A Convex Model of Risk-Based Unit Commitment for Day-Ahead Market Clearing Considering Wind Power Uncertainty

IEEE Transactions on Power Systems

Volumn 30, Issue 3, 2015, Pages 1582-1592

  Zhang, Ning ^a   Kang, Chongqing ^a   Xia, Qing ^a   Ding, Yi ^b   Huang, Yuehui ^c   Sun, Rongfu ^d   Huang, Junhui ^d   Bai, Jianhua ^d  

^a TSINGHUA UNIVERSITY   (China)

^b TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^c CHINA ELECTRIC POWER RESEARCH INSTITUTE   (China)

^d STATE GRID CORPORATION OF CHINA   (China)

Author keywords

Convex model; day ahead market clearing; probabilistic forecast; risk based unit commitment; wind power integration

Indexed keywords

COMMERCE; FORECASTING; INTEGER PROGRAMMING; INTEGRATION; PROBABILITY DISTRIBUTIONS; RISK PERCEPTION; SCHEDULING; WEATHER FORECASTING; WIND POWER;

CONVEX MODELING; DAY AHEAD MARKET; PROBABILISTIC FORECASTS; UNIT-COMMITMENT; WIND POWER INTEGRATIONS;

POWER MARKETS;

EID: 85027950044     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2014.2357816     Document Type: Article

References (37)

1. C. Lowery and M. O'Malley, "Impact of wind forecast error statistics upon unit commitment," IEEE Trans. Sustain. Energy, vol. 3, no. 4, pp. 760-768, Oct. 2012.
2. M. Milligan, E. Ela, D. Lew, D. Corbus, Y. Wan, B. M. Hodge, and B. Kirby, "Operational analysis and methods for wind integration studies," IEEE Trans. Sustain. Energy, vol. 3, no. 4, pp. 612-619, Nov. 2012.
3. J. C. Smith, S. Beuning, H. Durrwachter, E. Ela, D. Hawkins, B. Kirby, W. Lasher, J. Lowell, K. Porter, K. Schuyler, and P. Sotkiewicz, "The wind at our backs," IEEE Power Energy Mag., vol. 8, no. 5, pp. 63-71, Sep. 2010.
4. C. Kang, X. Chen, Q. Xu, D. Ren, Y. Huang, Q. Xia, W. Wang, C. Jiang, J. Liang, J. Xin, X. Chen, B. Peng, K. Men, Z. Chen, X. Jin, H. Li, and J. Huang, "Balance of power: Toward a more environmentally friendly, efficient, and effective integration of energy systems in China," IEEE Power Energy Mag., vol. 11, no. 5, pp. 56-64, Sep. 2013.
5. M. Ahlstrom, D. Bartlett, C. Collier, J. Duchesne, D. Edelson, A. Gesino, M. Keyser, D. Maggio, M. Milligan, C. Mohrlen, J. O'Sullivan, J. Sharp, P. Storck, and M. De La Torre Rodriguez, "Knowledge is power: Efficiently integrating wind energy and wind forecasts,"IEEE Power Energy Mag., vol. 11, no. 6, pp. 45-52, Nov. 2013.
6. K. R. W. Bell, D. P. Nedic, and L. A. S. San Martin, "The need for interconnection reserve in a system with wind generation," IEEE Trans. Sustain. Energy, vol. 3, no. 4, pp. 703-712, Oct. 2012.
7. W. Lei, M. Shahidehpour, and L. Tao, "Stochastic security-constrained unit commitment," IEEE Trans. Power Syst., vol. 22, no. 2, pp. 800-811, May 2007.
8. F. Bouffard and F. D. Galiana, "Stochastic security for operations planning with significant wind power generation," IEEE Trans. Power Syst., vol. 23, no. 2, pp. 306-316, May 2008.
9. J. M. Morales, A. J. Conejo, and J. Perez-Ruiz, "Economic valuation of reserves in power systems with high penetration of wind power," IEEE Trans. Power Syst., vol. 24, no. 2, pp. 900-910, May 2009.
10. 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.
11. C. De Jonghe, B. F. Hobbs, and R. Belmans, "Value of price responsive load for wind integration in unit commitment," IEEE Trans. Power Syst., vol. 29, no. 2, pp. 675-685, Mar. 2014.
12. W. Lei, M. Shahidehpour, and L. Zuyi, "Comparison of scenario-based and interval optimization approaches to stochastic SCUC," IEEE Trans. Power Syst., vol. 27, no. 2, pp. 913-921, May 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. Zhao, J. Wang, W. J. P., and Y. Guan, "Multi-stage robust unit commitment considering wind and demand response uncertainties," IEEE Trans. Power Syst., vol. 28, no. 3, pp. 2708-2717, Aug. 2013.
15. A. Kalantari, J. F. Restrepo, and F. D. Galiana, "Security-constrained unit commitment with uncertain wind generation: The loadability set approach," IEEE Trans. Power Syst., vol. 28, no. 2, pp. 1787-1796, May 2013.
16. Y. Wang, Q. Xia, and C. Kang, "Unit commitment with volatile node injections by using interval optimization," IEEE Trans. Power Syst., vol. 26, no. 3, pp. 1705-1713, Aug. 2011.
17. R. Jiang, J. Wang, M. Zhang, and Y. Guan, "Two-stage minimax regret robust unit commitment," IEEE Trans. Power Syst., vol. 28, no. 3, pp. 2271-2282, Aug. 2013.
18. C. Zhao and Y. Guan, "Unified stochastic and robust unit commitment,"IEEE Trans. Power Syst., vol. 28, no. 3, pp. 3353-3361, Aug. 2013.
19. 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.
20. D. Pozo and J. Contreras, "A chance-constrained unit commitment with an N-k security criterion and significant wind generation," IEEE Trans. Power Syst., vol. 28, no. 3, pp. 2842-2851, Aug. 2012.
21. M. Vrakopoulou, K. Margellos, J. Lygeros, and G. Andersson, "A probabilistic framework for reserve scheduling and N-1 security assessment of systems with high wind power penetration," IEEE Trans. Power Syst., vol. 28, no. 4, pp. 3885-3896, Nov. 2013.
22. D. He, Z. Tan, and R. Harley, "Chance constrained unit commitment with wind generation and superconducting magnetic energy storages,"in Proc. 2012 IEEE Power and Energy Society General Meeting, San Diego, CA, USA, 2012, pp. 1-6.
23. J. Hetzer, D. C. Yu, and K. Bhattarai, "An economic dispatch model incorporating wind power," IEEE Trans. Energy Convers., vol. 23, no. 2, pp. 603-611, Jun. 2008.
24. B. Venkatesh, Y. Peng, H. B. Gooi, and C. Dechen, "Fuzzy MILP unit commitment incorporating wind generators," IEEE Trans. Power Syst., vol. 23, no. 4, pp. 1738-1746, Nov. 2008.
25. W. Zhou, H. Sun, and Y. Peng, "Risk reserve constrained economic dispatch model with wind power penetration," Energies, vol. 3, no. 12, pp. 1880-1894, Dec. 2010.
26. L. Guodong and K. Tomsovic, "Quantifying spinning reserve in systems with significant wind power penetration," IEEE Trans. Power Syst., vol. 27, no. 4, pp. 2385-2393, Nov. 2012.
27. R. Entriken, P. Varaiya, F. Wu, J. Bialek, C. Dent, A. Tuohy, and R. Rajagopal, "Risk limiting dispatch," in Proc. 2012 IEEE Power and Energy Society General Meeting, San Diego, CA, USA, 2012, pp. 1-5.
28. K. Liu and J. Zhong, "Generation dispatch considering wind energy and system reliability," in Proc. 2010 IEEE Power and Energy Society General Meeting, Minneapolis, MN, USA, 2010, pp. 1-7.
29. Z. Zhi and A. Botterud, "Dynamic scheduling of operating reserves in co-optimized electricity markets with wind power," IEEE Trans. Power Syst., vol. 29, no. 1, pp. 160-171, Jan. 2014.
30. P. Pinson, C. Chevallier, and G. N. Kariniotakis, "Trading wind generation from short-term probabilistic forecasts of wind power," IEEE Trans. Power Syst., vol. 22, no. 3, pp. 1148-1156, Aug. 2007.
31. P. Pinson and G. Kariniotakis, "Conditional prediction intervals of wind power generation," IEEE Trans. Power Syst., vol. 25, no. 4, pp. 1845-1856, Nov. 2010.
32. N. Zhang, C. Kang, Q. Xia, and J. Liang, "Modeling conditional forecast error for wind power in power system scheduling," IEEE Trans. Power Syst., vol. 29, no. 3, pp. 1316-1324, May 2014.
33. J. Usaola, "Probabilistic load flow in systems with wind generation,"IET Gener., Transm., Distrib., vol. 3, no. 12, pp. 1031-1041, Dec. 2009.
34. R. D. Zimmerman, C. E. Murillo-Sanchez, and R. J. Thomas, "MATPOWER's extensible optimal power flow architecture," in Proc. 2009 Power & Energy Society General Meeting, Calgary, AB, Canada, 2009.
35. W. Hogan, Electricity Scarcity Pricing Through Operating Reserves [Online]. Available: http://www.hks.harvard.edu/fs/whogan/Hogan-ORDC-110112r.pdf
36. Probability Methods Subcommittee, "IEEE reliability test system,"IEEE Trans. Power App. Syst., vol. PAS-98, no. 6, pp. 2047-2054, Nov. 1979.
37. A. Botterud, Z. Zhi, W. Jianhui, J. Sumaili, H. Keko, J. Mendes, R. Bessa, and V. Miranda, "Demand dispatch and probabilistic wind power forecasting in unit commitment and economic dispatch: A case study of Illinois," IEEE Trans. Sustain. Energy, vol. 4, no. 1, pp. 250-261, Oct. 2013.