Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon free Distributed virtual inertia control and stability analysis of dc microgrid

  • Author(s): Xiaorong Zhu 1 ; Zhiyun Xie 1 ; Shuzhi Jing 2 ; Hui Ren 1
    • View affiliations
  • Source: Volume 12, Issue 14, 14 August 2018, p. 3477 – 3486
    DOI:  10.1049/iet-gtd.2017.1520 , Print ISSN 1751-8687, Online ISSN 1751-8695
© The Institution of Engineering and Technology
Received 26/09/2017, Accepted 27/04/2018, Revised 03/04/2018, Published 15/05/2018

A dc microgrid is a low inertia system dominated by power converters. As a result, the change rate of the dc voltage is very fast under power variation. In this study, a distributed virtual inertia control is proposed to enhance the inertia of the dc microgrid and decrease the change rate of the dc voltage. The inertia of the dc microgrid can be enhanced by the kinetic energy in the rotor of the permanent magnet synchronous generators (PMSG)-based wind turbine, the energy stored in batteries and the energy from the utility grid. By introducing a virtual inertia control coefficient, a general expression of the inertial power provided by each controllable power sources is defined. The proposed inertia control is simply a first-order inertia loop and is implemented in the grid-connected converter, the battery interfaced converter and the PMSG interfaced converter, respectively. The small-signal model of the dc microgrid with the proposed inertia control is established. The range of virtual inertia control coefficient is determined through stability analysis. Finally, a typical dc microgrid is built and simulated in Matlab/Simulink, and the effectiveness of the proposed control strategy and correctness of the stability analysis are verified.

Inspec keywords: power generation control; rotors; power grids; distributed control; wind power plants; permanent magnet generators; power convertors; power system stability; distributed power generation; synchronous generators; battery storage plants; wind turbines

Other keywords: virtual inertia control coefficient; PMSG interfaced converter; inertial power general expression; small-signal model; permanent magnet synchronous generators; kinetic energy; power variation; Matlab-Simulink; rotor; utility grid; DC microgrid stability analysis; wind turbine; grid-connected converter; batteries; first-order inertia loop; battery interfaced converter; distributed virtual inertia control; low inertia system; dc voltage change rate; power converters; controllable power sources

Subjects: Distributed power generation; Power convertors and power supplies to apparatus; Power system control; Other power stations and plants; Multivariable control systems; Wind power plants; Synchronous machines; Control of electric power systems

References

    1. 1)
      • 12. Liu, J., Miura, Y., Ise, T.: ‘Comparison of dynamic characteristics between virtual synchronous generator and droop control in inverter-based distributed generators’, IEEE Trans. Power Electron., 2016, 31, (5), pp. 3600–3611.
    2. 2)
      • 1. Dragicevic, T., Lu, X., Vasquez, J.C., et al: ‘DC microgrids-part I: a review of control strategies and stabilization techniques’, IEEE Trans. Power Electron., 2016, 31, (7), pp. 4876–4891.
    3. 3)
      • 16. Schonberger, J., et al: ‘DC-bus signaling: a distributed control strategy for a hybrid renewable nanogrid’, IEEE Trans. Ind. Electron., 2006, 53, (5), pp. 1453–1460.
    4. 4)
      • 2. Cairoli, P., Kondratiev, I., Dougal, R.A.: ‘Coordinated control of the bus tie switches and power supply converters for fault protection in DC microgrids’, IEEE Trans. Power Electron., 2013, 28, (4), pp. 2037–2047.
    5. 5)
      • 6. Liu, B., Zhuo, F., Zhu, Y., et al: ‘System operation and energy management of a renewable energy-based DC micro-grid for high penetration depth application’, IEEE Trans. Smart Grid, 2015, 6, (3), pp. 1147–1155.
    6. 6)
      • 4. Zhou, T., Francois, B.: ‘Energy management and power control of a hybrid active wind generator for distributed power generation and grid integration’, IEEE Trans. Power Electron., 2011, 58, (1), pp. 95–104.
    7. 7)
      • 21. Zhu, X., Cai, J., Yan, Q., et al: ‘Virtual inertia control of wind-battery-based islanded dc micro-grid’. Proc. Int. Conf. on Renewable Power Generation, Beijing, China, October 2015, pp. 1–6.
    8. 8)
      • 9. Zhong, Q.C., Nguyen, P.L., Ma, Z.Y., et al: ‘Self-synchronized synchronverters: inverters without a dedicated synchronization unit’, IEEE Trans. Power Electron., 2014, 29, (2), pp. 617–630.
    9. 9)
      • 8. Zhong, Q.C., Weiss, G.: ‘Synchronverters: inverters that mimic synchronous generators’, IEEE Trans. Ind. Electron., 2011, 58, (4), pp. 1259–1267.
    10. 10)
      • 10. Shintai, T., Miura, Y., Ise, T.: ‘Oscillation damping of a distributed generator using a virtual synchronous generator’, IEEE Trans. Power Deliv., 2014, 29, (2), pp. 668–676.
    11. 11)
      • 15. Unamuno, E., Barrena, J.A.: ‘Design and small-signal stability analysis of a virtual-capacitor control for DC microgrids’. Proc. European Conf. on Power Electronics and Applications, Warsaw, Poland, September 2017, pp. 1–10.
    12. 12)
      • 14. Wu, W., Chen, Y., Luo, A., et al: ‘A virtual inertia control strategy for DC microgrids analogized with virtual synchronous machines’, IEEE Trans. Ind. Electron., 2017, 64, (7), pp. 6005–6016.
    13. 13)
      • 3. Chen, Y.-K., Wu, Y.-C., Song, C.-C., et al: ‘Design and implementation of energy management system with fuzzy control for DC microgrid systems’, IEEE Trans. Power Electron., 2013, 28, (4), pp. 1563–1570.
    14. 14)
      • 20. Jin, Z., Meng, L., Han, R., et al: ‘Admittance-type RC-mode droop control to introduce virtual inertia in DC microgrids’. Proc. IEEE Energy Conversion Congress and Exposition (ECCE), Cincinnati, OH, USA, October 2017, pp. 4107–4112.
    15. 15)
      • 11. Alipoor, J., Miura, Y., Ise, T.: ‘Power system stabilization using virtual synchronous generator with alternating moment of inertia’, IEEE J. Emerg. Sel. Top. Power Electron., 2015, 3, (2), pp. 451–458.
    16. 16)
      • 18. Chen, D., Xu, L., Yao, L.Z.: ‘DC voltage variation based autonomous control of DC microgrids’, IEEE Trans. Power Deliv., 2013, 28, (2), pp. 637–648.
    17. 17)
      • 17. Xu, L., Chen, D.: ‘Control and operation of a DC microgrid with variable generation and energy storage’, IEEE Trans. Power Deliv., 2011, 26, (4), pp. 2513–2522.
    18. 18)
      • 13. Liu, J., Miura, Y., Bevrani, H., et al: ‘Enhanced virtual synchronous generator control for parallel inverters in microgrids’, IEEE Trans. Smart Grid, 2017, 8, (5), pp. 2268–2277.
    19. 19)
      • 19. Wang, C., Meng, J., Wang, Y., et al: ‘Adaptive virtual inertia control for DC microgrid with variable droop coefficient’. Proc. Int. Conf. on Electrical Machines and Systems (ICEMS), Sydney, NSW, Australia, August 2017, pp. 1–5.
    20. 20)
      • 7. Liu, B., Zhuo, F., Bao, X.: ‘Control method of the transient compensation process of a hybrid energy storage system based on battery and ultra-capacitor in micro-grid’. Proc. IEEE ISIE Conf., Hangzhou, China, May 2012, pp. 1325–1329.
    21. 21)
      • 5. Lyu, X., Xu, Z., Zhao, J., et al: ‘Advanced frequency support strategy of photovoltaic system considering changing working conditions’, IET Gener. Transm. Distrib., 2018, 12, (2), pp. 363–370.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-gtd.2017.1520
Loading

Related content

content/journals/10.1049/iet-gtd.2017.1520
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
Print this page
This is a required field
Please enter a valid email address