Multi-stage robust unit commitment considering wind and demand response uncertainties

IEEE Transactions on Power Systems

Volumn 28, Issue 3, 2013, Pages 2708-2717

  Zhao, Chaoyue ^a   Wang, Jianhui ^b   Watson, Jean Paul ^c   Guan, Yongpei ^a  

^a J Crayton Pruitt Family Department of Biomedical Engineering   (United States)

^b ARGONNE NATIONAL LABORATORY   (United States)

^c SANDIA NATIONAL LABORATORIES   (United States)

Author keywords

Benders' decomposition; demand response uncertainty; robust optimization; wind power uncertainty

Indexed keywords

BENDERS' DECOMPOSITIONS; COMBINED UNCERTAINTY; DEMAND RESPONSE; DEMAND RESPONSE PROGRAMS; IEEE 118-BUS SYSTEM; MIXED-INTEGER PROGRAMMING; ROBUST OPTIMIZATION; SYSTEM RELIABILITY;

COSTS; INTEGER PROGRAMMING; OPTIMIZATION; THERMOELECTRIC POWER;

WIND POWER;

EID: 84881024705     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2013.2244231     Document Type: Article

References (29)

1. S. J. Wang, S. M. Shahidehpour, D. S. Kirschen, S. Mokhtari, and G. D. Irisarri, "Short-term generation scheduling with transmission and environmental constraints using an augmented Lagrangian relaxation," IEEE Trans. Power Syst., vol. 10, no. 3, pp. 1294-1301, Aug. 1995.
2. U.S. Department of Energy, 20% Wind Energy by 2030: Increasing Wind Energy's Contribution to U.S. Electricity Supply, 2008. [Online]. Available: http://eere.energy.gov/wind/pdfs/41869.pdf.
3. S. Fink, C. Mudd, K. Porter, and B. Morgenstern, Wind Energy Curtailment Case Studies, 2009, p. SR-550-46 716, NREL Rep.
4. 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, Stockholm, Sweden, 2006.
5. A. Tuohy, P.Meibom, E. Denny, andM. O'Malley, "Unit commitment for systems with significantwind penetration," IEEE Trans. Power Systems, vol. 24, no. 2, pp. 592-601, May 2009.
6. A. Tuohy, E. Denny, and M. O'Malley, "Rolling unit commitment for systems with significant installed wind capacity," in Proc. IEEE Lausanne Power Tech, 2007, pp. 1380-1385.
7. F. Bouffard and F. Galiana, "Stochastic security for operations planning with significant wind power generation," IEEE Trans. Power Syst., vol. 23, no. 2, pp. 306-316, May 2008. (Pubitemid 351695808)
8. B.Ummels, M. Gibescu, E. Pelgrum, W. Kling, and A. 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. (Pubitemid 46487475)
9. P. Ruiz, C. Philbrick, E. Zak, K. Cheung, and P. Sauer, "Uncertainty management in the unit commitment problem," IEEE Trans. Power Syst., vol. 24, no. 2, pp. 642-651, May 2009.
10. 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.
11. J.Wang, A. Botterud,V. Miranda, C. Monteiro, and G. Sheble, "Impact of wind power forecasting on unit commitment and dispatch," in Proc. 8th Int. Workshop Large-Scale Integration of Wind Power Into Power Systems, Bremen, Germany, 2009.
12. Q. Wang, Y. Guan, and J. Wang, "A chance-constrained two-stage stochastic program for unit commitment with uncertain wind power output," IEEE Trans. Power Syst., vol. 27, no. 1, pp. 206-215, Feb. 2012.
13. R. Jiang, J. Wang, and Y. Guan, "Robust unit commitment with wind power and pumped storage hydro," IEEE Trans. Power Syst., vol. 27, no. 2, pp. 800-810, May 2012.
14. C. Su and D. Kirschen, "Quantifying the effect of demand response on electricity markets," IEEE Trans. Power Syst., vol. 24, no. 3, pp. 1199-1207, Aug. 2009.
15. D. Kirschen, "Demand-side view of electricity markets," IEEE Trans. Power Syst., vol. 18, no. 2, pp. 520-527, May 2003.
16. U.S. Department of Energy, Benefits of Demand Response in Electricity Markets and Recommendations for Achieving Them, 2006. [Online]. Available: http://eetd.lbl.gov/ea/ems/reports/congress- 1252d.pdf.
17. Federal Energy Regulatory Commission, A National Assessment of Demand Response Potential, 2009. [Online]. Available: http://www. ferc.gov/legal/staff- reports/06-09-demand-response.pdf.
18. Federal Energy Regulatory Commission, Wholesale Competition in Regions With Organized Electric Markets: FERC's Advanced Notice of Proposed Rulemaking, 2007. [Online]. Available: http://www.kirkland.com/siteFiles/Publications/ C430B16C519842DE1AEB2623F7DE21D6.pdf.
19. M. Albadi and E. El-Saadany, "Demand response in electricity markets: An overview," in Proc. IEEE Power Engineering Society General Meeting, Montreal, QC, Canada, 2007, pp. 1-5.
20. P. Thimmapuram, J. Kim, A. Botterud, and Y. Nam, "Modeling and simulation of price elasticity of demand using an agent-based model," in Proc. IEEE Innovative Smart Grid Technologies (ISGT), 2010, 2010, pp. 1-8.
21. A. Khodaei, M. Shahidehpour, and S. Bahramirad, "SCUC with hourly demand response considering intertemporal load characteristics," IEEE Trans. Smart Grid, vol. 2, no. 3, pp. 564-571, 2011.
22. D. Kirschen, G. Strbac, P. Cumperayot, and D. de Paiva Mendes, "Factoring the elasticity of demand in electricity prices," IEEE Trans. Power Syst., vol. 15, no. 2, pp. 612-617, May 2000.
23. N. Navid-Azarbaijani, Load Model and Control of Residential Appliances. Montreal, QC, Canada: McGill Univ., 1996.
24. A. Street, F. Oliveira, and J. Arroyo, "Contingency-constrained unit commitment with n-k security criterion: A robust optimization approach," IEEE Trans. Power Syst., vol. 26, no. 3, pp. 1581-1590, Aug. 2011.
25. A. Hajimiragha, C. Ca nizares,M. Fowler, S.Moazeni, and A. Elkamel, "A robust optimization approach for planning the transition to plug-in hybrid electric vehicles," IEEE Trans. Power Syst., vol. 26, no. 4, pp. 2264-2274, Nov. 2011.
26. L. Baringo and A. Conejo, "Offering strategy via robust optimization," IEEE Trans. Power Syst., vol. 26, no. 3, pp. 1418-1425, Aug. 2011.
27. MidwestISO, Business Practices Manual 003: Energy Market Instruments, 2008. [Online]. Available: https://www.midwestiso.org.
28. D. Bertsimas and M. Sim, "The price of robustness," Oper. Res., vol. 52, no. 1, pp. 35-53, 2004. (Pubitemid 40000812)
29. Q. Wang, J. Wang, and Y. Guan, "Stochastic unit commitment with uncertain demand response," IEEE Trans. Power Syst., to be published.