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Pumped-storage unit commitment with considerations for energy demand, economics, and environmental constraints

Author

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  • Nazari, M.E.
  • Ardehali, M.M.
  • Jafari, S.

Abstract

Aside from their zero fuel costs, the pumped-storage units can reduce emissions of thermal generating units. The objective of this study is to investigate (a) thermal unit commitment with considerations for environmental constraints (ECUC), and (b) pumped-storage and thermal unit commitment with considerations for environmental constraints (PSECUC) based on a new optimization methodology. The PSECUC determines the start-up and shut-down schedules of pumped-storage and thermal generating units that meet the required demand so that the costs for fuel, start-up, and emissions (TC) are minimized. For the ECUC (thermal generating units only), the results show improvements of 0.03 and 0.50% in TC and excess emissions (EXEM), respectively. For the PSECUC, it is determined that 2-pumped-storage units can simultaneously decrease the TC and EXEM by 1.20 and 60%, respectively.

Suggested Citation

  • Nazari, M.E. & Ardehali, M.M. & Jafari, S., 2010. "Pumped-storage unit commitment with considerations for energy demand, economics, and environmental constraints," Energy, Elsevier, vol. 35(10), pages 4092-4101.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:10:p:4092-4101
    DOI: 10.1016/j.energy.2010.06.022
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    References listed on IDEAS

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    1. Jamalzadeh, R. & Ardehali, M.M. & Rashidinejad, M., 2008. "Development of modified rational buyer auction for procurement of ancillary services utilizing participation matrix," Energy Policy, Elsevier, vol. 36(2), pages 900-909, February.
    2. Khanmohammadi, S. & Amiri, M. & Haque, M. Tarafdar, 2010. "A new three-stage method for solving unit commitment problem," Energy, Elsevier, vol. 35(7), pages 3072-3080.
    3. Fesanghary, M. & Ardehali, M.M., 2009. "A novel meta-heuristic optimization methodology for solving various types of economic dispatch problem," Energy, Elsevier, vol. 34(6), pages 757-766.
    4. Bogdan, Željko & Cehil, Mislav & Kopjar, Damir, 2007. "Power system optimization," Energy, Elsevier, vol. 32(6), pages 955-960.
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