电动汽车与智能电网协同调度及商业模式探索

秦 晴

汽车电器 ›› 2026, Vol. 1 ›› Issue (1) : 60-62.

汽车电器 ›› 2026, Vol. 1 ›› Issue (1) : 60-62.
智能网联

电动汽车与智能电网协同调度及商业模式探索

  • 秦 晴
作者信息 +

Exploration of Collaborative Dispatching and Business Models between Electric Vehicles and Smart Grids

  • Qin Qing
Author information +
文章历史 +

摘要

随着电动汽车产业的飞速发展,大量电动汽车接入电网给电力系统稳定运行带来了巨大的挑战,同时也给能源转型带来新的机遇。电动汽车和智能电网的协同调度是解决该问题的重要途径。本文主要论述协同调度对提高电网运行效率、促进新能源消纳等方面的作用,分析协同调度所遇到的用电负荷随机性、信息交互复杂性等难点,提出基于有序充电、V2G 技术等的协同调度策略,探讨直接接入、负荷聚合体间接接入等商业模式。研究发现,协同调度策略与商业模式的革新运用,有助于实现电动汽车与智能电网的良好互动,助力能源的可持续发展。

Abstract

With the rapid development of the electric vehicle industry, the connection of a large number of electric vehicles to the power grid has brought huge challenges to the stable operation of the power system, while also presenting new opportunities for energy transformation. The coordinated dispatching of electric vehicles and smart grids is an important way to solve this problem. This paper mainly discusses the role of collaborative dispatching in improving the operational efficiency of power grids and promoting the consumption of new energy. It analyzes the difficulties encountered in collaborative dispatching, such as the randomness of power consumption loads and the complexity of information interaction. It proposes collaborative dispatching strategies based on orderly charging, V2G technology, etc., and explores business models such as direct access and indirect access by load aggregators. Research has found that the innovative application of collaborative dispatching strategies and business models helps achieve good interaction between electric vehicles and smart grids, and contributes to the sustainable development of energy.

关键词

电动汽车 / 智能电网 / 协同调度 / 商业模式

Key words

electric vehicles / smart grid / collaborative scheduling / business model

引用本文

导出引用
秦 晴. 电动汽车与智能电网协同调度及商业模式探索[J]. 汽车电器. 2026, 1(1): 60-62
Qin Qing. Exploration of Collaborative Dispatching and Business Models between Electric Vehicles and Smart Grids[J]. AUTO ELECTRIC PARTS. 2026, 1(1): 60-62
中图分类号: U469.72   

参考文献

[1] 刘鸿鑫 . 基于时空特性的电动汽车充电站规划及充电调度策略研究 [D]. 贵州:贵州大学,2025.
[2] 王朋朋 . 基于改进沙猫群算法的电动汽车与电网双层调度策略 [D]. 大庆:东北石油大学,2024.
[3] 杨益菲 . 不确定环境下电动汽车智能充电管理与优化调度研究 [D]. 桂林:广西师范大学,2023.
[4] 都彬彬。基于改进鱼群算法的电动汽车与电网分层优化策略的应用 [D]. 大庆:东北石油大学,2023.
[5] 郑杨 . 含电动汽车的多区域虚拟电厂协同优化调度研究[D]. 福州:福建工程学院,2023.
[6] 蔡文辉 . 净零能耗背景下的楼宇群能源协同调度与共享交易方法 [D]. 成都:四川大学,2023.
[7] 黄曌 . 区域能源互联网视角下多源协同调度策略研究 [J].电器与能效管理技术,2021(9): 27-31.
[8] 王杰 . 含电动汽车和分布式电源的微电网协同调度策略研究 [D]. 昆明:昆明理工大学,2021.

Accesses

Citation

Detail

段落导航
相关文章

/