Utilization of the area risk concept for operational reliability evaluation of a wind-integrated power system

IEEE Transactions on Power Systems

Volumn 28, Issue 4, 2013, Pages 4771-4779

  Thapa, Suman ^a   Karki, Rajesh ^a   Billinton, Roy ^a  

^a UNIVERSITY OF SASKATCHEWAN   (Canada)

Author keywords

Area risk; Conditional probability; Unit commitment risk (UCR); Well being; Wind power

Indexed keywords

CONDITIONAL PROBABILITIES; CONVENTIONAL SYSTEMS; HYDRO-POWER GENERATION; OPERATIONAL RELIABILITY; OPERATIONAL SYSTEMS; SYSTEM REQUIREMENTS; UNIT COMMITMENT RISK (UCR); WELL-BEING;

ELECTRIC POWER GENERATION; WIND POWER;

RELIABILITY;

EID: 84886101755     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2013.2264904     Document Type: Article

References (24)

1. R. Billinton and R. N. Allan, Reliability Evaluation of Power Systems. New York, NY, USA: Plenum, 1996.
2. B. C. Ummels, M. Gibescu, E. Pelgrum, W. L. Kling, and A. J. Brand, "Impacts of wind power on thermal generation unit commitment and dispatch," IEEE Trans. Energy Conv., vol. 22, no. 2, pp. 44-51, Feb. 2007.
3. A. Tuohy, P.Meibom, E. Denny, and M. O'Malley, "Unit commitment for systems with significant wind penetration," IEEE Trans. Power Syst., vol. 24, no. 2, pp. 592-601, May 2009.
4. J.Wang, M. Shahidehpour, and Z. Li, "Security-constrained unit commitment with volatile wind power generation," IEEE Trans. Power Syst., vol. 23, no. 3, pp. 1319-1327, Aug. 2008.
5. L. T. Anstine, R. E. Burke, J. E. Casey, R. Holgate, R. S. John, and H. G. Stewart, "Application of probability methods to the determination of spinning reserve requirements for the Pennsylvania-New Jersey-Maryland interconnection," IEEE Trans. Power App. Syst., vol. PAS-82, no. 68, pp. 726-735, Oct. 1963.
6. G. Giebel et al., "The State-of-the-Art in Short-Term Prediction of Wind Power: A Literature Overview," ANEMOS. plus and Safe Wind projects, 2nd. ed., 2011. [Online]. Available: http://orbit.dtu.dk/getResource?recordId= 274635&objectId=1&versionId=1
7. R. Billinton, B. Karki, R. Karki, and G. Ramakrishna, "Unit commitment risk analysis of wind integrated power systems," IEEE Trans. Power Syst., vol. 24, no. 2, pp. 930-939, May 2009.
8. R. Billinton and M. Fotuhi-Firuzabad, "A basic framework for generating system operating health analysis," IEEE Trans. Power Syst., vol. 9, no. 3, pp. 1610-1617, Aug. 1994.
9. R. Billinton and A. V. Jain, "The effect of rapid start and hot reserve units in spinning reserve studies," IEEE Trans. Power App. Syst., vol. PAS-91, no. 2, pp. 511-516, Mar. 1972.
10. R. Karki, P. Hu, and R. Billinton, "A simplified wind power generation model for reliability evaluation," IEEE Trans. Energy Conv., vol. 21, no. 2, pp. 533-540, Jun. 2006.
11. P. Giorsetto and K. F. Utsurogi, "Development of a new procedure for reliability modeling of wind turbine generators," IEEE Trans. Power App. Syst., vol. PAS-102, no. 1, pp. 134-143, Jan. 1983.
12. S. Rehman, "Wind energy resources assessment for Yanbo, Saudi Arabia," Energy Conv. Manag., vol. 45, pp. 2019-2032, 2004, 8.
13. M. Li and X. Li, "Investigation of wind characteristics and assessment of wind energy potential for Waterloo region, Canada," Energy Conv. Manag., vol. 46, pp. 3014-3033, 2005, 11.
14. A. Keyhani, M. Ghasemi-Varnamkhasti, M. Khanali, and R. Abbaszadeh, "An assessment of wind energy potential as a power generation source in the capital of Iran, Tehran," Energy, vol. 35, pp. 188-201, 2010, 1.
15. I. Fyrippis, P. J. Axaopoulos, and G. Panayiotou, "Wind energy potential assessment in Naxos Island, Greece," Appl. Energy, vol. 87, pp. 577-586, 2010, 2.
16. R. Soler-Bientz, S. Watson, and D. Infield, "Wind characteristics on the Yucatán Peninsula based on short term data from meteorological stations," Energy Conv. Manag., vol. 51, pp. 754-764, 2010, 4.
17. D.Yu, J. Liang, X.Han, and J. Zhao, "Profiling the regional wind power fluctuation in China," Energy Policy, vol. 39, pp. 299-306, 2011, 1.
18. M. R. Islam, R. Saidur, and N. A. Rahim, "Assessment of wind energy potentiality at Kudat and Labuan, Malaysia using Weibull distribution function," Energy, vol. 36, pp. 985-992, 2011, 2.
19. E. Hau, The Wind Resource. Berlin, Germany: Springer, 2013.
20. A. M. Foley, P. G. Leahy, A. Marvuglia, and E. J. McKeogh, "Current methods and advances in forecasting of wind power generation," Renewable Energy, vol. 37, pp. 1-8, 2012, 1.
21. P. M. Subcommittee, "IEEE reliability test system," IEEE Trans. Power App. Syst., vol. PAS-98, no. 6, pp. 2047-2054, Nov. 1979.
22. R. Billinton, R. Karki, and M. Fotuhi-Firuzabad, "Probabilistic methods applied to small isolated power generating systems," in Proc. 5th PMA PS Int. Conf., Vancouver, BC, Canada, 1997, pp. 457-462.
23. R. Billinton and R. Karki, "Capacity reserve assessment using system well-being analysis," IEEE Trans. Power Syst., vol. 14, no. 2, pp. 433-438, May 1999.
24. R. Billinton and B. Karki, "Well-being analysis of wind integrated power systems," IEEE Trans. Power Syst., vol. 26, no. 4, pp. 2101-2108, Nov. 2011.