A methodology for quantifying variability of renewable energy sources by reserve requirement calculation

2010 IEEE Energy Conversion Congress and Exposition, ECCE 2010 - Proceedings

Volumn , Issue , 2010, Pages 666-673

  Halamay, Douglas A ^a   Brekken, Ted K A ^a  

^a OREGON STATE UNIVERSITY   (United States)

Author keywords

Marine technology; Markov processes; Power system reliability; Power system stability; Power systems; Reserve requirements; Simulation; Solar power generation; Wind power generation

Indexed keywords

MARINE TECHNOLOGY; POWER SYSTEM RELIABILITY; POWER SYSTEM STABILITY; POWER SYSTEMS; RESERVE REQUIREMENTS; SIMULATION; SOLAR POWER;

ELECTRIC POWER GENERATION; ENERGY CONVERSION; MARINE ENGINEERING; MARKOV PROCESSES; RELIABILITY; SOLAR ENERGY; SOLAR POWER GENERATION; SOLAR POWER PLANTS; WATER WAVES; WIND POWER;

SYSTEM STABILITY;

EID: 78650103865     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ECCE.2010.5617946     Document Type: Conference Paper

References (9)

1. M. Milligan, K. Porter, E. DeMeo, P. Denholm, H. Holttinen, B. Kirby, N. Miller, A. Mills, M. O'Malley, M. Schuerger, and L. Soder, "Wind power myths debunked," Power and Energy Magazine, IEEE, vol. 7, November-December 2009.
2. G. Sinden, "Renewable resource characteristics and network integration," in Renewable Electricity and the Grid: The Challenge of Variability (G. Boyle, ed.), Earthscan, 2007.
3. "2010 BPA Rate Case Wholesale Power Rate Final Proposal Generation Inputs Study," Bonneville Power Administration, Tech. Rep., July 2009.[Online]. Available: http://www.bpa.gov/corporate/ratecase/2008/2010-BPA- Rate-Case/docs/WP-10-FS-BPA-08-Web.pdf.
4. "Reserve Capacity Forecast For Wind Generation Within-Hour Balancing Service," Bonneville Power Administration, Tech. Rep., February 2008.[Online]. Available: https://secure.bpa.gov/ratecase/openfile.aspx? fileName=WI-09-EBPA-02-Testimony.pdf&contentType=application%2fpdf.
5. D. Halamay, T.K.A. Brekken, A. Simmons, S. McArthur, "Reserve Requirement Impacts of Large-Scale Integration of Wind, Solar, and Ocean Wave Power Generation," Power and Energy Society General Meeting, Minneapolis, July 2010.
6. S. McArthur, T.K.A. Brekken, "Ocean Wave Power Data Generation for Grid Integration Studies," Power and Energy Society General Meeting, Minneapolis, July 2010.
7. F. O. Hocaoglu, O. N. Gerek, and M. Kurban, "The effect of Markov chain state size for synthetic wind speed generation," in Probabilistic Methods Applied to Power Systems, 2008. PMAPS '08. Proceedings of the 10th International Conference on, 2008.
8. A. Shamshad, M. A. Bawadi, W. M. A. W. Hussin, T. A. Majid, and S. A. M. Sanusi, "First and second order Markov chain models for synthetic generation of wind speed time series," Energy, vol. 30, no. 5, 2005.[Online]. Available: http://www.sciencedirect.com/science/article/B6V2S- 4CTCT5C-2/2/245b1b41e386f78fb969757f26e3b3a8.
9. H. Stark and J. W. Woods, Probability and random processes with applications to signal processing, 3rd ed. Upper Saddle River, NJ: Prentice Hall, 2002, pp. 366-372.