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Reliability-driven optimal deployment of mobile energy storage for coupled transportation-power distribution network

Author

Listed:
  • Cheng, Yusi
  • Yu, Tao
  • Wang, Ziyao
  • Chen, Zongyuan
  • Xiao, Wencong
  • Pan, Zhenning

Abstract

Mobile energy storage serves as a key measure for enhancing the reliability of distribution networks through dynamic energy dispatch across coupled transportation-power distribution networks. However, most existing deployment models of mobile energy storage for coupled transportation-power distribution networks fail to explicitly embed topological reliability as an integral part of the model formulation, which results in suboptimal performance in enhancing system reliability. To this end, this paper proposes a reliability-driven optimal deployment of mobile energy storage for coupled transportation-power distribution networks. First, a coupled transportation-power distribution network model is developed to capture the spatiotemporal impacts of distribution network topology, road network layout and traffic flow on mobile energy storage. Second, an optimal deployment model of mobile energy storage that incorporates explicit reliability is proposed while considering network reconfiguration. The model comprehensively evaluates EENS, SAIDI, and SAIFI. Then, low-probability high-risk scenarios are considered to achieve high reliability in distribution networks. Conditional Value-at-Risk is adopted to manage tail risks from these scenarios, as it effectively captures potential extreme losses beyond the expected range. Finally, the effectiveness of proposed method in improving supply reliability and risk aversion is validated using the IEEE-33 bus system and an actual distribution network in a southern region of China.

Suggested Citation

  • Cheng, Yusi & Yu, Tao & Wang, Ziyao & Chen, Zongyuan & Xiao, Wencong & Pan, Zhenning, 2026. "Reliability-driven optimal deployment of mobile energy storage for coupled transportation-power distribution network," Applied Energy, Elsevier, vol. 413(C).
    • Handle: RePEc:eee:appene:v:413:y:2026:i:c:s0306261926004186
    DOI: 10.1016/j.apenergy.2026.127766
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