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Short-Term Scheduling of Combined Cycle Units Using Mixed Integer Linear Programming Solution
Department of Electrical & Electronic Engineering, National University of Rio Cuarto, Rio Cuarto, Argentina
Department of Electrical & Electronic Engineering, National University of Rio Cuarto, Rio Cuarto, Argentina
Nexant Inc., Chandler, USA
Department of Electrical & Electronic Engineering, National University of Rio Cuarto, Rio Cuarto, Argentina
- 1 Department of Electrical & Electronic Engineering, National University of Rio Cuarto, Rio Cuarto, Argentina
- 2 Department of Electrical & Electronic Engineering, National University of Rio Cuarto, Rio Cuarto, Argentina
- 3 Nexant Inc., Chandler, USA
- 4 Department of Electrical & Electronic Engineering, National University of Rio Cuarto, Rio Cuarto, Argentina
Energy and Power Engineering·Volume 05 (2013)·Pages 161–170·Published 29 March 2013·DOI10.4236/epe.2013.52016
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Abstract
Combined cycle plants (CCs) are broadly used all over the world. The inclusion of CCs into the optimal resource scheduling causes difficulties because they can be operated in different operating configuration modes based on the number of combustion and steam turbines. In this paper a model CCs based on a mixed integer linear programming approach to be included into an optimal short term resource optimization problem is presented. The proposed method allows modeling of CCs in different modes of operation taking into account the non convex operating costs for the different combined cycle mode of operation.
KeywordsCombined Cycle PlantsUnit CommitmentMixed Integer Linear Programming
- H. Rudnick and J. Zolezzi, “Electric Sector Deregulation and Restructuring in Latin America: Lessons to Be Learn and Possible Waysforward,” IEEE Proceedings Generation, Transmission and Distribution, Vol. 148, No. 2, 2001, pp. 180-184. doi:10.1049/ip-gtd:20010230
- E. Battisti, G. Casolino, F. Rossi and M. Russo, “Economical Considerations about Combined Cycle Power Plant Control in Deregulated Markets,” International Journal of Electrical Power and Energy Systems, Vol. 28, No. 4, 2006, pp. 284-192. doi:10.1016/j.ijepes.2005.12.003
- CAMMESA, “Operational Data,” 2011. http://www.cammesa.com
- A. Cohen and G. Ostrowski, “Scheduling Units with Multiple Operating Modes in Unit Commitment,” IEEE Transactions on Power Systems, Vol. 11, No. 1, 1996, pp. 497-503. doi:10.1109/59.486139
- Bjelogrlic, “Inclusion of Combined Cycle Plants into Optimal Resource Scheduling,” IEEE Proceedings of PES General Meeting, San Francisco, 12-16 June 2000, pp. 189-194.
- B. Lu and M. Shahidehpour, “Short-Term Scheduling of Combined Cycle Units,” IEEE Transactions on Power Systems, Vol. 19, No. 3, 2000, pp. 1616-1625.
- F. Gao and G. B. Sheble, “Stochastic Optimization Techniques for Economic Dispatch with Combined Cycle Units,” Proceedings of 9th International Conference on Probabilistic Methods Applied to Power System, Stockholm, June 2006, pp. 1022-1034.
- J. Arroyo and A. Conejo, “Optimal Response of a Thermal Unit to an Electricity Spot Market,” IEEE Transactions on Power Systems, Vol. 15, No. 3, 2000, pp. 1098- 1104. doi:10.1109/59.871739
- M. Carrión and J. Arroyo, “A Computationally Efficient Mixed-IntegerLinear Formulation for the Thermal UnitCommitment Problem,” IEEE Transactions on Power Systems, Vol. 21, No. 3, 2006, pp. 1371-1378. doi:10.1109/TPWRS.2006.876672
- D. Streiffert, R. Philbrick and A. Ott, “A Mixed Integer Programming Solution for Market Clearing and Reliability Analysis,” IEEE Proceedings of PES General Meeting, San Francisco, 12-16 June 2005, pp. 2724-2731.
- T. Li and M. Shahidehpour, “Price-Based Unit Commitment: A Case of Lagrangian Relaxation versus Mixed Integer Programming,” IEEE Transactions on Power Systems, Vol. 20, No. 4, 2005, pp. 2015-2025. doi:10.1109/TPWRS.2005.857391
- G. W. Chang, G. S. Chuang and T. K. Lu, “A Simplified Combined-Cycle Unit Model for Mixed Integer Linear Programming-Based Unit Commitment,” IEEE Proceedings of PES General Meeting, Vancouver, 6-7 July 2008, pp. 1-6.