http://iet.metastore.ingenta.com
1887

access icon openaccess Game theory-based optimal deloading control of wind turbines under scalable structures of wind farm

  • XML
    137.9990234375Kb
  • PDF
    1.917038917541504MB
  • HTML
    163.037109375Kb
Loading full text...

Full text loading...

/deliver/fulltext/iet-cps/3/4/IET-CPS.2018.0027.html;jsessionid=4nl7c2ufm0hvn.x-iet-live-01?itemId=%2fcontent%2fjournals%2f10.1049%2fiet-cps.2018.0027&mimeType=html&fmt=ahah

References

    1. 1)
      • 1. Almeida, R.G.De, Castronuovo, E.D., Lopes, J.A.P.: ‘Optimum generation control in wind parks when carrying out system operator requests’, IEEE Trans. Power Syst., 2006, 21, (2), pp. 718725.
    2. 2)
      • 2. Xue, Y., Tai, N.: ‘Review of contribution to frequency control through variable speed wind VSWT’, Renew. Energy, 2011, 36, (6), pp. 16711677.
    3. 3)
      • 3. Qu, L., Qiao, W.: ‘Constant power control of DFIG wind VSWTs with supercapacitor energy storage’, IEEE Trans. Ind. Appl., 2011, 47, (1), pp. 359367.
    4. 4)
      • 4. Li, Y., Xu, Z., Meng, K.: ‘Optimal power sharing control of wind VSWTs’, IEEE Trans. Power Syst., 2017, 32, (1), pp. 824825.
    5. 5)
      • 5. Baccino, F., Conte, F., Grillo, S., et al: ‘An optimal model-based control technique to improve wind farm participation to frequency regulation’, IEEE Trans. Sustain. Energy, 2015, 6, (3), pp. 9931003.
    6. 6)
      • 6. Keung, P.-K., Li, P., Banakar, H., et al: ‘Kinetic energy of wind VSWT generators for system frequency support’, IEEE Trans. Power Syst., 2009, 24, (1), pp. 279287.
    7. 7)
      • 7. Zhang, W., Xu, Y., Liu, W., et al: ‘Fully distributed coordination of multiple DFIGs in a microgrid for load sharing’, IEEE Trans. Smart Grid, 2013, 4, (2), pp. 806815.
    8. 8)
      • 8. Xin, H., Qu, Z., Seuss, J., et al: ‘A self-organizing strategy for power flow control of photovoltaic generators in a distribution network’, IEEE Trans. Power Syst., 2011, 26, (3), pp. 14621473.
    9. 9)
      • 9. Xin, H., Lu, Z., Qu, Z., et al: ‘A cooperative control strategy for multiple photovoltaic generators in distribution networks’, IET Control Theory Applic., 2011, 5, (4), pp. 16171629.
    10. 10)
      • 10. Angeli, D., Rijcke, S.D., Strbac, G.: ‘Distributed frequency control by means of responsive wind generation’. The 51st IEEE Conf. Decision and Control (CDC), Maui, HI, 2012, pp. 58345839.
    11. 11)
      • 11. Marden, J.R., Ruben, S.D., Pao, L.Y.: ‘A model-free approach to wind farm control using game theoretic methods’, IEEE Trans. Control Syst. Technol., 2013, 21, (4), pp. 12071214.
    12. 12)
      • 12. De Rijcke, S., Tielens, P., Rawn, B., et al: ‘Trading energy yield for frequency regulation: optimal control of kinetic energy in wind farms’, IEEE Trans. Power Syst., 2015, 30, (5), pp. 24692478.
    13. 13)
      • 13. Saad, W., Han, Z., Poor, H.V., et al: ‘Game-theoretic methods for the smart grid: an overview of microgrid systems, demand-side management, and smart grid communications’, IEEE Signal Process. Mag., 2012, 29, (5), pp. 86105.
    14. 14)
      • 14. Attya, A.B.T., Hartkopf, T.: ‘Control and quantification of kinetic energy released by wind farms during power system frequency drops’, IET Renew. Power Gener., 2013, 7, (3), pp. 210224.
    15. 15)
      • 15. Qu, Z.: ‘Cooperative control of dynamical systems: applications to autonomous vehicles’ (Springer Verlag, London, 2009).
    16. 16)
      • 16. Marden, J.R.: ‘State based potential games’, Automatica, 2012, 48, (12), pp. 30753088.
    17. 17)
      • 17. Li, N., Marden, J.R.: ‘Designing games for distributed optimization’, IEEE J. Sel. Top. Signal Process., 2013, 7, (2), pp. 230242.
    18. 18)
      • 18. Zhang, J., Qi, D., Zhao, G.: ‘A new game model for distributed optimization problems with directed communication topologies’, Neurocomputing, 2015, 148, pp. 278287.
    19. 19)
      • 19. Marden, J.R., Young, H.P., Arslan, G., et al: ‘Payoff-based dynamics for multi-player weakly acyclic games’, SIAM J. Control Optim., 2009, 48, (1), pp. 373396.
    20. 20)
      • 20. Zhang, J., Qi, D., Yu, M.: ‘A game theoretic approach for the distributed control of multi-agent systems under directed and time-varying topology’, Int. J. Control Autom. Syst., 2014, 12, (4), pp. 749758.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-cps.2018.0027
Loading

Related content

content/journals/10.1049/iet-cps.2018.0027
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address