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

Modelling the operation strategies of storages and hydro resources in adequacy analysis of power systems in presence of wind farms

Modelling the operation strategies of storages and hydro resources in adequacy analysis of power systems in presence of wind farms

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

Buy article PDF
$19.95
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(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 Title Publication 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 addresses the adequacy of a generating system considering the impact of operation strategies of storages and hydro energy resources. It is assumed that the installed storage capacity of a system can be assigned for two purposes: first, economical operation which adopts storage to shift electric energy and smooth the load curve; and the second, reliability-based operation, which deploys storage to avoid load curtailments. The economical operation strategy is represented by starting from time domain data and using the load curve modification method to synthesise the overall impact of storage. The reliability-based operation is modelled with a new method based on Markov chain model that considers the dynamic behaviour of storage during time. Moreover, a novel state reduction method is presented for decreasing the number of Markov states in applications to large systems. The effectiveness of the presented methods is evaluated by running several simulation scenarios with results presented on three test systems. The results demonstrate that evaluating the system reliability in the presence of energy storage by considering the frequency and duration of system states is more effective than using methods based on the Capacity Outage Probability Table (COPT).

References

    1. 1)
      • 1. Ummels, B.C., Pelgrum, E., Kling, W.L.: ‘Integration of large-scale wind power and use of energy storage in the Netherlands’ electricity supply’, IET Renew. Power Gener., 2008, 2, (1), pp. 3446.
    2. 2)
      • 2. Hsu, Y.Y., Tao, I.W.: ‘Effect of a pumped storage plant on the generation reliability of the Taiwan power system’, Electr. Power Syst. Res., 1986, 10, pp. 223226.
    3. 3)
      • 3. Sharma, R.N., Chand, N., Sharma, V., et al: ‘Decision support system for operation, scheduling and optimization of hydro power plant in Jammu and Kashmir region’, Renew. Sustain. Energy Rev., 2015, 43, pp. 10991113.
    4. 4)
      • 4. Xu, Y., Singh, C.: ‘Power system reliability impact of energy storage integration with intelligent operation strategy’, IEEE Trans. Smart Grid, 2014, 5, (2), pp. 11291137.
    5. 5)
      • 5. Hu, P., Karki, R., Billinton, R.: ‘Reliability evaluation of generating systems containing wind power and energy storage’, IET Gener. Transm. Distrib., 2009, 3, (8), pp. 783791.
    6. 6)
      • 6. Paliwal, P., Patidar, N.P., Nema, R.K.: ‘A novel method for reliability assessment of autonomous PV-wind-storage system using probabilistic storage model’, Electrical Power Energy Syst., 2014, 55, pp. 692703.
    7. 7)
      • 7. Billinton, R., Cheung, L.C.H.: ‘Load modification: a unified approach for generating-capacity reliability evaluation and production-cost modeling’, IEE Proc., 1987, 134, (4), pp. 273280.
    8. 8)
      • 8. Juan, J., Ortega, I.: ‘Reliability analysis for hydro-thermal systems including the effect of maintenance scheduling’, IEEE Trans. Power Syst., 1997, 12, (4), pp. 15611568.
    9. 9)
      • 9. Karki, R., Hu, P., Billinton, R.: ‘Reliability assessment of a wind integrated hydro-thermal power system’. IEEE 11th Int. Conf. on Probabilistic Methods Applied to Power Systems, 14–17 June 2010.
    10. 10)
      • 10. González, C., Juan, J.: ‘Leveling reliability in systems with large hydro resources’, IEEE Trans. Power Syst., 1999, 14, (1), pp. 2329.
    11. 11)
      • 11. González, C., Juan, J., Mira, J., et al: ‘Reliability analysis for systems with large hydro resources in a deregulated electric power market’, IEEE Trans. Power Syst., 2005, 20, (1), pp. 9095.
    12. 12)
      • 12. Aghaei, J., Amjady, N., Baharvandi, A., et al: ‘Generation and transmission expansion planning: MILP-based probabilistic model’, IEEE Trans. Power Syst., 2014, 29, (4), pp. 15921601.
    13. 13)
      • 13. Bhuiyan, F.A., Yazdani, A.: ‘Reliability assessment of a wind-power system with integrated energy storage’, IET Renew. Power Gener., 2010, 4, (3), pp. 211220.
    14. 14)
      • 14. Geth, F., Brijs, T., Kathan, J., et al: ‘An overview of large-scale stationary electricity storage plants in Europe: current status and new developments’, Renew. Sustain. Energy Rev., 2015, 52, pp. 12121227.
    15. 15)
      • 15. Gilmore, J., Vanderwaal, B., Rose, I., et al: ‘Integration of solar generation into electricity markets: an Australian National Electricity Market case study’, IET Renew. Power Gener., 2015, 9, (1), pp. 4656.
    16. 16)
      • 16. Shariatkhah, M.H., Haghifam, M.R., Parsa-Moghaddam, M., et al: ‘Modeling the reliability of multi-carrier energy systems considering dynamic behavior of thermal loads’, Energy Build., 2015, 103, pp. 375383.
    17. 17)
      • 17. Billinton, R., Allan, R.N.: ‘Reliability evaluation of engineering system’ (Plenum press, New York, London, 1992, 2nd edn.).
    18. 18)
      • 18. Salehi Dobakhshari, A., Fotuhi-Firuzabad, M.: ‘A reliability model of large wind farms for power system adequacy studies’, IEEE Trans. Energy Convers., 2009, 24, (3), pp. 792801.
    19. 19)
      • 19. Billinton, R., Yi, G.: ‘Multistate wind energy conversion system models for adequacy assessment of generating systems incorporating wind energy’, IEEE Trans. Energy Convers., 2008, 23, (1), pp. 163170.
    20. 20)
      • 20. Billinton, R., Allan, R.: ‘Reliability evaluation of power systems’ (Plenum Press, New York, 1996, 2nd edn.).
    21. 21)
      • 21. Mitra, J., Singh, C.: ‘Pruning and simulation for determination of frequency duration indices of composite power systems’, IEEE Trans. Power Syst., 1999, 14, (3), pp. 899905.
    22. 22)
      • 22. Chicco, G., Napoli, R., Piglione, F.: ‘Comparisons among clustering techniques for electricity customer classification’, IEEE Trans. Power Syst., 2006, 21, (2), pp. 933940.
    23. 23)
      • 23. Billinton, R., Kumar, S., Chowdhury, N., et al: ‘A reliability test system for educational purposes basic data’, IEEE Trans. Power Syst., 1989, 4, (4), pp. 12381244.
    24. 24)
      • 24. Grigg, C., Wong, P., Albrecht, P., et al: IEEE Committee Report: ‘IEEE Reliability Test System’, IEEE Trans. Power Appar. Syst., 1979, 98, (6), pp. 20472054.
    25. 25)
      • 25. Billinton, R., Kumar, S., Chowdhury, N., et al: ‘A Reliability test system for educational purposes-basic results’, IEEE Trans. Power Syst., 1990, 5, (1), pp. 319325.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-rpg.2015.0443
Loading

Related content

content/journals/10.1049/iet-rpg.2015.0443
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address