| 引用本文: | 冯建洲,胡泽春,崔畅,等.多时间尺度储能系统优化规划关键问题综述[J].电力系统保护与控制,2026,54(10):173-187. |
| FENG Jianzhou,HU Zechun,CUI Chang,et al.Review of key issues in optimal planning of multi-time scale energy storage systems[J].Power System Protection and Control,2026,54(10):173-187 |
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| 摘要: |
| 随着新能源在电力系统中占比的不断提升，储能作为保障系统安全性与灵活性的重要资源，其规划方法受到了广泛关注。多类型储能系统能够在多个时间尺度上为电力系统供需平衡提供支撑。基于此，首先聚焦于 3 个关键时间尺度的储能优化规划问题：在长时间尺度上，储能促进电力系统电力电量平衡；在中时间尺度上，储能用于应对极端天气的不确定性，提升系统韧性；在短时间尺度上，储能通过快速灵活的控制策略，保障电力系统安全稳定运行。随后，系统性地综述了近年来多类型储能系统在上述 3 个关键问题中的优化规划方法，总结了现有研究的典型建模思路与求解方法，并分析了其局限性。最后，进一步展望未来的研究方向，包括跨时间尺度与多功能一体化规划、多能源与灵活性资源的协同优化、极端天气时序特征的精细刻画、跟 / 构网型储能在暂态过程中的应用，以及市场机制下的成本收益分析。该研究旨在为新能源高占比电力系统背景下储能多时间尺度规划的后续研究与实际应用提供参考。 |
| 关键词: 储能系统 优化规划 多时间尺度 多重功能 极端天气 |
| DOI：10.19783/j.cnki.pspc.251172 |
| 分类号: |
| 基金项目:国家重点研发计划项目资助 (2022YFB2403000)；中国南方电网有限责任公司科技项目资助 (030500KK52220004 (GDKJXM20220146)) |
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| Review of key issues in optimal planning of multi-time scale energy storage systems |
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FENG Jianzhou1, HU Zechun1, CUI Chang2, WU Yinqiong2
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1. Department of Electrical Engineering, Tsinghua University, Beijing 100084, China; 2. Shantou Power Supply Bureau of Guangdong Power Grid Co., Ltd., Shantou 515041, China
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| Abstract: |
| With the increasing penetration of renewable energy in power systems, energy storage-serving as a critical resource for ensuring system security and flexibility-has attracted widespread attention in terms of its planning methods. Multi-type storage systems can support supply-demand balance across multiple time scales. In this context, this paper first focuses on three key time-scale related planning problems of energy storage: at the long-term scale, energy storage facilitates power and energy balance in the power system; at the medium-term scale, it is used to address uncertainties caused by extreme weather and enhance system resilience; and at the short-term scale, it ensures secure and stable system operation through fast and flexible control strategies. Subsequently, this paper systematically reviews recent optimization planning methods for multi-type energy storage systems in relation to these three key issues, summarizing typical modeling approaches and solution techniques, and analyzing their limitations. Finally, future research directions are highlighted, including cross multi-scale and multi-functional integrated planning, coordination optimization of multi-energy systems and flexibility resources, refined modeling of the temporal characteristics of extreme weather, applications of grid-forming and grid-following energy storage in transient stability, and cost-benefit analysis under market environments. This research aims to provide a reference for future research and practical applications of multi-time scale energy storage planning in power systems with high renewable energy penetration. |
| Key words: energy storage system optimal planning multi-time scales multi-functionality extreme weather |
