Refined ramp event characterisation for wind power ramp control using energy storage system

Refined ramp event characterisation for wind power ramp control using energy storage system

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With the advantages of fast response and bidirectional charge/discharge, an energy storage system (ESS) plays a promising role in wind power ramp control. In this study, an optimisation model based on refined ramp event characterisation is proposed to achieve continuous wind power ramp control using ESS. Firstly, four kinds of ramp scenarios are characterised considering both the wind power ramp event prediction and the charge/discharge state of ESS. State of charge of ESS is managed within its limits during ramp control, based on the classified ramp scenarios. Secondly, for the classified ramp scenarios, an active adjustment strategy is proposed to decide the expected charging/discharging energy of ESS according to the conditions of wind power and ESS. Thus, an appropriate energy storage reserve can be determined for anticipated ramp events. Refined ramp event characterisation is able to achieve better control performance with higher satisfaction of ramp requirement, less wind energy curtailment as well as promising adaptability to different ramp event predictions, wind conditions and changes of ESS parameters. The effectiveness of the proposed method is verified through case studies with real-world data from a 100 MW wind farm in China.


    1. 1)
      • 1. Paterakis, N.G., Erdinc, O., Bakirtzis, A.G., et al: ‘Load-following reserves procurement considering flexible demand-side resources under high wind power penetration’, IEEE Trans. Power Syst., 2015, 30, (3), pp. 13371350.
    2. 2)
      • 2. Vargas, L.S., Bustos-Turu, G., Larrain, F.: ‘Wind power curtailment and energy storage in transmission congestion management considering power plants ramp rates’, IEEE Trans. Power Syst., 2015, 30, (5), pp. 24982506.
    3. 3)
      • 3. Nguyen, N., Mitra, J.: ‘An analysis of the effects and dependency of wind power penetration on system frequency regulation’, IEEE Trans. Sustain. Energy, 2016, 7, (1), pp. 354363.
    4. 4)
      • 4. Tsili, M., Papathanassiou, S.: ‘A review of grid code technical requirements for wind farms’, IET Renew. Power Gener., 2009, 3, (3), pp. 308332.
    5. 5)
      • 5. EirGridEirGrid grid code version 6.0’, July 2015. Available at
    6. 6)
      • 6. Technical rule for connecting wind farm to power system. China Standard GB/T 19963-2011.
    7. 7)
      • 7. Boldt, D., Faria, P., Vale, Z.: ‘Study and analysis of wind curtailment situations and developing an appropriated methodology for its management’. PowerTech, 2015 IEEE, Eindhoven, 2015, pp. 16.
    8. 8)
      • 8. Wang, P., Gao, Z., Tjernberg, L. B.: ‘Operational adequacy studies of power systems with wind farms and energy storages’, IEEE Trans. Power Syst., 2012, 27, (4), pp. 23772384.
    9. 9)
      • 9. Sheikh, M., Motin, M.A., Hossain, M.A., et al: ‘Reference power selection for smoothing wind power fluctuations with reduced energy capacity’. Proc. 2012 7th Int. Conf. on Electrical and Computer Engineering, Dhaka, Bangladesh, 2012, pp. 746749.
    10. 10)
      • 10. Jiang, Q., Wang, H.: ‘Two-time-scale coordination control for a battery energy storage system to mitigate wind power fluctuations’, IEEE Trans. Energy Convers., 2013, 28, (1), pp. 5261.
    11. 11)
      • 11. Esmaili, A., Novakovic, B., Nasiri, A., et al: ‘A hybrid system of Li-Ion capacitors and flow battery for dynamic wind energy support’, IEEE Trans. Ind. Appl., 2013, 49, (4), pp. 16491657.
    12. 12)
      • 12. Gong, Y., Jiang, Q., Baldick, R.: ‘Ramp event forecast based wind power ramp control with energy storage system’, IEEE Trans. Power Syst., 2016, 31, (3), pp. 18311844.
    13. 13)
      • 13. Kamath, C.: ‘Understanding wind ramp events through analysis of historical data’. Proc. 2010 IEEE PES Transmission and Distribution Conf. Expo, New Orleans, LA, USA, 2010, pp. 16.
    14. 14)
      • 14. Kamath, C.: ‘Associating weather conditions with ramp events in wind power generation’. Proc. 2011 IEEE/PES Power Systems Conf. Expo (PSCE), Phoenix, AZ, USA, 2011, pp. 18.
    15. 15)
      • 15. Ferreira, C., Gama, J., Matias, L., et al: ‘A survey on wind power ramp forecasting’. Argonne National Laboratory Rep., 2011.
    16. 16)
      • 16. Cui, M., Ke, D., Sun, Y., et al: ‘Wind power ramp event forecasting using a stochastic scenario generation method’, IEEE Trans. Sustain. Energy, 2015, 6, (2), pp. 422433.
    17. 17)
      • 17. Cui, M., Zhang, J., Florita, A., et al: ‘An optimized swinging door algorithm for identifying wind ramping events’, IEEE Trans. Sustain. Energy, 2016, 7, (1), pp. 150162.
    18. 18)
      • 18. Sevlian, R., Rajagopal, R.: ‘Detection and statistics of wind power ramps’, IEEE Trans. Power Syst., 2013, 28, (4), pp. 36103620.
    19. 19)
      • 19. Florita, A., Hodge, B.M., Orwig, K.: ‘Identifying wind and solar ramping events’. Proc. IEEE 5th Green Technology Conf., Denver, CO, USA, 2013, pp. 147152.
    20. 20)
      • 20. Ding, H., Pinson, P., Hu, Z., et al: ‘Integrated bidding and operating strategies for wind-storage systems’, IEEE Trans. Sustain. Energy, 2016, 7, (1), pp. 163172.
    21. 21)
      • 21. Sorensen, P., Cutululis, N.A., Vigueras-Rodriguez, A.: ‘Power fluctuations from large wind farms’, IEEE Trans. Power Syst., 2007, 22, (3), pp. 958965.

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