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

Improved UFLS with consideration of power deficit during shedding process and flexible load selection

Improved UFLS with consideration of power deficit during shedding process and flexible load selection

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Renewable Power Generation — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

This study presents an improved under-frequency load shedding (UFLS) scheme that can detect power deficit during the shedding process and accordingly adjust the amount of load shedding. This is achieved by continuous monitoring of the overshooting signal of the second frequency derivative of the centre of inertia. Once detected, an equivalent system inertia constant is estimated in order to quantify the new power deficit. The scheme is also equipped with an optimisation algorithm to determine the best combination of loads that is close to the amount of power deficit, which minimises frequency overshoot/undershoot. The optimisation technique selected for this work is based on particle swarm optimisation. The performance of the proposed UFLS scheme was validated using a modified IEEE 33 bus with two mini-hydro generators and one full converter wind turbine. The system and the proposed UFLS was modelled and simulated in PSCAD/EMTDC software. The results confirmed that the proposed scheme is capable of shedding loads with minimum undershoot/overshoot, and detect and estimate a new power deficit during load shedding. The results reported by the proposed scheme proved to be significantly better than those reported by conventional and adaptive load shedding schemes.

References

    1. 1)
      • 1. Newsroom: ‘Renewable distributed energy generation market to triple in size by 2015’, 30 November 2010. [Online] Available at http://www.navigantresearch.com/newsroom/renewable-distributed-energy-generation-market-to-triple-in-size-by-2015, accessed 20 May 2015.
        .
    2. 2)
      • M.H. Fini , G.R. Yousefi , H.H. Alhelou .
        2. Fini, M.H., Yousefi, G.R., Alhelou, H.H.: ‘Comparative study on the performance of many-objective and single-objective optimisation algorithms in tuning load frequency controllers of multi-area power systems’, IET Gener. Transm. Distrib., 2016, 10, (12), pp. 29152923.
        . IET Gener. Transm. Distrib. , 12 , 2915 - 2923
    3. 3)
      • H. Xin , Y. Liu , Z. Wang .
        3. Xin, H., Liu, Y., Wang, Z., et al: ‘A new frequency regulation strategy for photovoltaic systems without energy storage’, IEEE Trans. Sustain. Energy, 2013, 4, (4), pp. 985993.
        . IEEE Trans. Sustain. Energy , 4 , 985 - 993
    4. 4)
      • J.M. Mauricio , A. Marano , A. Gómez-Expósito .
        4. Mauricio, J.M., Marano, A., Gómez-Expósito, A., et al: ‘Frequency regulation contribution through variable-speed wind energy conversion systems’, IEEE Trans. Power Syst., 2009, 24, (1), pp. 173180.
        . IEEE Trans. Power Syst. , 1 , 173 - 180
    5. 5)
      • Y. Lu , W.-S. Kao , Y.-T. Chen .
        5. Lu, Y., Kao, W.-S., Chen, Y.-T.: ‘Study of applying load shedding scheme with dynamic D-factor values of various dynamic load models to Taiwan power system’, IEEE Trans. Power Syst., 2005, 20, (4), pp. 19761984.
        . IEEE Trans. Power Syst. , 4 , 1976 - 1984
    6. 6)
      • P. Kundur , N.J. Balu , M.G. Lauby . (1994)
        6. Kundur, P., Balu, N.J., Lauby, M.G.: ‘Power system stability and control’ (McGraw-Hill, New York, 1994).
        .
    7. 7)
      • K. Seethalekshmi , S.N. Singh , S.C. Srivastava .
        7. Seethalekshmi, K., Singh, S.N., Srivastava, S.C.: ‘A synchrophasor assisted frequency and voltage stability based load shedding scheme for self-healing of power system’, IEEE Trans. Smart Grid, 2011, 2, (2), pp. 221230.
        . IEEE Trans. Smart Grid , 2 , 221 - 230
    8. 8)
      • D. Andersson , P. Elmersson , A. Juntti .
        8. Andersson, D., Elmersson, P., Juntti, A., et al: ‘Intelligent load shedding to counteract power system instability’. Transmission and Distribution Conf. and Exposition: Latin America, 2004 IEEE/PES, 2004.
        . Transmission and Distribution Conf. and Exposition: Latin America, 2004 IEEE/PES
    9. 9)
      • J. Laghari , H. Mokhlis , M. Karimi .
        9. Laghari, J., Mokhlis, H., Karimi, M., et al: ‘A new under-frequency load shedding technique based on combination of fixed and random priority of loads for smart grid applications’, IEEE Trans. Power Syst., 2015, 30, (5), pp. 25072515.
        . IEEE Trans. Power Syst. , 5 , 2507 - 2515
    10. 10)
      • U. Rudez , R. Mihalic .
        10. Rudez, U., Mihalic, R.: ‘Monitoring the first frequency derivative to improve adaptive underfrequency load-shedding schemes’, IEEE Trans. Power Syst., 2011, 26, (2), pp. 839846.
        . IEEE Trans. Power Syst. , 2 , 839 - 846
    11. 11)
      • J. Jung , C.-C. Liu , S.L. Tanimoto .
        11. Jung, J., Liu, C.-C., Tanimoto, S.L., et al: ‘Adaptation in load shedding under vulnerable operating conditions’, IEEE Trans. Power Syst., 2002, 17, (4), pp. 11991205.
        . IEEE Trans. Power Syst. , 4 , 1199 - 1205
    12. 12)
      • A. Ketabi , M.H. Fini .
        12. Ketabi, A., Fini, M.H.: ‘An underfrequency load shedding scheme for hybrid and multiarea power systems’, IEEE Trans. Smart Grid, 2015, 6, (1), pp. 8291.
        . IEEE Trans. Smart Grid , 1 , 82 - 91
    13. 13)
      • A. Ketabi , M.H. Fini .
        13. Ketabi, A., Fini, M.H.: ‘An underfrequency load shedding scheme for islanded microgrids’, Int. J. Electr. Power, 2014, 62, pp. 599607.
        . Int. J. Electr. Power , 599 - 607
    14. 14)
      • M. Karimi , P. Wall , H. Mokhlis .
        14. Karimi, M., Wall, P., Mokhlis, H., et al: ‘A new centralized adaptive underfrequency load shedding controller for microgrids based on a distribution state estimator’, IEEE Trans. Power Deliv., 2017, 32, (1), pp. 370380.
        . IEEE Trans. Power Deliv. , 1 , 370 - 380
    15. 15)
      • L. Sigrist , I. Egido , L. Rouco .
        15. Sigrist, L., Egido, I., Rouco, L.: ‘Principles of a centralized UFLS scheme for small isolated power systems’, IEEE Trans. Power Syst., 2013, 28, (2), pp. 17791786.
        . IEEE Trans. Power Syst. , 2 , 1779 - 1786
    16. 16)
      • U. Rudez , R. Mihalic .
        16. Rudez, U., Mihalic, R.: ‘Predictive underfrequency load shedding scheme for islanded power systems with renewable generation’, Electr. Power Syst. Res., 2015, 126, pp. 2128.
        . Electr. Power Syst. Res. , 21 - 28
    17. 17)
      • B. Jerneja , R. Urban , M. Rafael .
        17. Jerneja, B., Urban, R., Rafael, M.: ‘Probability-based approach for parameterization of traditional under frequency load-shedding schemes’, IET Gener. Transm. Distrib., 2015, 9, (16), pp. 26252632.
        . IET Gener. Transm. Distrib. , 16 , 2625 - 2632
    18. 18)
      • C. Reddy , S. Chakrabarti , S. Srivastava .
        18. Reddy, C., Chakrabarti, S., Srivastava, S.: ‘A sensitivity-based method for under-frequency load-shedding’, IEEE Trans. Power Syst., 2014, 29, (2), pp. 984985.
        . IEEE Trans. Power Syst. , 2 , 984 - 985
    19. 19)
      • S. Padrón , M. Hernández , A. Falcón .
        19. Padrón, S., Hernández, M., Falcón, A.: ‘Reducing under-frequency load shedding in isolated power systems using neural networks. Gran Canaria: a case study’, IEEE Trans. Power Syst., 2016, 31, (1), pp. 6371.
        . IEEE Trans. Power Syst. , 1 , 63 - 71
    20. 20)
      • U. Rudez , R. Mihalic .
        20. Rudez, U., Mihalic, R.: ‘WAMS-based underfrequency load shedding with short-term frequency prediction’, IEEE Trans. Power Deliv., 2016, 31, (4), pp. 19121920.
        . IEEE Trans. Power Deliv. , 4 , 1912 - 1920
    21. 21)
      • M. Karimi , H. Mohamad , H. Mokhlis .
        21. Karimi, M., Mohamad, H., Mokhlis, H., et al: ‘Under-frequency load shedding scheme for islanded distribution network connected with mini hydro’, Int. J. Electr. Power Energy Syst., 2012, 42, (1), pp. 127138.
        . Int. J. Electr. Power Energy Syst. , 1 , 127 - 138
    22. 22)
      • R. Poli , J. Kennedy , T. Blackwell .
        22. Poli, R., Kennedy, J., Blackwell, T.: ‘Particle swarm optimization’, Swarm Intell., 2007, 1, (1), pp. 3357.
        . Swarm Intell. , 1 , 33 - 57
    23. 23)
      • E.E. Aponte , J.K. Nelson .
        23. Aponte, E.E., Nelson, J.K.: ‘Time optimal load shedding for distributed power systems’, IEEE Trans. Power Syst., 2006, 21, (1), pp. 269277.
        . IEEE Trans. Power Syst. , 1 , 269 - 277
    24. 24)
      • A. Ketabi , M.H. Fini .
        24. Ketabi, A., Fini, M.H.: ‘Adaptive underfrequency load shedding using particle swarm optimization algorithm’, J. Appl. Res. Technol., 2017, 15, pp. 5460.
        . J. Appl. Res. Technol. , 54 - 60
    25. 25)
      • H. Mokhlis , M. Karimi , A. Shahriari .
        25. Mokhlis, H., Karimi, M., Shahriari, A., et al: ‘A new under-frequency load shedding scheme for islanded distribution network’. Innovative Smart Grid Technologies (ISGT), 2013 IEEE PES, 2013.
        . Innovative Smart Grid Technologies (ISGT), 2013 IEEE PES
    26. 26)
      • M. Karimi , P. Wall , H. Mokhlis .
        26. Karimi, M., Wall, P., Mokhlis, H., et al: ‘A new centralized adaptive under-frequency load shedding controller for microgrids based on a distribution state estimator’, IEEE Trans. Power Deliv., 2016, 32, pp. 370380.
        . IEEE Trans. Power Deliv. , 370 - 380
    27. 27)
      • H. Liu , Z. Chen .
        27. Liu, H., Chen, Z.: ‘Contribution of VSC-HVDC to frequency regulation of power systems with offshore wind generation’, IEEE Trans. Energy Convers., 2015, 30, (3), pp. 918926.
        . IEEE Trans. Energy Convers. , 3 , 918 - 926
    28. 28)
      • M.E. Baran , F.F. Wu .
        28. Baran, M.E., Wu, F.F.: ‘Network reconfiguration in distribution systems for loss reduction and load balancing’, IEEE Trans. Power Deliv., 1989, 4, (2), pp. 14011407.
        . IEEE Trans. Power Deliv. , 2 , 1401 - 1407
    29. 29)
      • R.S. Rao , K. Ravindra , K. Satish .
        29. Rao, R.S., Ravindra, K., Satish, K., et al: ‘Power loss minimization in distribution system using network reconfiguration in the presence of distributed generation’, IEEE Trans. Power Syst., 2013, 28, (1), pp. 317325.
        . IEEE Trans. Power Syst. , 1 , 317 - 325
    30. 30)
      • A. Khamis , H. Shareef , A. Mohamed .
        30. Khamis, A., Shareef, H., Mohamed, A.: ‘Islanding detection and load shedding scheme for radial distribution systems integrated with dispersed generations’, IET Gener. Transm. Distrib., 2015, 9, (15), pp. 22612275.
        . IET Gener. Transm. Distrib. , 15 , 2261 - 2275
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-rpg.2017.0170
Loading

Related content

content/journals/10.1049/iet-rpg.2017.0170
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address