Economic evaluation of security-constrained unit commitment for system with high penetration of wind power

International Review of Electrical Engineering

Volumn 5, Issue 6, 2010, Pages 2867-2872

  Alinezhad, L ^a   Sadeghi Yazdankhah, A ^a   Zakariazadeh, A ^b  

^a SAHAND UNIVERSITY OF TECHNOLOGY   (Iran)

^b NONE

Author keywords

Expected load not served (ELNS); Mixed integer linear programming (MILP); Spinning reserve; Stochastic optimization; Transmission limits; Unit commitment (UC); Wind power generation

Indexed keywords

EID: 79956191044     PISSN: 18276660     EISSN: 25332244     Source Type: Journal    
DOI: None     Document Type: Article

References (19)

1. A. J. Wood, B. F. Wollenberg, Power Generation, Operation and Control, 2nd Ed. New York: Wiley, 1996.
2. Clifornia ISO. [Online]. Available: http://www.caiso.com.
3. Y. Liao, X. Feng, J. Pan, Expanding Unit Commitment Algorithm To Include Ancillary Service Modeling Capability, IREE Praise Worthy Prize, vol. 2. n. 1, 2007, pp. 523-528.
4. E. S. Gavanidou, A. G. Bakirtzis, P. S. Dokopoulos, A probabilistic method for the evaluation of the performance of wind-diesel energy systems, IEEE Trans. Power Syst., vol. 7, no. 3, 1992, pp. 418-425.
5. S. H. Karaki, R. B. Chedid, Ramadan, Probabilistic production costing of diesel-wind energy conversion systems, IEEE Trans. Energy Convers.,vol. 15, no. 3, 2000, pp. 284-289.
6. G. Dany, Power reserve in interconnected systems with high wind power production, IEEE Porto Power Tech, 2001, Porto, Portugal.
7. R. Doherty, M. O'Malley, A new approach to quantify reserve demand in systems with significant installed wind capacity, IEEE Trans. Power Syst., vol. 20, no. 2, 2005, pp. 587-595.
8. F. Bouffard, F. D. Galiana, Stochastic security for operations planning with significant wind power generation, IEEE Trans. Power Syst., vol. 23, no. 11, 2008, pp. 306-316.
9. J.M. Morales, J. Conejo, J. Perez-Ruiz, Economic Valuation of Reserves in Power Systems With High Penetration of Wind Power, IEEE Trans. Power Syst. vol. 93, no. 11, 2009.
10. M. A. Ortega-Vazquez, D. S. Krischen, Optimizing the spinning reserve requirements using a cost/benefit analysis, IEEE Trans. On Power Systems, vol. 22, no. 1, 2007, pp. 24-33.
11. DTI, Enhancing security of the UK electricity system with energy storage, Department for Trade and Industry-Electricity Networks Strategy Group. [Online]. Available: http://www.ensg.gov.uk/assets/.
12. M. Black, G. Strbac, Value of bulk energy storage for managing wind power fluctuations, IEEE Trans. Energy Convers., vol. 22, no. 1, 2007, pp. 197-205.
13. A Karimi Varkani, H. Monsef, H. R. Baghaee, Strategy for Participation of Wind Power in Power Market Considering the Uncertainty in Production, IREE Praise Worthy Prize, vol. 4, n. 5, 2009, pp. 1005-1014.
14. R. Billinton, R. N. Allan, Reliability Evaluation of Power Systems. New York: Plenum (1996).
15. G. M. Masters, Renewable and Efficient Electric Power Systems. New York: Wiley Interscience (2004).
16. T. Li and M. Shahidehpour, Price-based unit commitment: A case of Lagrangian relaxation versus mixed integer programming, IEEE Trans. Power Syst., vol. 20, no. 4, 2005, pp. 2015-2025.
17. Reliability Test System Task Force, The IEEE reliability test system-1996, IEEE Trans. Power Syst., Vol. 14, No. 3, 1999, pp. 1010-1020.
18. C. Wang, S. M. Shahidehpour, Effects of ramp-rate limits on unit commitment and economic-dispatch, IEEE Trans. Power Syst., vol. 8, no. 3, 1993, pp. 1341-1350.
19. GAMS: A User's Guide, A. Brooke, D. Kendrick, A. Meeraus, and R. Raman. (2003), http://www.gams.com/ [Online].