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

@article{Kuznia2013StochasticOF,
  title={Stochastic optimization for power system configuration with renewable energy in remote areas},
  author={Ludwig Kuznia and Bo Zeng and Grisselle Centeno and Zhixin Miao},
  journal={Annals OR},
  year={2013},
  volume={210},
  pages={411-432}
}
This paper presents the first stochastic mixed integer programming model for a comprehensive hybrid power system design, including renewable energy generation, storage device, transmission network, and thermal generators, in remote areas. Given the computational complexity of the model, we developed a Benders’ decomposition algorithm with Pareto-optimal cuts. Computational results show significant improvement in our ability to solve this type of problem in comparison to a state-of-the-art… CONTINUE READING
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