西北工业大学,陕西 西安 710000
成珂(1973—),男,博士,副教授,主要从事光伏发电与太阳能热利用方面的研究,E-mail:chengke@nwpu.edu.cn。
收稿:2026-03-30,
修回:2026-08-04,
纸质出版:2026-10-28
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成珂, 孙晴. 发电侧共享储能参与调频的协同优化与消纳提升[J]. 储能科学与技术, 2026, 15(10): 4193-4203.
CHENG Ke, SUN Qing. Synergistic optimization and renewable energy accommodation enhancement via generation-side shared energy storage in frequency regulation[J]. Energy Storage Science and Technology, 2026, 15(10): 4193-4203.
成珂, 孙晴. 发电侧共享储能参与调频的协同优化与消纳提升[J]. 储能科学与技术, 2026, 15(10): 4193-4203. DOI: 10.19799/j.cnki.2095-4239.2026.0259.
CHENG Ke, SUN Qing. Synergistic optimization and renewable energy accommodation enhancement via generation-side shared energy storage in frequency regulation[J]. Energy Storage Science and Technology, 2026, 15(10): 4193-4203. DOI: 10.19799/j.cnki.2095-4239.2026.0259.
随着以光伏发电、风力发电为代表的新能源在电网中的比例逐步升高,配置储能也逐步成为解决电网消纳能力不足、弃风弃光问题的主要措施。为了提高储能的利用率、提高经济效益,需要探索一种更高效的储能运营模式。本研究以西北某千万千瓦级新能源基地为对象,构建包含功率、容量与荷电状态约束的共享储能调度模型,并设计两种典型运行模式:容量租赁下的计划跟踪模式(模式一)与容量租赁与调频复合服务模式(模式二),模型以运营商净收益最大化为目标,将计划跟踪偏差作为惩罚项处理,允许储能在优化整体收益的前提下动态响应调频需求。通过参考西北地区典型新能源基地运行特征建立算例场景,并结合市场参数进行仿真分析,重点探讨两种模式下共享储能运行策略、功率分配方式以及容量租赁与调频服务协同运行机制的差异,并比较两种模式在经济收益方面的差异。研究表明,采用租赁+调频服务模式的储能系统能够提高储能利用水平和运营收益。模式二通过“租赁+调频”双重收益机制,在提高共享储能运行效率和运营经济性的同时,为促进新能源消纳提供支撑,为发电侧共享储能运行模式设计提供参考。
As the share of renewable energy sources in the power grid
such as photovoltaic and wind power
gradually increases
the implementation of energy storage has become essential for addressing the grid's limited integration capacity and the challenges of curtailed wind and solar energy. To improve the utilization rate of energy storage and enhance economic efficiency
exploring more effective operational models for energy storage is necessary. This study focuses on a 10-gigawatt renewable energy base in Northwest China
constructing a shared energy storage dispatch model that considers constraints on power
capacity
and state of charge. Two primary operating modes are designed: Mode 1
which involves plan-tracking operation under capacity leasing
and Mode 2
which combines capacity leasing with frequency regulation services. The model aims to maximize the operator's net revenue by treating planning deviations as penalties while allowing the energy storage system to respond dynamically to frequency regulation demands
all while optimizing overall revenue. A case study is conducted based on the operational characteristics of a typical renewable energy base in Northwest China and incorporates market parameters for simulation. The analysis compares the two operating modes from different perspectives
including shared energy storage operation
power allocation
coordinated provision of capacity leasing and frequency regulation services
and economic performance. The results indicate that energy storage systems utilizing the "leasing plus frequency regulation service" model can significantly enhance utilization levels and operational returns. By leveraging a dual revenue mechanism of leasing and frequency regulation
this model improves energy storage utilization rates and economic performance while providing operational support for renewable energy accommodation. This research serves as a reference for designing shared energy storage operational models on the generation side.
奥伦赛, 彭小辉, 孟维, 等. 国内外绿氢产业政策实践梳理与思考[J]. 质量与认证, 2025(11): 34-36. DOI:10.16691/j.cnki.10-1214/t.2025. 11.005.
AO L S, PENG X H, MENG W, et al. Review and reflections on the policy practices of the green hydrogen industry at home and abroad[J]. China Quality Certification, 2025(11): 34-36. DOI:10. 16691/j.cnki.10-1214/t.2025.11.005.
范英, 衣博文. 能源转型的规律、驱动机制与中国路径[J]. 管理世界, 2021, 37(8): 95-104. DOI:10.3969/j.issn.1002-5502.2021. 08.008.
FAN Y, YI B W. Evolution, driving mechanism, and pathway of China's energy transition[J]. Management World, 2021, 37(8): 95-104. DOI:10.3969/j.issn.1002-5502.2021.08.008.
LIU Q, LI Y L, JIANG H, et al. Short-term photovoltaic power forecasting based on multiple mode decomposition and parallel bidirectional long short term combined with convolutional neural networks[J]. Energy, 2024, 286: 129580. DOI:10.1016/j.energy. 2023.129580.
XU Z C, YUAN B, ZHANG F Q. Study on the optimization allocation of wind-solar in power system based on multi-region production simulation[J]. E3S Web of Conferences, 2018, 38: 04023. DOI:10.1051/e3sconf/20183804023.
李婧. "十五五" 时期新能源高质量发展的挑战与应对[J]. 新视野, 2025(5): 36-45. DOI:10.3969/j.issn.1006-0138.2025.05.004.
LI J. Challenges and responses of high-quality development of new energy in the 15th Five-Year Plan period[J]. Expanding Horizons, 2025(5): 36-45. DOI:10.3969/j.issn.1006-0138.2025. 05.004.
高斐, 王震, 蒲晓庆, 等. 新疆新能源发电侧储能发展存在的问题与对策分析[J]. 中小企业管理与科技, 2025(18): 108-110. DOI:10. 3969/j.issn.1673-1069.2025.18.036.
GAO F, WANG Z, PU X Q, et al. Problems and countermeasures of energy storage development in Xinjiang new energy generation side[J]. Management & Technology of SME, 2025(18): 108-110. DOI:10.3969/j.issn.1673-1069.2025.18.036.
林瑛, 王志伟. 西部地区新能源外送消纳模式发展路径探析[J]. 现代工业经济和信息化, 2024, 14(2): 181-182. DOI:10.16525/j.cnki.14-1362/n.2024.02.056.
LIN Y, WANG Z W. An analysis of the development path of new energy transmission and consumption mode in western region[J]. Modern Industrial Economy and Informationization, 2024, 14(2): 181-182. DOI:10.16525/j.cnki.14-1362/n.2024.02.056.
LIU D N, ZHAO N N, XU X F, et al. Market-oriented consumption model based on the joint tracking of renewable energy generation curve of "shared energy storage & demand side resources"[J]. IOP Conference Series: Earth and Environmental Science, 2020, 571(1): 012007. DOI:10.1088/1755-1315/571/1/012007.
BARBOUR E, PARRA D, AWWAD Z, et al. Community energy storage: A smart choice for the smart grid?[J]. Applied Energy, 2018, 212: 489-497. DOI:10.1016/j.apenergy.2017.12.056.
江岳文, 郑晨昕. 风电场群联合共享储能两阶段协同并网优化[J]. 电网技术, 2022, 46(9): 3426-3436. DOI:10.13335/j.1000-3673.pst. 2022.0217.
JIANG Y W, ZHENG C X. Two-stage operation optimization for grid-connected wind farm cluster with shared energy storage[J]. Power System Technology, 2022, 46(9): 3426-3436. DOI:10. 13335/j.1000-3673.pst.2022.0217.
潘倩华, 林健全, 孙伟卿. 考虑多主体电力负荷不确定性的工业园区共享储能配置与运行策略[J]. 软件, 2020, 41(7): 260-263, 296.
PAN Q H, LIN J Q, SUN W Q. Configuration and operation strategy of shared energy storage considering multi-body power load uncertainty in industrial parks[J]. Computer Engineering & Software, 2020, 41(7): 260-263, 296.
帅轩越, 王秀丽, 黄晶. 多区域综合能源系统互联下的共享储能容量优化配置[J]. 全球能源互联网, 2021, 4(4): 382-392. DOI:10.19705/j.cnki.issn2096-5125.2021.04.007.
SHUAI X Y, WANG X L, HUANG J. Optimal configuration of shared energy storage capacity under multiple regional integrated energy systems interconnection[J]. Journal of Global Energy Interconnection, 2021, 4(4): 382-392. DOI:10.19705/j.cnki.issn2096-5125.2021.04.007.
谢雨龙, 罗逸飏, 李智威, 等. 考虑微网新能源经济消纳的共享储能优化配置[J]. 高电压技术, 2022, 48(11): 4403-4412.
XIE Y L, LUO Y Y, LI Z W, et al. Optimal allocation of shared energy storage considering the economic consumption of microgrid new energy[J]. High Voltage Engineering, 2022, 48(11): 4403-4412.
赵会茹, 王学杰, 李兵抗, 等. 考虑能量共享的多社区光储系统分布鲁棒优化调度[J]. 电力系统自动化, 2022, 46(9): 21-31. DOI:10. 7500/AEPS20210721003.
ZHAO H R, WANG X J, LI B K, et al. Distributionally robust optimal dispatch for multi-community photovoltaic and energy storage system considering energy sharing[J]. Automation of Electric Power Systems, 2022, 46(9): 21-31. DOI:10.7500/AEPS20210721003.
李咸善, 方子健, 李飞, 等. 含多微电网租赁共享储能的配电网博弈优化调度[J]. 中国电机工程学报, 2022, 42(18): 6611-6624.
LI X S, FANG Z J, LI F, et al. Game-based optimal dispatching strategy for distribution network with multiple microgrids leasing shared energy storage[J]. Proceedings of the CSEE, 2022, 42(18): 6611-6624.
CHREIM B, ESSEGHIR M, MERGHEM-BOULAHIA L. Recent sizing, placement, and management techniques for individual and shared battery energy storage systems in residential areas: A review[J]. Energy Reports, 2024, 11: 250-260. DOI:10.1016/j.egyr.2023.11.053.
杨帆, 王维庆, 程静, 等. 基于误差分配原则的发电侧共享储能容量规划研究[J]. 电力系统保护与控制, 2022, 50(7): 91-102.
YANG F, WANG W Q, CHENG J, et al. Capacity planning of shared energy storage on the generation side based on the error distribution principle[J]. Power System Protection and Control, 2022, 50(7): 91-102.
王雨晴, 张敏, 王嘉兴, 等. 基于超模博弈的共享储能容量租赁价格决策[J]. 中国电力, 2025, 58(1): 164-173.
WANG Y Q, ZHANG M, WANG J X, et al. Rental price decision of shared energy storage capacity based on supermodular game[J]. Electric Power, 2025, 58(1): 164-173.
许小峰. 考虑平衡调节需求的共享储能服务模式及优化策略研究[D]. 北京: 华北电力大学, 2023.
舒敏. 电力2.0时代共享储能盈利模式分析[J]. 储能科学与技术, 2022, 11(11): 3720-3721.
SHU M. Analysis on profit model of shared energy storage in power 2.0 era[J]. Energy Storage Science and Technology, 2022, 11(11): 3720-3721.
白雪, 武昭原, 韩晓男, 等. 考虑多元盈利模式的新能源基地共享储能优化配置[J]. 现代电力, 2025, 42(3): 601-613, I0017.
BAI X, WU Z Y, HAN X N, et al. Optimal configuration of sharing energy storage in new energy bases considering diversified business models[J]. Modern Electric Power, 2025, 42(3): 601-613, I0017.
王韵楚, 张思, 林振智, 等. 分布式源荷参与辅助服务的市场机制与实现方法[J]. 电力系统自动化, 2023, 47(18): 2-16. DOI:10.7500/AEPS20230515001.
WANG Y C, ZHANG S, LIN Z Z, et al. Market mechanisms and implementation methods for distributed sources and loads participating in ancillary services[J]. Automation of Electric Power Systems, 2023, 47(18): 2-16. DOI:10.7500/AEPS20230515001.
闫东翔, 陈玥. 共享储能商业模式和定价机制研究综述[J]. 电力系统自动化, 2022, 46(23): 178-191. DOI:10.7500/AEPS20220219003.
YAN D X, CHEN Y. Review on business model and pricing mechanism for shared energy storage[J]. Automation of Electric Power Systems, 2022, 46(23): 178-191. DOI:10.7500/AEPS20220219003.
WANG Y, HUANG M Y, XU T Q, et al. Dynamic-depreciation-aware bi-level capacity optimization of shared energy storage for renewable energy bases considering multi-service operation[J]. Energies, 2026, 19(14): 3311. DOI:10.3390/en19143311.
汤洪海, 邢通, 李帆琪, 等. 考虑省间交易模式的新能源基地源-储协同外送优化及综合效益分配策略[J]. 新型电力系统, 2024, 2(3): 312-329. DOI:10.20121/j.2097-2784.ntps.240004.
TANG H H, XING T, LI F Q, et al. Optimal scheduling and comprehensive benefit allocation strategy of source-storage collaborative delivery of new energy bases, considering the inter-provincial transaction mode[J]. New Type Power Systems, 2024, 2(3): 312-329. DOI:10.20121/j.2097-2784.ntps.240004.
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