Wind Energy Integration into the Grid - Capacity Credit

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Power plants using renewable fuels (e.g. power production based on biomass) generally allow scheduling of electricity production, as their primary source of energy can be stored and transported. Within an electricity supply system their use can be planned like any gas- or coal power plant. The process of schedule-development in an electricity supply system is called dispatch. Thus the integration of these dispatchable renewable energy plants does not cause significant changes in the system[1].

In contrast to this, wind turbines or wind parks are non-dispatchable sources of electricity production: Wind velocity and the related amount of electricity generated is only predictable by meteorological methods (with a limited certainty), but of course there is no possibility to influence the availability of the renewable resources. Electricity production by wind turbines is determined by the available wind velocity and the electricity supply system has to adapt to the characteristics of wind energy, in case the potentials of this renewable resource should be used effectively. Efficient integration of wind energy into an existing power system thus requires an advanced management of the conventional power plant[2]. This article focusses on the effects of wind energy integration on the reliability of an electricity supply system. The Capacity Credit is described as way to quantify the reliability of electricity generation by wind turbines.

Wind variability

The variability of electricity production by wind turbines is generally due to changes in wind speed over time. The wind variability can be described on several different time scales:

  • Variations of wind potentials from year to year
  • Seasonal variations of average wind speeds; in Germany average wind velocity during winter months is usually twice as high as the wind speed in the summer[3].
  • Changes in weather cause wind variability on the time-scale of weeks and several days.
  • Within 24 hours a significant difference of wind speeds between daytime and night can be observed at most sites. Depending very strongly on climatic conditions of the site, variations during daytime could show characteristic patterns
  • Wind speed varies from hour to hour and also from one minute to the next
  • Variations on the time-scale of seconds are described as turbulence[4].

The extent of variations on the listed time-scales differs considerably. The largest share of the total variability of wind speed is contributed by variations within 3-5 days, because during this period of time significant changes in weather can occur. Concerning the operation of an electricity supply system, these changes can be regarded as slow. The second major contribution to overall variability is induced by turbulence, which may cause more serious problem for the management of a supply system. If wind turbines are aggregated in a wind park, this has a balancing effect on turbulence effects on electricity production. 

Within the time-frame of 10 minutes to one hour frequency and extent of variations are relatively small. This so-called spectral gap is a very advantegous characteristic of wind speed distribution: If the the variations within this period of time had been considerable, this would have result in larger complications for wind energy integration into the electricity supply system[5].


References

  1. Gatzen C (2008) The Economics of Power Storage - Theory and Empirical Analysis for Central Europe, Schriften des Energiewirtschaftlichen Instituts zu Köln, vol 63. Oldenbourg Industrieverlag
  2. Gatzen C (2008) The Economics of Power Storage - Theory and Empirical Analysis for Central Europe, Schriften des Energiewirtschaftlichen Instituts zu Köln, vol 63. Oldenbourg Industrieverlag
  3. Jarass L, Obermair G, Voigt W (2009) Windenergie – Zuverlässige Integration in die Energieversorgung. Springer
  4. Freris L, Infield D (2008) Renewable energy in power systems. John Wiley & Sons, Ltd
  5. Freris L, Infield D (2008) Renewable energy in power systems. John Wiley & Sons, Ltd