作为一种新型长时储能技术，全钒液流电池(vanadium redox flow battery，VRFB)适用于大规模调峰调频、新能源配套等场景，但存在功率与容量配比复杂、占地较大、能效较低的问题。立足于解决新能源发电弃风弃光限电问题，通过建立数学模型，优化目标函数，提出储能容量配置优化设计的理论方法；通过优化储能电站(energy storage station，ESS)拓扑设计，提高系统集成度和电力接入的可靠性；通过建立能量回收数学模型，提出能量回收型热管理设计提高系统效率的方法；通过建立多源数据融合数字孪生模型，提出基于数字孪生的VRFB储能运维技术的思路。最后，通过仿真分析，验证了优化设计的可行性，其削峰率达16%，限电量由原来的45%下降到14%，同时节省占地15%，效率从70%提升至90%左右，为面向新能源的大规模ESS的优化设计提供了系统的理论方法和可行的解决方案。

As one of new long-term energy storage technology, the vanadium redox flow battery (VRFB) is suitable for peak-shaving, frequency modulation and new energy support, etc. However, there are issues such as complex power to capacity ratio, larger occupied area, and lower energy efficiency. Based on solving the problem of abandoning of wind, solar, and power limit in new energy power generation, this paper forwards a theoretical method for the optimal design of energy storage capacity configuration by establishing a mathematical model and optimizing the objective function. By optimizing the topology design of energy storage station (ESS), system integration and reliability of power access are improved. By establishing an energy recovery mathematical model, a method for improving system efficiency through energy recovery based thermal management design is proposed. By establishing a multi-source data mix digital twinning model, the idea of VRFB energy storage operation and maintenance technology based on digital twinning is proposed. Finally, the simulation analysis verifies the feasibility of the optimized design. The peak shaving rate can be reached to 16%, and the power limit is reduced from 45% to 14%. Meanwhile, the occupied area can be saved by 15%, and the efficiency can be increased from 70% to about 90%. It provides a systematic theoretical method and feasible solution for the large-scale VRFB ESS optimization design for new energy.