Keywords
urban distribution network, mobile energy storage, cluster partition, energy storage planning, distributionnetwork optimization
Abstract
Given the increasing demand for flexible resources in distribution networks,investigating the trade-off between the economic efficiency of resource allocation during the pre-planning phase and the enhancement of resilience in the fault recovery stage is essential for avoiding asset underutilization and excessive investment.To address this issue,the paper proposes a regional allocation method for mobile energy storage systems (MESSs ) that considers power-transportation coupling.First,a coupled distribution-transportation model is constructed based on the interactions among vehicles,charging stations,and the distribution network to characterize traffic flow dynamics.Next,a comprehensive indicator integrating electrical modularity and geographic accessibility is developed and an improved genetic algorithm is employed to partition the coupled distribution-transportation network into clusters.A two-layer optimization framework integrating regional planning and scheduling operation is then designed,in which the upper-layer model optimizes MESS capacity and power configurations while the lower-layer model formulates dynamic scheduling strategies based on spatiotemporal mobility characteristics of the MESSs.Particle swarm optimization (PSO) and mixed-integer linear programming (MILP ) are further employed to solve the planning model and obtain the regional allocation scheme for the MESSs.Finally,simulation analysis of the proposed method is conducted through case studies.The results demonstrate that the proposed method not only effectively reduces the complexity of spatiotemporal MESS scheduling but also significantly improves the operational economy of the distribution network.It effectively promotes the coordination between economic efficiency optimization and resilience enhancement during the pre-planning phase.
DOI
10.19781/j.issn.1673-9140.2026.04.024
First Page
290
Last Page
303
Recommended Citation
Liu, Zifa; Wang, Chang; and Ye, Mengni
(2026)
"Optimal regional allocation of mobile energy storage in urban distribution networks considering distribution-transportation coupling,"
Journal of Electric Power Science and Technology: Vol. 41:
Iss.
4, Article 24.
DOI: 10.19781/j.issn.1673-9140.2026.04.024
Available at:
https://jepst.researchcommons.org/journal/vol41/iss4/24
