of Control and Grid Synchronization for Distributed Power Generation Systems,” IEEE Trans. on Industrial Electronics, Vol.53, No.5, pp. 1398-1409, 2006.
  3. [3] R. Cardenas, R. Pena, S. Alepuz, and G. Asher, “Overview of Control Systems for the Operation of DFIGs in Wind Energy Applications,” IEEE Trans. on Industrial Electronics, Vol.60, No.7, pp. 2776-2798, 2013.
  4. [4] D. Li, Q. Shen, Z. Liu, and H. Wang, “Control of a Stand-Alone Wind Energy Conversion Systemvia a Third-Harmonic Injection Indirect Matrix Converter,” J. Adv. Comput. Intell. Intell. Inform., Vol.20, No.3, pp. 438-447, doi: 10.20965/jaciii.2016.p0438, 2016.
  5. [5] D. Forchetti, G. Garcia, and M. I. Valla, “Vector control strategy for a doubly-fed stand-alone induction generator,” 28th Annual Conf. of the Industrial Electronics Society (IECON’02), 2002.
  6. [6] H. M. El-Helw and S. B. Tennakoon, “Vector Control of a Doubly Fed Induction Generator for Standalone Wind Energy Application,” 2008 Wind Power to the Grid – EPE Wind Energy Chapter 1st Seminar, 2011.
  7. [7] B. Touaiti, H. B. Azza, and M. Jemli, “Direct voltage control of stand-alone DFIG in wind energy applications,” 2015 16th Int. Conf. on Sciences and Techniques of Automatic Control and Computer Engineering (STA), pp. 672-677, 2015.
  8. [8] H. Zhao, Q. Wu, S. Hu, H. Xu, and C. N. Rasmussen, “Review of energy storage system for wind power integration support,” Applied Energy, Vol.137, pp. 545-553, 2015.
  9. [9] M. Drugǎ, C. Nichita, G. Barakat, and E. Ceangǎ, “Stand-Alone Wind Power System Operating with Different Storage Structures,” J. of Energy and Power Engineering, Vol.5, No.5, pp. 385-391, 2011.
  10. [10] X. Li, Y. Sun, M. Su, and H. Wang, “Coordinated control for unbalanced operation of stand-alone doubly fed induction generator,” Wind Energy, Vol.17, No.2, pp. 317-336, 2014.
  11. [11] V.-T. Phan and H.-H. Lee, “Performance enhancement of stand-alone DFIG systems with control of rotor and load side converters using resonant controllers,” IEEE Trans. on Industry Applications, Vol.48, No.1, pp. 199-210, 2011.
  12. [12] L. Chen, J. Yang, S. Chen, Q. Wang, and J. Wu, “Auto disturbance rejection control of doubly-fed induction generator for wind turbine in stand-alone mode,” Renewable Energy Resources, Vol.33, No.2, pp. 189-195, 2015 (in Chinese and English abstract).
  13. [13] D.-Y. Li, Q.-T. Shen, Z.-T. Liu, H. Wang, M. Ding, and F. Liu, “Auto-disturbance rejection control for the stator voltage in a stand-alone DFIG-based wind energy conversion system,” 2016 35th Chinese Control Conf. (CCC), 2016.
  14. [14] D.-Y. Li, Q.-T. Shen, Z.-T. Liu, and H. Wang, “Improved control scheme of stand-alone DFIG-based wind energy conversion system with battery energy storage system,” Int. J. of Computer Applications in Technology, Vol.54, No.3, pp. 211-219, 2016.
  15. [15] D. B. W. Abeywardana, B. Hredzak, and V. G. Agelidis, “A fixed-frequency sliding mode controller for a boost-inverter-based battery-supercapacitor hybrid energy storage system,” IEEE Trans. on Power Electronics, Vol.32, No.1, pp. 668-680, 2016.
  16. [16] N. Chettibi, A. Mellit, G. Sulligoi, and A. M. Pavan, “Adaptive neural network-based control of a hybrid AC/DC microgrid,” IEEE Trans. on Smart Grid, Vol.9, No.3, pp. 1667-1679, 2016.
  17. [17] H. Yin, W. Zhou, M. Li, C. Ma, and C. Zhao, “An adaptive fuzzy logic-based energy management strategy on battery/ultracapacitor hybrid electric vehicles,” IEEE Trans. on Transportation Electrification, Vol.2, No.3, pp. 300-311, 2016.
  18. [18] J.-H. She, M. Fang, Y. Ohyama, H. Hashimoto, and M. Wu, “Improving Disturbance-Rejection Performance Based on an Equivalent-Input-Disturbance Approach,” IEEE Trans. on Industrial Electronics, Vol.55, No.1, pp. 380-389, 2008.
  19. [19] Y. Shan, J. Hu, Z. Li, and J. M. Guerrero, “A Model Predictive Control for Renewable Energy Based AC Microgrids without Any PID Regulators,” IEEE Trans. on Industrial Electronics, Vol.33, No.11, pp. 9122-9126, 2018.
  20. [20] J. Hu and K. W. E. Cheng, “Predictive control of power electronics converters in renewable energy systems,” Energies, Vol.10, No.4, pp. 1-14, 2017.
  21. [21] D. E. Quevedo, R. P. Aguilera, M. A. Perez, P. Cortes, and R. Lizana, “Model predictive control of an AFE rectifier with dynamic references,” IEEE Trans. on Power Electronics, Vol.27, No.7, pp. 3128-3136, 2011.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Aug. 03, 2021