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Power system optimization

Author

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  • Bogdan, Željko
  • Cehil, Mislav
  • Kopjar, Damir

Abstract

Long-term gas purchase contracts usually determine delivery and payment for gas on the regular hourly basis, independently of demand side consumption. In order to use fuel gas in an economically viable way, optimization of gas distribution for covering consumption must be introduced. In this paper, a mathematical model of the electric utility system which is used for optimization of gas distribution over electric generators is presented. The utility system comprises installed capacity of 1500MW of thermal power plants, 400MW of combined heat and power plants, 330MW of a nuclear power plant and 1600MW of hydro power plants. Based on known demand curve the optimization model selects plants according to the prescribed criteria. Firstly it engages run-of-river hydro plants, then the public cogeneration plants, the nuclear plant and thermal power plants. Storage hydro plants are used for covering peak load consumption. In case of shortage of installed capacity, the cross-border purchase is allowed. Usage of dual fuel equipment (gas–oil), which is available in some thermal plants, is also controlled by the optimization procedure. It is shown that by using such a model it is possible to properly plan the amount of fuel gas which will be contracted. The contracted amount can easily be distributed over generators efficiently and without losses (no breaks in delivery). The model helps in optimizing of fuel gas–oil ratio for plants with combined burners and enables planning of power plants overhauls over a year in a viable and efficient way.

Suggested Citation

  • Bogdan, Željko & Cehil, Mislav & Kopjar, Damir, 2007. "Power system optimization," Energy, Elsevier, vol. 32(6), pages 955-960.
    • Handle: RePEc:eee:energy:v:32:y:2007:i:6:p:955-960
    DOI: 10.1016/j.energy.2007.01.004
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    Citations

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    Cited by:

    1. Bujak, Janusz, 2009. "Optimal control of energy losses in multi-boiler steam systems," Energy, Elsevier, vol. 34(9), pages 1260-1270.
    2. Sadegheih, A., 2009. "Optimization of network planning by the novel hybrid algorithms of intelligent optimization techniques," Energy, Elsevier, vol. 34(10), pages 1539-1551.
    3. Kovačič, Miha & Šarler, Božidar, 2014. "Genetic programming prediction of the natural gas consumption in a steel plant," Energy, Elsevier, vol. 66(C), pages 273-284.
    4. Yuan, Jiahai & Xu, Yan & Kang, Junjie & Zhang, Xingping & Hu, Zheng, 2014. "Nonlinear integrated resource strategic planning model and case study in China's power sector planning," Energy, Elsevier, vol. 67(C), pages 27-40.
    5. 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.
    6. Milad Ghaisi & Milad Rahmani & Pedram Gharghabi & Ali Zoghi & Seyed Hossein Hosseinian, 2017. "Scheduling a Wind Hydro-Pumped-Storage Unit Considering the Economical Optimization," Post-Print hal-01478231, HAL.

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