Abstract
To mitigate the global climate change and environmental issues, wind power generation is growing at a startling pace around the world. The wind power capacity credit can be used to measure the contribution of wind power resource to the capacity adequacy of a power system, thus plays an important role in development of wind power resources and expansion planning of power systems. Using the probabilistic production simulation technology, wind power capacity credits based on the capacity adequacy indexes LOLE and EUE are investigated and compared in this paper. The theoretical analysis and numerical simulation show that non-smoothness presents in variation of the LOLE index with load, while variation of the EUE index with load displays a good smoothness. This will lead to a difference in the EUE-based and the LOLE-based wind power capacity credits. In addition, the wind power capacity credits based on the LOLE index is non-monotonic for relatively small installed capacity of wind power.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Smith, J.: Wind power: present realities and future possibilities. Proceedings of the IEEE 97(24), 195–197 (2009)
Xu, J., He, D., Zhao, X.: Status and prospects of Chinese wind energy. Energy 35(11), 4439–4444 (2010)
Billinton, R., Allan, R.N.: Reliability Evaluation of Power Systems, 2nd edn. Plenum, New York (1996)
Castro, R., Ferreira, L.: A comparison between chronological and probabilistic methods to estimate wind power capacity credit. IEEE Trans. Power Systems 16(4), 904–909 (2001)
Milligan, M.: Modelling utility-scale wind power plants. Part 2: capacity credit. Wind Energy 3(4), 167–206 (2000)
Kahn, E.: Effective load carrying capability of wind generation: initial results with public data. Electricity Journal 17(10), 85–95 (2004)
Milligan, M., Porter, K.: The Capacity Value of Wind in the United States: Methods and Implementation. Electricity Journal 19(2), 91–99 (2006)
D’Annunzio, C., Santoso, S.: Noniterative Method to Approximate the Effective Load Carrying Capability of a Wind Plant. IEEE Trans. on Energy Conversion 23(2), 544–550 (2008)
Hasche, B., Keane, A., O’Malley, M.: Capacity Value of Wind Power, Calculation, and Data Requirements: the Irish Power System Case. IEEE Trans. on Power Systems 26(1), 420–430 (2011)
Keane, A., Milligan, M., Dent, C., et al.: Capacity Value of Wind Power. IEEE Trans. on Power Systems 26(2), 564–572 (2011)
Amelin, M.: Comparison of capacity credit calculation methods for conventional power plants and wind power. IEEE Trans. Power Systems 24(2), 685–691 (2009)
Sutanto, D., Outhred, H.R., Lee, Y.B.: Probabilistic power system production cost and reliability calculation by the Z-transform method. IEEE Trans. on Energy Conversion 4(4), 559–565 (1989)
Shih, F.R., Mazumdar, M.: An analytical formula for the mean and variance of marginal costs for a power generation system. IEEE Trans. on Power Systems 13(3), 731–737 (1998)
IEEE Committee Report, IEEE Reliability test system. IEEE Trans. on PAS 98(6), 2047—2054 (1979)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, S., Zhao, C., Li, X. (2012). Comparison of LOLE and EUE-Based Wind Power Capacity Credits by Probabilistic Production Simulation. In: Xiao, T., Zhang, L., Ma, S. (eds) System Simulation and Scientific Computing. ICSC 2012. Communications in Computer and Information Science, vol 327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34396-4_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-34396-4_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34395-7
Online ISBN: 978-3-642-34396-4
eBook Packages: Computer ScienceComputer Science (R0)