Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon free Dynamic operating reserve strategies for wind power integration

Several research efforts are conducted towards the impact of wind power variability on the operating reserve requirements of power systems. In most systems, reserve capacity is determined by means of a heuristic or statistical analysis of the different drivers for system imbalances. This contribution puts forward a dynamic reserve approach in which the operating reserve capacity is modified on hourly basis, based on expected wind power conditions. This would improve the current methodologies where the capacity is fixed for longer periods, avoiding expensive overestimations. By means of a decentralised approach, the suggested methodology conforms with an unbundled and liberalised market framework. Results show how the average upward and downward capacity reductions are reduced with at least 36% and 16%, compared to the corresponding static reserve strategy. System simulations integrating this dynamic reserve strategy reveal substantial reductions in operational costs. The average cost of withholding reserve capacity is observed to decrease from 4.5, 5.1, 17.1 and 51.2 to 3.1, 4.8, 7.9 and 14.6 €/MWh wind energy injected, respectively, for an installed capacity representing 6, 12, 18 and 24% of the annual electricity demand. In conclusion, the results of this contribution encourage transmission system operators to evolve towards dynamic reserve strategies.

References

    1. 1)
    2. 2)
    3. 3)
      • 2. Holttinen, H., Meibom, P., Orths, A., et al: ‘Design and operation of power systems with large amounts of wind power’. Final report phase one 2006–2008, VTT Technical Research Centre of Finland, 2009.
    4. 4)
    5. 5)
      • 20. The General Algebraic Modelling System GAMS: ‘Documentation’, http://www.gams.com, last consulted on 25/10/2013.
    6. 6)
      • 18. Kirschen, D., Strbac, G.: ‘Fundamentals of power system economics’ (Wiley, 2004), pp. 284.
    7. 7)
    8. 8)
      • 19. Vuorinen, A.: ‘Planning of optimal power systems’ (Ekoenergo Oy, Espoo, Finland, 2007).
    9. 9)
      • 4. De Vos, K.: ‘Sizing and allocation of operating reserves following wind power integration’. PhD Dissertation, University of Leuven, April 2013.
    10. 10)
    11. 11)
      • 13. Giebel, G., Brownsword, R., Kariniotakis, G., et al: ‘The state of the art in short-term prediction of wind power – a literature overview’. 2nd Edition, Deliverable Report, On behalf of ANEMOS.plus & SafeWind, 2011.
    12. 12)
    13. 13)
      • 3. Ela, E., Kirby, B., Lannoye, E., et al: ‘Evolution of operating reserve determination in wind power integration studies’. IEEE PES General Meeting, 2010, pp. 18.
    14. 14)
    15. 15)
      • 23. IEA: ‘World energy outlook’ (Paris Cedex, France, 2010).
    16. 16)
      • 24. CREG: ‘Beslissing over de vraag tot goedkeuring van de evaluatiemethode voor en de bepaling van het primair, secundair en tertiair reservevermogen voor 2012’, (B)110519-CDC-1056, 2011.
    17. 17)
      • 8. Wood, A., Wollenberg, B.: ‘Power generation, operation and control’ (Wiley, New York, 1996, 2nd edn.), pp. 569.
    18. 18)
      • 1. Tractebel Engineering and Katholieke Universiteit Leuven: ‘Study of the interactions and dependencies of balancing markets, intraday trade and automatically activated reserves’. DG-TREN (TREN/C2/84/2007), 2009.
    19. 19)
    20. 20)
      • 22. Risø National Laboratory: ‘Final report for all island grid study work-stream 2b: wind variability management studies’ (Roskilde, Denmark, 2007).
    21. 21)
    22. 22)
    23. 23)
    24. 24)
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-rpg.2013.0209
Loading

Related content

content/journals/10.1049/iet-rpg.2013.0209
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address