华北电力大学 经济与管理学院, 北京市 昌平区,102206
陈威君(1999),男,硕士研究生,研究方向为电力市场、能源经济等,E-mail:1121678602@qq.com
谢雨辛(1999),男,硕士研究生,研究方向为电力市场、能源经济等,E-mail:1265608288@qq.com
何永秀(1970),女,教授,研究方向为电力技术经济与管理、电力市场、能源经济、低碳经济等,E-mail:yongxiuhe@163.com
纸质出版:2026
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陈威君, 谢雨辛, 何永秀. 市场环境下电网侧储能电站的容量电价核定优化[J]. 现代电力, 2026,43(3):570-577.
CHEN Weijun, XIE Yuxin, HE Yongxiu. Optimization of Capacity Tariff Approval for Grid-side Energy Storage Stations in Market Environment[J]. 2026, 43(3): 570-577.
陈威君, 谢雨辛, 何永秀. 市场环境下电网侧储能电站的容量电价核定优化[J]. 现代电力, 2026,43(3):570-577. DOI: 10.19725/j.cnki.1007-2322.2024.0062.
CHEN Weijun, XIE Yuxin, HE Yongxiu. Optimization of Capacity Tariff Approval for Grid-side Energy Storage Stations in Market Environment[J]. 2026, 43(3): 570-577. DOI: 10.19725/j.cnki.1007-2322.2024.0062.
基于目前电网侧储能存在容量电价核定机制不适应电力市场的发展、收益类型笼统不清、电网回收投资成本难度大等问题,构建容量电价核定优化模型。该模型以传统电网侧储能电站的容量电价核定流程为基础,考虑到电网侧储能的成本疏导路径会随着电力市场的发展而增加,因此细化容量电价核算的收益类型,为增强电网侧储能的回收成本能力,对内部收益率进行动态调整,得到市场环境下电网侧储能电站的容量电价优化核定方案,测算出电网侧储能的不同情景下的容量电价水平,对回收电网侧投资、保障电力系统绿色转型良性发展非常关键。算例计算与敏感性分析结果表明,该优化核定模型可帮助电网侧储能的价格机制衔接电力市场的发展,在不同的市场阶段下都获得合理收益,面对市场环境的变化,优化模式相对传统模式具有更高的内部收益率与更短的投资回收期,证明该模式下电网侧储能具有更强的抗风险能力。
In response to the current challenges of the inadequate capacity tariff approval mechanism for energy storage on the grid side
vague and unclear revenue types
and difficulty in recovering investment costs
an optimization model for capacity tariff approval has been constructed. This model is grounded in the capacity tariff approval process of traditional grid-side energy storage stations
considering that the cost diversion path of grid-side energy storage is expected to expand as the electricity market evolves. Therefore
the profit types of capacity tariff calculation are refined. To enhance the cost recovery ability of grid-side energy storage
the internal rate of return is dynamically adjusted. Consequently
an optimized capacity tariff approval scheme is obtained for grid-side energy storage stations in the market environment. Calculating the capacity tariff levels in different scenarios of grid-side energy storage is of great significance for recovering the grid-side investment and ensuring the healthy development of green transformation in the power system. The calculation examples and sensitivity analysis results demonstrate that the optimized verification model can facilitate the integration of the price mechanism of grid-side energy storage with the development of the electricity market
obtaining reasonable returns across various market stages. In response to the development of the market environment
the optimized model exhibits a superior internal rate of return and a shorter investment payback period compared to the traditional model
which proves that grid-side energy storage has stronger risk resistance ability under this model.
WU Zhiquan, JIA Chunchao, CHEN Lei, et al . Research on innovative direction of energy storage in new power system construction[J ] . Acta Energiaesolaris Sinica, 2021, 42(10): 444−451(in Chinese).
GONG Yiping, WANG Chenhui, XIU Xiaoqing, et al . Review of research on large-scale energy storage technology and multifunctional applications[J ] . Distribution Utilization, 2023, 40(02): 68−77(in Chinese).
WANG Dongfeng, CHEN Jiangli, LI Jie, et al . Stability analysis of integrated energy system with wind power consumption[J ] . Electric Power Science and Engineering, 2022, 38(04): 9−16(in Chinese).
QUE Lingyan, JIANG Zhengwei, YANG Liqiang, et al . Cooperative control method based on improved genetic algorithm for source network load storage[J ] . Journal of Shenyang University of Technology, 2023, 45(06): 612−618(in Chinese).
LIU Guojing, LI Hu, LI Bingjie, et al . Ef fect analysis of a shared energy storage policy based on system dynamics[J ] . Energy Storage Science and Technology, 2022, 11(11): 3708−3719(in Chinese).
QIU Weiqiang, WANG Maochun, LIN Zhenzhi, et al .Comprehensive evaluation of shared energy storage towards new energy accommodation scenario under targets of carbon emission peak and carbon neutrality[J ] . Electric Power Automation Equipment, 2021, 41 (10): 244−255(in Chinese).
LIU Yajin, DAI Hang, LIU Zhijian, et al . Configuration and investment benefit analysis of decentralized shared energy storage for multiple types of industrial users[J ] . Electric PowerAutomation Equipment, 2021, 41(10): 256−264(in Chinese).
MA Huihai, SONG Jinpeng, KANG Jiayu. Capacity configuration of user-side photovoltaic energy storage system based on time-of-use electric price[J]. Science Technology and Engineering, 2023, 23(31): 13387−13393(in Chinese).
CHENG Yu, GUO Quanli. Bi-level optimal scheduling strategy of multi-agent integrated energy system with dynamic energy prices and shared energy storage power station[J]. Modern Electric Power, 2024, 41(01): 10−20(in Chinese).
LI Xiaoyu, WU Guolian, YUAN Xiu'e, et al . Research on economic evaluation of renewable energy gen eration side energy storage projects[J ] . Electric Power Science and Engineering, 2023, 39(08): 41−52(in Chinese).
KOU Lingfeng, ZHANG Ying, JI Yu, et al . Typical application scenario and operation mode analysis of distributed energy storage[J ] . Power System Protection and Control, 2020, 48(04): 177−187(in Chinese).
HE Yang, LU Yao, LI Zhiheng, et al . The business models of emerging market subjects participating in the electricity spot market[J ] . Modern Electric Power, 2023, 40(05): 760−769(in Chinese).
ZENG Ming, LIU Hang, CAO Yuwei, et al . Business model and development strategy of energy storage power station based on policy environment perspective[J ] . Price: Theory and Practice, 2020, 435(09): 127−131(in Chinese).
ZHANG Guoqiang, GUO Wenyi, YANG Ruilin, et al . Business model and policy analysis of centralized shared energy storage[J ] . Electric Age, 2022(06): 30−33(in Chinese).
DONG Ling, NIAN Heng, FAN Yue, et al . Exploration and practice of business model of shared energy storage in energy internet[J ] . Electric Power Construction, 2020, 41(04): 38−44(in Chinese).
WANG Yali, YE Ze, DAI Shuangfeng, et al . Integrated value measurement and economic evaluation of new battery energy storage based on ESG concept[J ] . The Theory and Practice of Finance and Economics, 2022, 43 (05): 108-115(in Chinese).
LI Jianlin, JIANG Yerong, ZHANG Lijun.Policy recommendations and business model exploration of electrochemical energy storage in Qinghai Province[J]. Energy Science and Technology, 2021, 19(05): 7−12(in Chinese).
KOU Huiwu, BAO Qinyong. Application environment and feasibility study of new energy storage power stations in Hunan[J]. China Electric Power, 2021(02): 93−95(in Chinese).
HUANGFU Fenyu, LI Xiaopeng, LI Yan, et al . A cost recovery mechanism of storage capacity in the context of the power spot market[J ] . Power System Protection and Control, 2023, 51(12): 37−46(in Chinese).
LI Feng, YAO Yun, ZHANG Huijuan, et al . Research onnew energy storage price mechanism and economic[J ] . Price: Theory and Practice, 2022(04): 66−70+204(in Chinese).
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