Risk reserve constrained economic dispatch model with wind power penetration

Energies

Volumn 3, Issue 12, 2010, Pages 1880-1894

  Zhou, Wei ^a   Sun, Hui ^a   Peng, Yu ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Economic dispatch; Interior point method; Risk; Spinning reserve; Wind power

Indexed keywords

OPTIMIZATION; RISKS; SCHEDULING; WIND; WIND EFFECTS; WIND POWER;

CONVENTIONAL GENERATORS; ECONOMIC DISPATCH; INTERIOR-POINT METHOD; OPTIMIZATION MODELING; PREDICTOR CORRECTOR; SPINNING RESERVES; UP AND DOWN-SPINNING RESERVE; WIND POWER PENETRATION;

ELECTRIC LOAD DISPATCHING;

EID: 78650291076     PISSN: None     EISSN: 19961073     Source Type: Journal    
DOI: 10.3390/en3121880     Document Type: Article

References (24)

1. Ummels, B.; Gibescu, C.M.; Pelgrum, E.; Kling, W.L.; Brand, A.J. Impacts of wind power on thermal generation unit commitment and dispatch. IEEE Trans. Energy Convers. 2007, 22, 44-51.
2. Lee, T.Y. Optimal spinning reserve for a wind-thermal power system using EIPSO. IEEE Trans. Power Syst. 2007, 22, 1612-1621.
3. Chen, C.L. Optimal wind-thermal generating unit commitment. IEEE Trans. Energy Convers. 2008, 23, 273-280.
4. Chen, C.L.; Lee, T.Y.; Jan, R.M. Optimal wind-thermal coordination dispatch in isolated power systems with large integration of wind capacity. Energy Conv. Manage. 2006, 47, 18-19.
5. Miranda, V.; Hang, P.S. Economic dispatch model with fuzzy wind constraints and attitudes of dispatchers. IEEE Trans. Power Syst. 2005, 20, 2143-2145.
6. Wang, L.; Singh, F.C. Tradeoff between risk and cost in economic dispatch including wind power penetration using particle swarm optimization. In Proceedings of the 2006 International Conference on Power System Technology, Chongqing, China, 5 September 2006.
7. Hong, Y.Y.; Li, C.T. Short-term real-power scheduling considering fuzzy factors in an autonomous system using genetic algorithms. Inst. Eng. Technol. 2006, 153, 684-692.
8. Hetzer, J.; Yu, D.C. An economic dispatch model incorporating wind power. IEEE Trans. Energy Convers. 2008, 23, 603-611.
9. Justus, C.G.W.; Hargraves, R.; Mikhail, A.; Graber, D. Methods for estimating wind speed frequency distributions. J. Appl. Meteorol. 1978, 17, 350-353.
10. Jabr, R.A.; Pal, B.C. Intermittent wind generation in optimal power flow dispatching. IET Gener. Transm. Distrib. 2009, 3, 66-74.
11. Wang, J.H.; Shahidehpour, M.Z.; Li, Y. Security-constrained unit commitment with volatile wind power generation. IEEE Trans. Power Syst. 2008, 23, 1319-1327.
12. Bouffard, F.; Galiana, F.D. Stochastic security for operations planning with significant wind power generation. IEEE Trans. Power Syst. 2008, 23, 306-316.
13. Soder, L. Reserve margin planning in a wind-hydro-thermal power system. IEEE Trans. Power Syst. 1993, 8, 564-571.
14. Siahkali, H.; Vakilian, M. Stochastic unit commitment of wind farms integrated in power system. Electr. Power Syst. Res. 2010, 80, 1006-1017.
15. Doherty, R.; Malley, M.O. A new approach to quantify reserve demand in systems with significant installed wind capacity. IEEE Trans. Power Syst. 2005, 20, 587-595.
16. Lange, M. On the uncertainty of wind powr predictions-analysis of the forecast accuracy and statistical distribution of errors. Solar Energy Eng. 2005, 127, 177-184.
17. Fabbri, A.; Roman, T.G.S.; Abbad, J.R.; Quezada, V.H.M. Assessment of the cost associated with wind generation prediction errors in a liberalized electricity market. IEEE Trans. Power Syst. 2005, 20, 1440-1446.
18. Matevosyan, J.; Soder, L. Minimization of imbalance cost trading wind power on the short-term power market. IEEE Trans. Power Syst. 2006, 21, 1396-1404.
19. Zhao, M.; Chen, Z.; Blaabjerg, F. Probabilistic capacity of a grid connected wind farm based on optimization method. Renewable Energy 2006, 31, 2171-2187.
20. Valenzuela, J.; Mazumdar, M.; Kapoor, A. Influence of temperature and load forecast uncertainty on estimation of power generation production costs. IEEE Trans. Power Syst. 2000, 15, 668-674.
21. Billinton, R.; Huang, D. Effects of load forecast uncertainty on bulk electric system reliability evaluation. IEEE Trans. Power Syst. 2008, 23, 418-425.
22. Wu, Y.C.; Debs, A.; Marsten, R.E. A direct nonlinear predictor-Corrector primal-dual interior point algorithm for optimal power flows. IEEE Trans. Power Syst. 1994, 9, 876-883.
23. Zhou, W.; Peng, Y.; Sun, H. Probabilistic wind power penetration of power system using nonlinear predictor-corrector primal-dual interior-point method. In Proceedings of the 2008 IEEE Electric Utility Deregulation and Restructuring and Power Technologies Conference, Nanjing, China, 6-9 April 2008.
24. Attaviriyanupap, P.; Kita, H.; Tanaka, E.; Hasegawa, J. A hybrid EP and SQP for dynamic economic dispatch with nonsmooth fuel cost function. IEEE Trans. Power Syst. 2002, 17, 411-416.