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 a 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].

Variability of electricity production

The characteristics of electricity production are influenced by the chosen turbine type to a considerable extent. As the description of these influences requires detailled technical explaination of the turbine types, this article abstracts from these differences. The focus is rather set on the general 'transmission' of wind variability into variability of the electricity production.

Variability in electricity production may be described concerning three main characteristics[6]:

  • Full load hours respectively annual energy yield,
  • periodical patterns of electricity generation by wind turbines,
  • Volatility of electricity generation by wind turbines

Hours of full load is a term describing the number of hours the wind turbines have been operated at their rated capacity during one year. The annual energy yield is usually given in MWh. The term 'periodical patterns of electricity generation' describes any patterns in wind variability, which can be observed with regularity irrespective the frequently changes on other time-scales. As an example the regular seasonal changes in wind speed distribution cause similar variations in electricity generation[7]. The term volatility is used for changes within small time-frames from minutes to hours.

The 'translation' of wind variability into the variability of electricity generation, fundamentally depends on the following factors:

  • Characteristics of the extraction of wind energy by modern wind turbine types
  • site selection, geographical distribution of wind turbines 
  • wind turbine operation: in a wind park (aggregated electricity generation) or as a sole application

The power – extractable by a wind turbine at a certain wind speed – is given by the following function:

 

where  is used for air density, A indicates the area swept by the turbine rotor, V describes wind velocity and Cp is the power coefficient describing the efficiency of wind energy conversion by the turbine. As electricity production changes proportional to the cube of wind speed, variability of wind speed results in significantly larger variations in electricity generation.

Depending on the design of modern wind turbines, this is only valid for a certain range of wind speed variations:

Very low wind speeds do not contain sufficient power to operate wind turbines. Typically modern wind turbines have a so-called Cut-in-wind speed Vci of 3,5 m/s and reach their maximum power at a rated wind speed Vn. Many turbines have a Vn-value of 15 m/s. Above this wind speed the operation of the wind turbines are regulated by aerodynamic control mechanisms to limit rotor speed and the related output. As a result variations of power output at wind speeds between 15 m/s und 25 m/s are low. The wind velocity 25 m/s (equivalent to wind force 10 Beaufort) is often determined as Cut-out-Wind speed Vco[8].

Wind conditions on site of course are the foundation for the expected electricity production and its variability. Besides average wind speed and wind speed distribution of the site, the roughness of the surface is essential for expected wind energy production. Any obstacles like forrests, infrastructure or even fences increase friction of wind on the surface as well as turbulence[9]

In many cases wind turbines are integrated into the electricity grid as aggregated wind parks (instead of integrating single wind turbines). Aggregating the output of several wind turbines in a wind park reduces the variability induced into the grid significantly. This effect is based on the spatial distribution of the turbines: If wind turbines are installed distributed over a large area, turbulences affect energy production at the different turbines in an uncorrelated way and variations on a time-scale of seconds are balanced out to a considerable share.

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
  6. Dena (2005) Konzept für eine stufenweise Entwicklung des Stromnetzes in DeutschlandfckLRzur Anbindung und Integration von Windkraftanlagen Onshore und Offshore unter BerücksichtigungfckLRder Erzeugungs- und Kraftwerksentwicklungen sowie der erforderlichenfckLRRegelleistung. In: Energiewirtschaftliche Planung für die Netzintegration von WindenergiefckLRin Deutschland an Land und Offshore bis zum Jahr 2020 - Netzstudie I, DeutschefckLREnergie Agentur
  7. Dena (2005) Konzept für eine stufenweise Entwicklung des Stromnetzes in DeutschlandfckLRzur Anbindung und Integration von Windkraftanlagen Onshore und Offshore unter BerücksichtigungfckLRder Erzeugungs- und Kraftwerksentwicklungen sowie der erforderlichenfckLRRegelleistung. In: Energiewirtschaftliche Planung für die Netzintegration von WindenergiefckLRin Deutschland an Land und Offshore bis zum Jahr 2020 - Netzstudie I, DeutschefckLREnergie Agentur
  8. Freris L, Infield D (2008) Renewable energy in power systems. John Wiley & Sons, Ltd
  9. Dena (2005) Konzept für eine stufenweise Entwicklung des Stromnetzes in DeutschlandfckLRzur Anbindung und Integration von Windkraftanlagen Onshore und Offshore unter BerücksichtigungfckLRder Erzeugungs- und Kraftwerksentwicklungen sowie der erforderlichenfckLRRegelleistung. In: Energiewirtschaftliche Planung für die Netzintegration von WindenergiefckLRin Deutschland an Land und Offshore bis zum Jahr 2020 - Netzstudie I, DeutschefckLREnergie Agentur