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Scenario adjustable scheduling model with robust constraints for energy intensive corporate microgrid with wind power

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  • Liu, Kun
  • Gao, Feng

Abstract

With the development of wind power technology, wind power integration supplies an effective and practical way to decrease production cost for energy intensive corporate microgrid. Then the scenario adjustable scheduling model with robust constraints is built in this paper. In this model, both energy cost and wind power utilization are taken into account. Moreover, the objective is to minimize the electricity cost which is formulated by scenario tree and the wind power utilization is formulated as a robust constraint. In addition, the capacity of wind power accommodation is also analyzed. Finally, a corporate microgrid is tested. The results show that the capacity of wind power accommodation with 15% flexible load is increased 11.52% which is 5.23% more than that without re-scheduling process. And the energy expected cost with re-scheduling process is 715823$ which is 4.69% less than that without re-scheduling process.

Suggested Citation

  • Liu, Kun & Gao, Feng, 2017. "Scenario adjustable scheduling model with robust constraints for energy intensive corporate microgrid with wind power," Renewable Energy, Elsevier, vol. 113(C), pages 1-10.
    • Handle: RePEc:eee:renene:v:113:y:2017:i:c:p:1-10
    DOI: 10.1016/j.renene.2017.05.056
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    Cited by:

    1. Ruifeng Shi & Shaopeng Li & Changhao Sun & Kwang Y. Lee, 2018. "Adjustable Robust Optimization Algorithm for Residential Microgrid Multi-Dispatch Strategy with Consideration of Wind Power and Electric Vehicles," Energies, MDPI, vol. 11(8), pages 1-22, August.
    2. Ali Haddad-Sisakht & Sarah M. Ryan, 2018. "Conditions under which adjustability lowers the cost of a robust linear program," Annals of Operations Research, Springer, vol. 269(1), pages 185-204, October.

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