|Table of Contents|

Scheduling strategy for expressway mobile energy storage vehicles(PDF)

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2025年4期
Page:
177-188
Research Field:
交通工程
Publishing date:

Info

Title:
Scheduling strategy for expressway mobile energy storage vehicles
Author(s):
WANG Da-wei1; 2;  XU Hong-ke1;  DAI Liang1;  LI Ji-wei1
(1. School of Electronics and Control Engineering, Chang'an University, Xi'an 710064, Shaanxi, China; 2. College of Physics & Electronic Information, Luoyang Normal University, Luoyang 471934, Henan, China)
Keywords:
traffic engineering;  mobile energy storage vehicle;  flexible load;  renewable energy generation;  expressway
PACS:
U469.72
DOI:
10.19721/j.cnki.1671-8879.2025.04.015
Abstract:
To address the supply and demand imbalance between flexible loads along expressways and renewable energy generation, a scheduling strategy for mobile energy storage vehicles(MESVs)was proposed. This strategy utilized the electricity generated from renewable energy at the expressway management center(EMC)to charge the storage battery packs of MESVs. These MESVs were then dispatched to expressway service areas(EMAs)to supply green energy to flexible loads. Considering the traffic and energy characteristics of the expressway system, the spatiotemporal-storage constraint equations for MESVs were established. The model was formulated as a mixed-integer quadratic constraint programming problem to solve for the optimal route and charging/discharging strategies, aiming to maximize the net energy supply benefit while balancing costs from expressway driving and storage battery pack losses. The proposed scheduling strategy was validated in an expressway system that includes four ESAs, one EMC, and five MESVs. The results show that the strategy effectively achieves the collection and redistribution of renewable energy at the EMC. Compared with the two comparative cases, the proposed strategy demonstrates superior performance in renewable energy utilization, achieving a total consumption of 3 167 kW·h. It also shows the best performance in meeting the power supply demands of flexible loads in ESAs, with a demand satisfaction rate of 45%. The findings provide a scientific basis and theoretical guidance for expressway operation and management departments to address the regional imbalance between energy demand and green energy supply, contributing to the integrated development of expressway transportation and energy systems.5 tabs, 13 figs, 25 refs.

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Last Update: 2025-07-25