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Journal of Engineering
Volume 2016, Article ID 6105720, 10 pages
http://dx.doi.org/10.1155/2016/6105720
Research Article

Application of Unit Commitment with Market Pool in a Peaking Power Generation Firm in the Philippines for a Cost Reduction Case Study

1Department of Industrial Engineering, University of San Carlos, 6000 Cebu, Philippines
2Department of Mechanical and Manufacturing Engineering, University of San Carlos, 6000 Cebu, Philippines
3Department of Electrical and Electronics Engineering, University of San Carlos, 6000 Cebu, Philippines
4Department of Mathematics, University of San Carlos, 6000 Cebu, Philippines

Received 15 November 2015; Revised 22 February 2016; Accepted 15 March 2016

Academic Editor: Ashish Goel

Copyright © 2016 Luke Rey Santillan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. L. Raju, R. S. Milton, S. Suresh, and S. Sankar, “Reinforcement learning in adaptive control of power system generation,” in Proceedings of the International Conference on Information and Communication Technologies, vol. 48, pp. 202–209, Kochi, India, 2015. View at Publisher · View at Google Scholar · View at Scopus
  2. S. Najafi and J. Purjamal, “A new heuristic algorithm for unit commitment problem,” Energy Procedia, vol. 14, pp. 2005–2011, 2012. View at Google Scholar
  3. X. Xia and A. M. Elaiw, “Optimal dynamic economic dispatch of generation: a review,” Electric Power Systems Research, vol. 80, no. 8, pp. 975–986, 2010. View at Publisher · View at Google Scholar · View at Scopus
  4. T. Senjyu, K. Shimabukuro, K. Uezato, and T. Funabashi, “A fast technique for unit commitment problem by extended priority list,” IEEE Transactions on Power Systems, vol. 18, no. 2, pp. 882–888, 2003. View at Publisher · View at Google Scholar · View at Scopus
  5. S. Virmani, E. C. Adrian, K. Imhof, and S. Mukherjee, “Implementation of a Lagrangian relaxation based unit commitment problem,” IEEE Transactions on Power Systems, vol. 4, no. 4, pp. 1373–1380, 1989. View at Publisher · View at Google Scholar · View at Scopus
  6. Y. Wang, J. Yan, J. Li, Z. Li, and W. Zhang, “A new model of economic dispatch considering energy conservation and environmental protection in electricity market,” Energy Procedia, vol. 17, pp. 1769–1777, 2012. View at Publisher · View at Google Scholar
  7. R. Storn and K. Price, “Differential evolution—a simple and efficient adaptive scheme for global optimization over continuous spaces,” Technology Report TR-95-012, International Computer Science Institute (ICSI), Berkeley, Calif, USA, 1997. View at Google Scholar · View at Scopus
  8. A. J. Wood and B. F. Wollenburg, Power Generation Operation and Control, John Wiley & Sons, New York, NY, USA, 1996.
  9. C. A. Coronado, M. R. Figueroa, and C. A. Roa-Sepulveda, “A reinforcement learning solution for the unit commitment problem,” in Proceedings of the 47th International Universities Power Engineering Conference, pp. 1–6, IEEE, London, UK, September 2012. View at Publisher · View at Google Scholar · View at Scopus
  10. M. H. Sendaula, S. K. Biswas, A. Eltom, C. Parten, and W. Kazibwe, “Simultaneous solution of unit commitment and dispatch problems using artificial neural networks,” International Journal of Electrical Power and Energy Systems, vol. 15, no. 3, pp. 193–199, 1993. View at Publisher · View at Google Scholar · View at Scopus
  11. B. Saravanan, S. Das, S. Sikri, and D. P. Kothari, “A solution to the unit commitment problem—a review,” Frontiers in Energy, vol. 7, no. 2, pp. 223–236, 2013. View at Publisher · View at Google Scholar · View at Scopus
  12. E. A. Bakirtzis, P. N. Biskas, D. P. Labridis, and A. G. Bakirtzis, “Multiple time resolution unit commitment for short-term operations scheduling under high renewable penetration,” IEEE Transactions on Power Systems, vol. 29, no. 1, pp. 149–159, 2014. View at Publisher · View at Google Scholar · View at Scopus
  13. F.-J. Heredia, M. J. Rider, and C. Corchero, “Optimal bidding strategies for thermal and generic programming units in the day-ahead electricity market,” IEEE Transactions on Power Systems, vol. 25, no. 3, pp. 1504–1518, 2010. View at Publisher · View at Google Scholar · View at Scopus
  14. R. Laia, H. M. I. Pousinho, R. Melíco, and V. M. F. Mendes, “Self-scheduling and bidding strategies of thermal units with stochastic emission constraints,” Energy Conversion and Management, vol. 89, pp. 975–984, 2015. View at Publisher · View at Google Scholar · View at Scopus
  15. S. Subramanian, M. Abirami, and S. Ganesan, “Reliable/cost-effective maintenance schedules for a composite power system using fuzzy supported teaching learning algorithm,” IET Generation, Transmission and Distribution, vol. 9, no. 9, pp. 805–819, 2015. View at Publisher · View at Google Scholar · View at Scopus
  16. P. Rodilla, S. Cerisola, and C. Batlle, “Modeling the major overhaul cost of gas-fired plants in the unit commitment problem,” IEEE Transactions on Power Systems, vol. 29, no. 3, pp. 1001–1011, 2014. View at Publisher · View at Google Scholar · View at Scopus
  17. L. Tang, P. Che, and J. Wang, “Corrective unit commitment to an unforeseen unit breakdown,” IEEE Transactions on Power Systems, vol. 27, no. 4, pp. 1729–1740, 2012. View at Publisher · View at Google Scholar · View at Scopus
  18. G. Morales-España, J. M. Latorre, and A. Ramos, “Tight and compact MILP formulation of start-up and shut-down ramping in unit commitment,” IEEE Transactions on Power Systems, vol. 28, no. 2, pp. 1288–1296, 2013. View at Publisher · View at Google Scholar · View at Scopus
  19. C. Wang and S. M. Shahidehpour, “Ramp-rate limits in unit commitment and economic dispatch incorporating rotor fatigue effect,” IEEE Transactions on Power Systems, vol. 9, no. 3, pp. 1539–1545, 1994. View at Publisher · View at Google Scholar · View at Scopus
  20. N. Troy, D. Flynn, M. Milligan, and M. O'Malley, “Unit commitment with dynamic cycling costs,” IEEE Transactions on Power Systems, vol. 27, no. 4, pp. 2196–2205, 2012. View at Publisher · View at Google Scholar · View at Scopus
  21. V. K. Jadoun, N. Gupta, K. R. Niazi, and A. Swarnkar, “Modulated particle swarm optimization for economic emission dispatch,” International Journal of Electrical Power and Energy Systems, vol. 73, pp. 80–88, 2015. View at Publisher · View at Google Scholar · View at Scopus
  22. J. Di, M. Fei, L. Wang, and W. Wu, “Multi-objective optimization for economic emission dispatch using an improved multi-objective binary differential evolution algorithm,” Energy Procedia, vol. 61, pp. 2016–2021, 2014. View at Publisher · View at Google Scholar
  23. R. Arul, S. Velusami, and G. Ravi, “A new algorithm for combined dynamic economic emission dispatch with security constraints,” Energy, vol. 79, pp. 496–511, 2015. View at Publisher · View at Google Scholar · View at Scopus
  24. N. I. Nwulu and X. Xia, “Multi-objective dynamic economic emission dispatch of electric power generation integrated with game theory based demand response programs,” Energy Conversion and Management, vol. 89, pp. 963–974, 2015. View at Publisher · View at Google Scholar · View at Scopus
  25. G. P. Granelli, M. Montagna, G. L. Pasini, and P. Marannino, “Emission constrained dynamic dispatch,” Electric Power Systems Research, vol. 24, no. 1, pp. 55–64, 1992. View at Publisher · View at Google Scholar · View at Scopus
  26. Z. Zhou and A. Botterud, “Dynamic scheduling of operating reserves in co-optimized electricity markets with wind power,” IEEE Transactions on Power Systems, vol. 29, no. 1, pp. 160–171, 2014. View at Publisher · View at Google Scholar · View at Scopus
  27. S. J. Plathottam and H. Salehfar, “Unbiased economic dispatch in control areas with conventional and renewable generation sources,” Electric Power Systems Research, vol. 119, pp. 313–321, 2015. View at Publisher · View at Google Scholar · View at Scopus
  28. K. Geetha, V. Sharmila Deve, and K. Keerthivasan, “Design of economic dispatch model for Gencos with thermal and wind powered generators,” International Journal of Electrical Power and Energy Systems, vol. 68, pp. 222–232, 2015. View at Publisher · View at Google Scholar · View at Scopus
  29. H. Zhong, Q. Xia, Y. Xia et al., “Integrated dispatch of generation and load: a pathway towards smart grids,” Electric Power Systems Research, vol. 120, pp. 206–213, 2015. View at Publisher · View at Google Scholar · View at Scopus
  30. A. Khodaei, M. Shahidehpour, and S. Bahramirad, “SCUC with hourly demand response considering intertemporal load characteristics,” IEEE Transactions on Smart Grid, vol. 2, no. 3, pp. 564–571, 2011. View at Publisher · View at Google Scholar · View at Scopus
  31. I. T. Papaioannou, A. Purvins, and E. Tzimas, “Demand shifting analysis at high penetration of distributed generation in low voltage grids,” International Journal of Electrical Power and Energy Systems, vol. 44, no. 1, pp. 540–546, 2013. View at Publisher · View at Google Scholar · View at Scopus
  32. N. Nwulu, X. Xia, and J. Zhang, “Determining the optimal incentive and number of retrofits for a demand response program in South Africa,” in Proceedings of the 5th International Conference on Applied Energy (ICAE '13), pp. 1–4, Pretoria, South Africa, 2013.
  33. F. H. Magnago, J. Alemany, and J. Lin, “Impact of demand response resources on unit commitment and dispatch in a day-ahead electricity market,” International Journal of Electrical Power and Energy Systems, vol. 68, pp. 142–149, 2015. View at Publisher · View at Google Scholar · View at Scopus
  34. H. Wu, M. Shahidehpour, and A. Al-Abdulwahab, “Hourly demand response in day-ahead scheduling for managing the variability of renewable energy,” IET Generation, Transmission and Distribution, vol. 7, no. 3, pp. 226–234, 2013. View at Publisher · View at Google Scholar · View at Scopus
  35. V. K. Tumuluru, Z. Huang, and D. H. K. Tsang, “Integrating price responsive demand into the unit commitment problem,” IEEE Transactions on Smart Grid, vol. 5, no. 6, pp. 2757–2765, 2014. View at Publisher · View at Google Scholar · View at Scopus
  36. T. Ackermann, G. Andersson, and L. Söder, “Distributed generation: a definition,” Electric Power Systems Research, vol. 57, no. 3, pp. 195–204, 2001. View at Publisher · View at Google Scholar · View at Scopus
  37. P. Kayal, T. Bhattacharjee, and C. Chanda, “Planning of renewable DGs for distribution network considering load model: a multi-objective approach,” Energy Procedia, vol. 54, pp. 85–96, 2014. View at Publisher · View at Google Scholar
  38. A. Safdarian, M. Fotuhi-Firuzabad, and M. Lehtonen, “Integration of price-based demand response in DisCos' short-term decision model,” IEEE Transactions on Smart Grid, vol. 5, no. 5, pp. 2235–2245, 2014. View at Publisher · View at Google Scholar · View at Scopus
  39. L. Ocampo, E. Clark, and A. Liggayu, “Lot size formulation minimizing makespan with transactional and movement times,” Advances in Industrial Engineering and Management, vol. 3, no. 2, pp. 13–18, 2014. View at Google Scholar