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A temporally adaptive IGDT-DRO framework for logistics–energy coordinated scheduling of port integrated energy systems

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  • Xu, Yuhan
  • Duan, Xuxia
  • Liu, Zigang
  • Yu, Songyuan
  • Zhang, Yi
  • Fang, Fang

Abstract

With the aim of fostering a green environmentally friendly energy supply–demand structure and flexible high-efficiency operational management for ports, this study develops a coordinated scheduling scheme for a port integrated energy system (PIES). Firstly, a novel optimization framework is constructed considering logistics scheduling process and energy management mechanism. To address the inherent uncertainty associated with wind power output, a strengthened ambiguity set is defined by accounting for the offset characteristics of the forecast errors over the entire scheduling horizon. On this basis, a temporally adaptive information-gap decision theory–distribution-ally robust optimization (IGDT–DRO) model is proposed. Furthermore, matrix-structured auxiliary variables are introduced into the strong duality theory to transform the infinite-dimensional search over probability distributions into a finite set of convex constraints. Finally, results of case studies validate superiority of proposed method in balancing the economy and robustness of logistics–energy coupling scheduling.

Suggested Citation

  • Xu, Yuhan & Duan, Xuxia & Liu, Zigang & Yu, Songyuan & Zhang, Yi & Fang, Fang, 2026. "A temporally adaptive IGDT-DRO framework for logistics–energy coordinated scheduling of port integrated energy systems," Energy, Elsevier, vol. 351(C).
    • Handle: RePEc:eee:energy:v:351:y:2026:i:c:s0360544226008911
    DOI: 10.1016/j.energy.2026.140788
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