Security-constrained unit commitment with volatile wind power generation

IEEE Transactions on Power Systems

Volumn 23, Issue 3, 2008, Pages 1319-1327

  Wang, Jianhui ^a   Shahidehpour, Mohammad ^a   Li, Zuyi ^a  

^a Illinois Institute of Technology   (United States)

Author keywords

Benders decomposition; Intermittency; Security constrained unit commitment; Volatility; Wind power generation

Indexed keywords

COMPUTER SIMULATION; ELECTRIC LOAD FORECASTING; ELECTRIC POWER GENERATION; ELECTRIC POWER SYSTEMS; RENEWABLE ENERGY RESOURCES; WIND POWER;

BENDERS DECOMPOSITION; COMMITMENT PROBLEM; INTERMITTENCY; ITERATIVE PROCESSING; NUMERICAL SIMULATIONS; POWER SYSTEM OPERATIONS; SECURITY-CONSTRAINED UNIT COMMITMENT; VOLATILITY; WIND POWER GENERATION;

POWER GENERATION;

EID: 49249095955     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2008.926719     Document Type: Article

References (16)

1. Global Wind Energy Council. [Online]. Available: Http://www.gwec.net/.
2. G. Sideratos and N. D. Hatziargyriou, "An advanced statistical method for wind power forecasting," IEEE Trans. Power Syst., vol. 22, no. 1, pp. 258-265, Feb. 2007.
3. G. Kariniotakis, I. H.-P. Waldl, I. Marti, G. Giebel, T. S. Nielsen, J. Tambke, J. Usaola, F. Dierich, A. Bocquet, and S. Virlot, "Next generation forecasting tools for the optimal management of wind generation," in Proc. Int. Conf. Probabilistic Methods Applied to Power Systems (PMAPS 2006), Jun. 11-15, 2006.
4. J. Soens, "Impact of wind energy in a future power grid," Ph.D. dissertation, Katholieke Univ. Leuven, Leuven, Belgium, Dec. 2005.
5. TrueWind Solutions, LLC and AWS Scientific, Inc., Overview of Wind Energy Generation Forecasting. [Online]. Available: Www.uwig.org/ forecst_overview_report_dec_003.pdf.
6. W. El-Khattam, Y. Hegazy, and M. Salama, "Uncertain power flow analysis of electrical distributed generation systems," in Proc. IEEE Power Eng. Soc. General Meeting, 2003, pp. 1141-1144.
7. J. Liu, M. Salama, and R. Mansour, "Identify the impact of distributed resources on congestion management," IEEE Trans. Power Del., vol. 20, no. 3, pp. 1998-2005, Jul. 2005.
8. 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 Convers., vol. 22, no. 1, pp. 44-51, Mar. 2007.
9. M. Gibescu, B. C. Ummels, and W. L. Kling, "Statistical wind speed interpolation for simulating aggregated wind energy production under system studies," in Proc. Int. Conf. Probabilistic Methods Applied to Power Systems (PMAPS 2006), Jun. 11-15, 2006.
10. R. Barth, H. Brand, P. Meibom, and C. Weber, "A stochastic unit-commitment model for the evaluation of the impacts of integration of large amounts of intermittent wind power," in Proc. Int. Conf. Probabilistic Methods Applied to Power Systems (PMAPS 2006), Jun. 11-15, 2006.
11. Y. Fu, M. Shahidehpour, and Z. Li, "Security-constrained unit commitment with AC constraints," IEEE Trans. Power Syst., vol. 20, no. 3, pp. 1538-1550, Aug. 2005.
12. Y. Fu, M. Shahidehpour, and Z. Li, "AC contingency dispatch based on security-constrained unit commintment," IEEE Trans. Power Syst., vol. 21, no. 2, pp. 897-908, May 2006.
13. P. Glasserman, Monte Carlo Methods for Financial Engineering, 1st ed. New York: Springer, Aug. 2003.
14. J. Dupacová, N. Gröwe-Kuska, and W. Römisch, "Scenario reduction in stochastic programming: An approach using probability metrics," Math. Program. Series A, vol. 3, pp. 493-511, 2003.
15. N. Gröwe-Kuska, H. Heitsch, and W. Römisch, "Scenario reduction and scenario tree construction for power management problems," in Proc. IEEE Power Tech Conf., Bologna, Italy, Jun. 2003, vol. 3, pp. 23-26.
16. M. Donnelly, J. Dagle, D. Trudnowski, and G. Rogers, "Impact of the distributed utility on transmission system stability," IEEE Trans. Power Syst., vol. 11, no. 2, pp. 741-746, May 1996.