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Sizing of large-scale battery storage for off-grid wind power plant considering a flexible wind supply–demand balance

Sizing of large-scale battery storage for off-grid wind power plant considering a flexible wind supply–demand balance

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In off-grid wind power plants, the uncertainty of net load becomes the main factor that controls the operation and planning of these plants. The term net load refers to system demand minus the generation from variable renewable resources. Energy storage system is a key solution for system operators to provide the required flexibility needed to balance the net load uncertainty. This study proposes a probabilistic approach for sizing a battery storage system (BSS) with the aim of mitigating the net load uncertainty associated with the off-grid wind power plant. A novel battery-sizing index that takes into account the probabilistic nature of the wind resources and the electric load is developed. The proposed sizing approach aims to quantify the required BSS capacity for operating the wind plant without incurring excessive battery installation cost as well as for reducing the mismatch between the wind generation and the electric load. An 8.5 MW utility-scale wind farm is used as a test system to demonstrate the effectiveness of the proposed approach.

References

    1. 1)
      • J.P. Barton , D.G. Infield .
        1. Barton, J.P., Infield, D.G.: ‘Energy storage and its use with intermittent renewable energy’, IEEE Trans. Energy Convers., 2004, 19, (2), pp. 441448.
        . IEEE Trans. Energy Convers. , 2 , 441 - 448
    2. 2)
      • T. Masaud , K. Lee , P. Sen .
        2. Masaud, T., Lee, K., Sen, P.: ‘An overview of energy storage technologies in electric power systems: what is the future’. IEEE North America Power Symp. (NAPS), Dallas, Texas, September, 2010, pp. 16.
        . IEEE North America Power Symp. (NAPS) , 1 - 6
    3. 3)
      • 3. The international renewable energy agency (IRENA): ‘Battery storage for renewables: market status and technology outlook’. IRENA Technical Report, January 2015.
        .
    4. 4)
      • A.I. Nikolaidis , Y. Koumparou , G. Makrides .
        4. Nikolaidis, A.I., Koumparou, Y., Makrides, G., et al: ‘Reliable integration of a concentrating solar power plant in a small isolated system through an appropriately sized battery energy storage system’, IET Renew. Power Gener., 2016, 10, (5), pp. 735742.
        . IET Renew. Power Gener. , 5 , 735 - 742
    5. 5)
      • A. Kargarian , G. Hug .
        5. Kargarian, A., Hug, G.: ‘Optimal sizing of energy storage systems: a combination of hourly and intra-hour time perspectives’, IET Gener. Transm. Distrib., 2016, 10, (3), pp. 594600.
        . IET Gener. Transm. Distrib. , 3 , 594 - 600
    6. 6)
      • A. Tani , M.B. Camara , B. Dakyo .
        6. Tani, A., Camara, M.B., Dakyo, B.: ‘Energy management in the decentralized generation systems based on renewable energy – ultracapacitors and battery to compensate the wind/load power fluctuations’, IEEE Trans. Ind. Appl., 2015, 51, (2), pp. 18171827.
        . IEEE Trans. Ind. Appl. , 2 , 1817 - 1827
    7. 7)
      • X. Ke , N. Lu , C. Jin .
        7. Ke, X., Lu, N., Jin, C.: ‘Control and size energy storage systems for managing energy imbalance of variable generation resources’, IEEE Trans. Sustain. Energy, 2015, 6, (1), pp. 7078.
        . IEEE Trans. Sustain. Energy , 1 , 70 - 78
    8. 8)
      • S. Chakraborty , T. Senjyu , H. Toyama .
        8. Chakraborty, S., Senjyu, T., Toyama, H., et al: ‘Determination methodology for optimising the energy storage size for power system’, IET Gener. Transm. Distrib., 2009, 3, (11), pp. 987999.
        . IET Gener. Transm. Distrib. , 11 , 987 - 999
    9. 9)
      • S. Mohammadi , B. Mozafari , S. Solymani .
        9. Mohammadi, S., Mozafari, B., Solymani, S., et al: ‘Stochastic scenario-based model and investigating size of energy storages for pem-fuel cell unit commitment of micro-grid considering profitable strategies’, IET Gener. Transm. Distrib., 2014, 8, (7), pp. 12281243.
        . IET Gener. Transm. Distrib. , 7 , 1228 - 1243
    10. 10)
      • M. Sedghi , A. Ahmadian , M. Aliakbar-Golkar .
        10. Sedghi, M., Ahmadian, A., Aliakbar-Golkar, M.: ‘Optimal storage planning in active distribution network considering uncertainty of wind power distributed generation’, IEEE Trans. Power Syst., 2016, 31, (1), pp. 304316.
        . IEEE Trans. Power Syst. , 1 , 304 - 316
    11. 11)
      • M. Ghofrani , A. Arabali , M. Etezadi-Amoli .
        11. Ghofrani, M., Arabali, A., Etezadi-Amoli, M., et al: ‘Energy storage application for performance enhancement of wind integration’, IEEE Trans. Power Syst., 2013, 28, (4), pp. 48034811.
        . IEEE Trans. Power Syst. , 4 , 4803 - 4811
    12. 12)
      • T.K.A. Brekken , A. Yokochi , A. von Jouanne .
        12. Brekken, T.K.A., Yokochi, A., von Jouanne, A., et al: ‘Optimal energy storage sizing and control for wind power applications’, IEEE Trans. Sustain. Energy, 2011, 2, (1), pp. 6977.
        . IEEE Trans. Sustain. Energy , 1 , 69 - 77
    13. 13)
      • Y. Zheng , Z. Dong , F. Luo .
        13. Zheng, Y., Dong, Z., Luo, F., et al: ‘Optimal allocation of energy storage system for risk mitigation of discos with high renewable penetrations’, IEEE Trans. Power Syst., 2013, 29, (1), pp. 212220.
        . IEEE Trans. Power Syst. , 1 , 212 - 220
    14. 14)
      • P. Yang , A. Nehorai .
        14. Yang, P., Nehorai, A.: ‘Joint optimization of hybrid energy storage and generation capacity with renewable energy’, IEEE Trans. Smart Grid, 2014, 5, (4), pp. 15661574.
        . IEEE Trans. Smart Grid , 4 , 1566 - 1574
    15. 15)
      • Y. Liu , W. Du , L. Xiao .
        15. Liu, Y., Du, W., Xiao, L., et al: ‘A method for sizing energy storage system to increase wind penetration as limited by grid frequency deviations’, IEEE Trans. Power Syst., 2016, 31, (1), pp. 729737.
        . IEEE Trans. Power Syst. , 1 , 729 - 737
    16. 16)
      • B.B. Firouzi , R.A. Abarghooee .
        16. Firouzi, B.B., Abarghooee, R.A.: ‘Optimal sizing of battery energy storage for micro-grid operation management using a new improved bat algorithm’, J. Electr. Power Energy Syst., 2014, 56, pp. 4254.
        . J. Electr. Power Energy Syst. , 42 - 54
    17. 17)
      • V. Gevorgian , D. Corbus .
        17. Gevorgian, V., Corbus, D.: ‘Ramping performance analysis of the Kahuku wind-energy battery storage system’. NREL Technical Report, NREL/MP-5D00-59003, November 2013.
        .
    18. 18)
      • K.E. Hagan , O.O. Oyebanjo , T.M. Masaud .
        18. Hagan, K.E., Oyebanjo, O.O., Masaud, T.M., et al: ‘A probabilistic forecasting model for accurate estimation of PV solar and wind power generation’. IEEE Power and Energy Conf. at Illinois (PECI), 19–20 February, 2016, pp. 15.
        . IEEE Power and Energy Conf. at Illinois (PECI) , 1 - 5
    19. 19)
      • Y.M. Atwa , E.F. El-Saadany .
        19. Atwa, Y.M., El-Saadany, E.F.: ‘Probabilistic approach for optimal allocation of wind-based distributed generation in distribution systems’, IET Renew. Power Gener., 2011, 5, (1), pp. 7988.
        . IET Renew. Power Gener. , 1 , 79 - 88
    20. 20)
      • Q. Li , S.S. Choi , Y. Yuan .
        20. Li, Q., Choi, S.S., Yuan, Y., et al: ‘On the determination of battery energy storage capacity and short-term power dispatch of a wind farm’, IEEE Trans. Sustain. Energy, 2011, 2, (2), pp. 148158.
        . IEEE Trans. Sustain. Energy , 2 , 148 - 158
    21. 21)
      • H. Bitaraf , S. Rahman , M. Pipattanasomporn .
        21. Bitaraf, H., Rahman, S., Pipattanasomporn, M.: ‘Sizing energy storage to mitigate wind power forecast error impacts by signal processing technique’, IEEE Trans. Sustain. Energy., 2015, 6, (4), pp. 729737.
        . IEEE Trans. Sustain. Energy. , 4 , 729 - 737
    22. 22)
      • J. Ma .
        22. Ma, J.: ‘Evaluating and planning flexibility in a sustainable power system with large wind penetration’. PhD dissertation, School of Electrical and Electronic Engineering, University of Manchester, Manchester, UK, 2012.
        .
    23. 23)
      • 23. US Bureau of Reclamation(Online). Available at http://www.usbr.gov/pn/agrimet/webaghrread.html.
        .
    24. 24)
      • 24. Electric Reliability Council of Texas (ERCOT): (online). Available at http://www.ercot.com/gridinfo/load/load_hist/.
        .
    25. 25)
      • Y.M. Atwa , E.F. El-Saadany , M.M.A. Salama .
        25. Atwa, Y.M., El-Saadany, E.F., Salama, M.M.A., et al: ‘Optimal renewable resources mix for distribution system energy loss minimization’, IEEE Trans. Power Syst., 2010, 25, (1), pp. 360370.
        . IEEE Trans. Power Syst. , 1 , 360 - 370
    26. 26)
      • J. Chang , I. Karkatsouli , J. Pfeifenberger .
        26. Chang, J., Karkatsouli, I., Pfeifenberger, J., et al: ‘The value of distributed electricity storage in Texas: proposed policy for enabling grid-integrated storage investments’ (The Brattle Group, Inc., 2014).
        .
    27. 27)
      • 27. Schwerin Battery Park. Younicos: (Online). Available at http://www.younicos.com/download/Younicos_Reference_Project_Schwerin_EUR_Web.pdf.
        .
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