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Double-layer optimization model for integrated energy system under multiple robustness

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  • Xiaobao Yu
  • Wenjing Zhao

Abstract

Output instability is one of the important constraints limiting the large-scale application of renewable energy. The development of comprehensive energy systems can effectively improve energy utilization efficiency, but there is still a problem of randomness in renewable energy output. The paper conducts research on the uncertainty of distributed energy output and load, constructs a comprehensive energy system optimization model that takes into account the robustness of bilevel programming, and solves the model using the firefly algorithm. The calculation results show that optimizing uncertainty can significantly reduce the actual operating costs of the system, with a maximum reduction of 14.43%. When the distributed wind power interval is within [0190], a dynamic balance between cost and consumption rate can be achieved.

Suggested Citation

  • Xiaobao Yu & Wenjing Zhao, 2023. "Double-layer optimization model for integrated energy system under multiple robustness," PLOS ONE, Public Library of Science, vol. 18(9), pages 1-19, September.
    • Handle: RePEc:plo:pone00:0291787
    DOI: 10.1371/journal.pone.0291787
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    References listed on IDEAS

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    1. Ghaffari, Abolfazl & Askarzadeh, Alireza, 2020. "Design optimization of a hybrid system subject to reliability level and renewable energy penetration," Energy, Elsevier, vol. 193(C).
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