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光伏-储能移动充电站能量管理策略

Energy Management Strategy for Photovoltaic-Energy Storage Mobile Charging Station

作者 Qingsong Wang · Shaoqi Yang · Feiyu Chen · Ming Cheng · Mingqian Chen · Giuseppe Buja
期刊 IEEE Transactions on Sustainable Energy
出版日期 2025年10月
卷/期 第 17 卷 第 2 期
技术分类 储能系统技术
技术标签 储能变流器PCS 光储一体化 充电桩 模型预测控制MPC
相关度评分 ★★★★★ 5.0 / 5.0
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中文摘要

本文提出光伏-储能移动充电站(PV-ES-MCS)架构,融合光伏发电、储能系统与移动充电服务,构建低碳灵活的充电服务体系;建立考虑经济性与调度需求的能量管理模型,采用灰狼优化算法求解,在保障100%电池更换成功率的同时降低运营成本6.7%。

English Abstract

This paper proposes the integration of photovoltaic-energy storage charging stations with mobile charging services (MCD)to form a photovoltaic-energy storage mobile charging station (PV-ES-MCS). The PV-ES-MCS establishes a charging service framework that simultaneously achieves low-carbon environmental benefits and operational flexibility. Furthermore, an energy management strategy is developed that considers both operational economics and mobile charging scheduling requirements. Through detailed analysis of the PV-ES-MCS system architecture, comprehensive modeling of operational costs and revenues is conducted. By incorporating the energy replenishment demands of mobile charging scheduling and operational cost reduction, an energy management objective function with corresponding constraints is formulated and solved using the Grey Wolf Optimizer algorithm. Case study results demonstrate that the proposed strategy enables coordinated multi-element regulation within the PV-ES-MCS station, reducing operational costs by 6.7% while effectively ensuring the energy replenishment efficiency of mobile charging scheduling with 100% MCD battery swap success.
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SunView 深度解读

该研究高度契合阳光电源ST系列储能变流器(PCS)与PowerTitan液冷储能系统的光储充一体化应用场景。其能量管理策略可直接嵌入iSolarCloud智能运维平台,优化PCS充放电指令与移动充电车调度协同;建议在PowerStack集装箱式储能系统中集成该算法模块,支撑城市移动充电网络建设,并为户用及工商业光储充项目提供可复用的MPC+优化算法框架。