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Stochastic optimization for power system configuration with renewable energy in remote areas

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  • Ludwig Kuznia
  • Bo Zeng
  • Grisselle Centeno
  • Zhixin Miao

Abstract

This paper presents a stochastic mixed integer programming model for a comprehensive hybrid power system design problem, including renewable energy generation, storage device, transmission network, and thermal generators, for remote areas. Given the complexity of the model, we developed a Benders’ decomposition algorithm with two additional types of cutting planes: Pareto-optimal cuts generated using a modified Magnanti-Wong method and cuts generated from a maximum feasible subsystem. Computational results show significant improvement in our ability to solve this type of problem in comparison to a state-of-the-art professional solver. This model and the solution algorithm provide an analytical decision support tool for the hybrid power system design problem. Copyright Springer Science+Business Media, LLC 2013

Suggested Citation

  • Ludwig Kuznia & Bo Zeng & Grisselle Centeno & Zhixin Miao, 2013. "Stochastic optimization for power system configuration with renewable energy in remote areas," Annals of Operations Research, Springer, vol. 210(1), pages 411-432, November.
    • Handle: RePEc:spr:annopr:v:210:y:2013:i:1:p:411-432:10.1007/s10479-012-1110-9
    DOI: 10.1007/s10479-012-1110-9
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    References listed on IDEAS

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    Cited by:

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