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储能系统技术 ★ 5.0

提升模块化重力储能电站:一种优化机组容量配置的混合策略

Enhancing modular gravity energy storage plants: A hybrid strategy for optimal unit capacity configuration

作者 Wenxuan Tongab1 · Zhengang Lubc1 · Yanbo Chen · Guoliang Zhao · Julian David Hunt · Guizhi Xu
期刊 Applied Energy
出版日期 2025年1月
卷/期 第 378 卷
技术分类 储能系统技术
相关度评分 ★★★★★ 5.0 / 5.0
关键词 A novel capacity configuration strategy for Modular Gravity Energy Storage (M-GES) plants.
语言:

中文摘要

摘要 间歇性可再生能源的大规模并网给电网的灵活性和稳定性带来了重大挑战。重力储能为高容量、长时长且经济高效的能量存储提供了一种可行的解决方案。模块化重力储能(M-GES)是该技术的一个有前景的分支,然而,关于其机组容量配置的研究匮乏,制约了该技术的广泛应用。本文首次对M-GES电站电机系统的最优容量配置问题展开研究,该问题对于系统稳定运行和成本效益至关重要。我们提出了一种混合容量优化策略,结合了等容量配置(EC)和双倍率容量配置(DR)两种方法。基于MATLAB/Simulink平台,我们验证了该新策略下M-GES电站的功率特性,结果表明功率偏差保持在0.1%以内。值得注意的是,与传统的EC方法相比,混合配置可使电机系统的总成本降低50%至80%。本研究为推动M-GES技术的商业化提供了重要的理论依据和技术支持。

English Abstract

Abstract The large-scale integration of intermittent renewable energy sources poses significant challenges to grid flexibility and stability. Gravity energy storage offers a viable solution for high-capacity, long-duration, and economical energy storage. Modular gravity energy storage (M-GES) represents a promising branch of this technology; however, the lack of research on unit capacity configuration hinders its widespread adoption. This paper presents a pioneering investigation into the optimal capacity configuration of the motor system in M-GES power plants, which is crucial for stable operation and cost efficiency. We introduce a hybrid capacity optimization strategy that combines equal capacity configuration (EC) and double-rate capacity configuration (DR). Using the MATLAB/Simulink platform, we validate the power characteristics of the M-GES power plant under this new strategy, demonstrating that the power deviation remains within 0.1 %. Notably, the Hybrid configuration can reduce the total cost of the motor system by 50 % to 80 % compared to the traditional EC approach. This research provides significant insights to support the commercialization of M-GES technology.
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SunView 深度解读

该模块化重力储能容量配置优化研究对阳光电源ST系列储能变流器及PowerTitan系统具有重要借鉴意义。混合容量配置策略可降低50%-80%电机系统成本,这与我们PCS模块化设计理念高度契合。其功率偏差控制在0.1%以内的精度要求,可应用于我们三电平拓扑及GFM控制技术优化,提升储能系统在高比例新能源并网场景下的灵活性与经济性,为大规模长时储能解决方案提供成本优化新思路。