Capacity Value of Wind Power, Calculation, and Data Requirements: the Irish Power System Case

The capacity value of wind power indicates the extent to which wind power contributes to the generation system adequacy of a power system. The related data requirements may be subject to difficulties due to the temporal variability and spatial distribution of wind power in connection with the limited databases currently available. This paper presents a methodology to identify the minimal amount of data required for reliable studies. Based on wind power data of 74 stations in Ireland, covering up to ten years, the effects of different numbers of stations and different time periods of data on the capacity value are analyzed. The calculations are performed by means of a fast calculation code. The results show that at least four to five years of data in an hourly resolution are necessary for reliable studies and that 40 to 50 evenly distributed stations give an acceptable representation of the total wind power generation in Ireland.

[1]  R. Barthelmie,et al.  Inter‐annual variability of wind indices across Europe , 2006 .

[2]  L. Soder,et al.  A review of different methodologies used for calculation of wind power capacity credit , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[3]  Arthouros Zervos,et al.  On the effect of spatial dispersion of wind power plants on the wind energy capacity credit in Greece , 2008 .

[4]  R. Billinton,et al.  Considering load-carrying capability and wind speed correlation of WECS in generation adequacy assessment , 2006, IEEE Transactions on Energy Conversion.

[5]  G. Giebel Wind power has a capacity credit. A catalogue of 50+ supporting studies , 2005 .

[6]  S. Santoso,et al.  Analysis of a wind farm’s capacity value using a non-iterative method , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[7]  L. L. Garver,et al.  Effective Load Carrying Capability of Generating Units , 1966 .

[8]  M. O'Malley,et al.  Establishing the role that wind generation may have in future generation portfolios , 2006, IEEE Transactions on Power Systems.

[9]  R. Billinton,et al.  Generating capacity adequacy associated with wind energy , 2004, IEEE Transactions on Energy Conversion.

[10]  K. Dragoon,et al.  Z-method for power system resource adequacy applications , 2006, IEEE Transactions on Power Systems.

[11]  M. Amelin,et al.  Comparison of Capacity Credit Calculation Methods for Conventional Power Plants and Wind Power , 2009, IEEE Transactions on Power Systems.

[12]  R. Castro,et al.  A Comparison Between Chronological and Probabilistic Methods to Estimate Wind Power Capacity Credit , 2001, IEEE Power Engineering Review.

[13]  Gregor Giebel,et al.  A variance analysis of the capacity displaced by wind energy in Europe , 2007 .

[14]  M. Milligan,et al.  Wind capacity credit in the United States , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[15]  Joseph L. Zachary Introduction to Scientific Programming: Computational Problem Solving Using Maple and C , 1996 .

[16]  Hannele Holttinen,et al.  Current Methods to Calculate Capacity Credit of Wind Power, IEA Collaboration , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[17]  R. Billinton,et al.  Composite System Adequacy Assessment Incorporating Large-Scale Wind Energy Conversion Systems Considering Wind Speed Correlation , 2009, IEEE Transactions on Power Systems.

[18]  Roy Billinton,et al.  Reliability evaluation of power systems , 1984 .

[19]  Michael Milligan,et al.  Design and operation of power systems with large amounts of wind power: State of the art report , 2007 .

[20]  Michael Milligan,et al.  Optimizing the Geographic Distribution of Wind Plants in Iowa for Maximum Economic Benefit and Reliability , 2000 .