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Solar roads integration: A two-stage robust scheduling in coupled power-transportation systems amidst multiple uncertainties

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  • Dai, Wei
  • Tao, Yiwei
  • Liu, Hui
  • Kurniawan, Tonni Agustiono
  • Goh, Hui Hwang
  • Shi, Bochen

Abstract

Solar roads (SRs) offer potential for urban energy transition in transportation sector and addressing the scarcity of urban photovoltaic land, yet integrating them into power systems tightly couples transportation and power grids, posing safety challenges amidst SR uncertainties. This paper presents a robust scheduling method for the coupled power-transportation systems (CPTS) with SRs, addressing multiple uncertainties. It proposes an enhanced traffic assignment model (ETAM) to optimize both generation benefits of SRs and user travel costs, forming a joint optimal flow model for the CPTS. A two-stage robust scheduling model considers uncertainties in solar radiation, traffic demand, and power load. Phase one determines energy storage (ES) unit operations and electricity purchases, while phase two identifies worst-case scenarios, such as SRs operation, based on phase one decisions. The model, transformed into Mixed Integer Linear Programming (MILP) through convex relaxation, is solved using the Column and Constraint Generation (C&CG) algorithm, demonstrating efficacy through case studies.

Suggested Citation

  • Dai, Wei & Tao, Yiwei & Liu, Hui & Kurniawan, Tonni Agustiono & Goh, Hui Hwang & Shi, Bochen, 2025. "Solar roads integration: A two-stage robust scheduling in coupled power-transportation systems amidst multiple uncertainties," Applied Energy, Elsevier, vol. 381(C).
    • Handle: RePEc:eee:appene:v:381:y:2025:i:c:s0306261924024747
    DOI: 10.1016/j.apenergy.2024.125090
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    References listed on IDEAS

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