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Subhourly unit commitment with feasible energy delivery constraints

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  • Yang, Yuanchao
  • Wang, Jianhui
  • Guan, Xiaohong
  • Zhai, Qiaozhu

Abstract

Unit commitment (UC) is one of the most important daily tasks that independent system operators or regional transmission organizations must accomplish in the electric power market. In the conventional UC problem, especially under a deregulated power system, the power schedule is usually taken as an energy schedule. However, this simplification may preclude the realization of the feasible energy delivery in real cases owing to the violation of ramping limits, as shown in the literature. If the power system integrates large-scale wind energy, the above “infeasible” energy delivery problem will be worsened, since wind power output will increase the variability of the “net-load” balanced by the thermal units. In this paper, a new UC model is provided that includes the consideration of “feasible” energy delivery under large-scale wind integration. The proposed model can give not only the optimal and feasible energy schedule to thermal units but also a precise ramping process for implementing this schedule. The problem is formulated as a mixed-integer linear programming problem; a 5-unit and a 36-unit system with 25% wind integration are used to test the proposed model. Finally, the numerical results support the conclusions above effectively.

Suggested Citation

  • Yang, Yuanchao & Wang, Jianhui & Guan, Xiaohong & Zhai, Qiaozhu, 2012. "Subhourly unit commitment with feasible energy delivery constraints," Applied Energy, Elsevier, vol. 96(C), pages 245-252.
    • Handle: RePEc:eee:appene:v:96:y:2012:i:c:p:245-252
    DOI: 10.1016/j.apenergy.2011.11.008
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    References listed on IDEAS

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    1. Johnson, Raymond B. & Oren, Shmuel S. & Svoboda, Alva J., 1997. "Equity and efficiency of unit commitment in competitive electricity markets," Utilities Policy, Elsevier, vol. 6(1), pages 9-19, March.
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    Cited by:

    1. Cui, Mingjian & Zhang, Jie, 2018. "Estimating ramping requirements with solar-friendly flexible ramping product in multi-timescale power system operations," Applied Energy, Elsevier, vol. 225(C), pages 27-41.
    2. Moradi, Saeed & Khanmohammadi, Sohrab & Hagh, Mehrdad Tarafdar & Mohammadi-ivatloo, Behnam, 2015. "A semi-analytical non-iterative primary approach based on priority list to solve unit commitment problem," Energy, Elsevier, vol. 88(C), pages 244-259.
    3. German Morales-España & Javier García-González & Andrés Ramos, 2012. "Impact on Reserves and Energy Delivery of Current UC-based Market-Clearing Formulations," RSCAS Working Papers 2012/57, European University Institute.
    4. Woo, C.K. & Sreedharan, P. & Hargreaves, J. & Kahrl, F. & Wang, J. & Horowitz, I., 2014. "A review of electricity product differentiation," Applied Energy, Elsevier, vol. 114(C), pages 262-272.
    5. Wang, Jiadong & Wang, Jianhui & Liu, Cong & Ruiz, Juan P., 2013. "Stochastic unit commitment with sub-hourly dispatch constraints," Applied Energy, Elsevier, vol. 105(C), pages 418-422.
    6. Glotić, Arnel & Zamuda, Aleš, 2015. "Short-term combined economic and emission hydrothermal optimization by surrogate differential evolution," Applied Energy, Elsevier, vol. 141(C), pages 42-56.
    7. Morales-España, Germán & Ramírez-Elizondo, Laura & Hobbs, Benjamin F., 2017. "Hidden power system inflexibilities imposed by traditional unit commitment formulations," Applied Energy, Elsevier, vol. 191(C), pages 223-238.
    8. Philipsen, Rens & Morales-España, Germán & de Weerdt, Mathijs & de Vries, Laurens, 2019. "Trading power instead of energy in day-ahead electricity markets," Applied Energy, Elsevier, vol. 233, pages 802-815.
    9. Fernández-Blanco, Ricardo & Arroyo, José M. & Alguacil, Natalia, 2014. "Consumer payment minimization under uniform pricing: A mixed-integer linear programming approach," Applied Energy, Elsevier, vol. 114(C), pages 676-686.
    10. Yang, Yuanchao & Gao, Zichen, 2019. "Power optimization of the environmental control system for the civil more electric aircraft," Energy, Elsevier, vol. 172(C), pages 196-206.

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