一种面向日前调频的换电站与车队双层调度方法及系统

By constructing a two-layer optimization framework and an augmented network flow graph, the problem of coordinated optimization between fleet scheduling, battery swapping station inventory, and the power frequency regulation market was solved, achieving efficient operation and improved economic benefits for battery swapping stations and autonomous driving fleets.

CN122026465BActive Publication Date: 2026-07-17NORTH CHINA ELECTRIC POWER UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NORTH CHINA ELECTRIC POWER UNIV
Filing Date
2026-04-15
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies are insufficient to coordinate fleet scheduling, battery swapping station inventory, and participation in the power frequency regulation market while ensuring user travel needs and battery swapping service quality, thus failing to achieve synergistic optimization of frequency regulation revenue and travel operation revenue.

Method used

A two-layer optimization framework is constructed with maximizing the frequency regulation revenue of battery swapping stations as the upper-level objective and the operational efficiency of autonomous driving fleets as the lower-level objective. By preprocessing the grid frequency regulation signal, electricity price, and battery charging and discharging capacity, a frequency regulation bidding and inventory planning model for battery swapping stations before the day of the day is established, and augmented network flow graphs of time, space, and SOC are generated. Road arcs and battery swapping arcs are set to describe the vehicle rescheduling and battery swapping replenishment process. An alternating iterative update strategy is adopted to optimize the frequency regulation revenue and fleet operation revenue.

Benefits of technology

This has improved the economic efficiency of battery swapping stations and the operational efficiency of autonomous driving fleets, enabled the rational allocation and utilization of resources, and optimized the revenue of battery swapping services and the frequency regulation market.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明提出了一种面向日前调频的换电站与车队双层调度方法及系统,涉及换电站领域。其包括基于预处理后的电网调频信号、电价与电池充放电能力,建立的最大化换电服务收益和调频市场收益为目标的目标函数,构建换电站日前的调频投标与库存规划模型;基于满电电池换电调度方案,将路网建模为有向图,生成时间、空间和SOC的增广网络流图;以最大化自动驾驶车队运营商收益为目标的目标函数,构建自动驾驶车队调度模型。本发明能够挖掘换电站在调频市场中的经济价值与车队灵活性之间的耦合潜力。
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