电力现货市场下储能系统经济效益研究

李梦露,德格吉日夫

分布式能源 ›› 2023, Vol. 8 ›› Issue (1) : 11-18.

PDF(1460 KB)
PDF(1460 KB)
分布式能源 ›› 2023, Vol. 8 ›› Issue (1) : 11-18. DOI: 10.16513/j.2096-2185.DE.2308102
学术研究

电力现货市场下储能系统经济效益研究

作者信息 +

Economic Benefits of Energy Storage System Under the Electricity Spot Market

Author information +
文章历史 +

摘要

储能在解决可再生能源发电不稳定性、间歇性问题上具有提高电网输配容量和控制电频波动的作用。合理的经济效益收益模式是储能发展的关键,为明确当前电力现货市场环境下储能系统的合理经济收益模式及主要影响因素,挖掘我国储能市场潜力,通过优劣势(strengths weakness opportunity threats, SWOT)分析模型分析其内外部环境。在此基础上,基于储能参与辅助服务市场和电力现货市场交易的特性分析,采用内部收益率(internal rate of return,IRR)模型,以江苏省某储能系统为例,研究在电力现货市场下储能系统经济效益量化的问题。以经济效益最大为目标构建模型并利用线性规划进行求解,在多个情景下验证电力现货市场下储能系统的经济效益。最后,从技术和经济2个不同角度,通过案例研究影响当前储能系统经济性的最主要因素,算例结果表明:基于技术角度,充放电循环次数是主要影响因素;基于政策定价角度,峰谷价差水平是主要影响因素。随着我国储能系统投资成本及技术水平的进步,在电力现货市场全面放开的背景下,储能系统将具有越来越强的经济效益。

Abstract

Energy storage can improve the transmission and distribution capacity of power grid and control the fluctuation of power frequency in solving the problems of instability and intermittence of renewable energy generation. Reasonable economic benefit model is the key to the development of energy storage. In order to clarify the reasonable economic benefit model and main influencing factors of energy storage system in the current electricity spot market environment and tap the potential of China's energy storage market, this paper analyzes its internal and external environment through strengths weakness opportunity threats (SWOT) analysis. On this basis, based on the analysis of the characteristics of energy storage participating in the auxiliary service market and the electricity spot market, the internal rate of return (IRR) model is adopted, and an energy storage system in Jiangsu province is taken as an example to study the quantification of the economic benefits of the energy storage system in the electricity spot market. The economic benefits of the energy storage system in the spot electricity market are verified in several scenarios by building a model with the goal of maximizing economic benefits and solving it by using linear programming. Finally, from two different angles of technology and economy, the most important factors of current energy storage system economy are found through case study. The calculation results show that, from the technical point of view, the number of charge and discharge cycles is the main influencing factor; Based on policy pricing, the peak-valley price difference level is the main influencing factor. With the progress of investment cost and technical level of energy storage system in China, energy storage system will have stronger and stronger economic benefits under the background of full liberalization of power spot market.

关键词

储能系统 / 优劣势(SWOT)分析 / 电力辅助服务 / 内部收益率(IRR) / 电力现货市场

Key words

energy storage system / strengths weakness opportunity threats (SWOT) analysis / power auxiliary service / internal rate of return (IRR) / electricity spot market

引用本文

导出引用
李梦露, 德格吉日夫. 电力现货市场下储能系统经济效益研究[J]. 分布式能源. 2023, 8(1): 11-18 https://doi.org/10.16513/j.2096-2185.DE.2308102
Menglu LI, Gejirifu DE. Economic Benefits of Energy Storage System Under the Electricity Spot Market[J]. Distributed Energy Resources. 2023, 8(1): 11-18 https://doi.org/10.16513/j.2096-2185.DE.2308102
中图分类号: TK01   

参考文献

[1]
北极星售电网. 全球绿色电力的发展新态势[R/OL]. (2022-12-19)[2022-12-19].
[2]
中关村储能产业技术联盟. 美国公用事业规模电池储能装机将在2025年达到30 GW[R/OL]. (2022-12-15)[2022-12-30].
[3]
国务院. 国务院关于印发2030年前碳达峰行动方案的通知[EB/OL]. (2021-10-26)[2022-12-24].
[4]
孙伟卿,裴亮,向威,等. 电力系统中储能的系统价值评估方法[J]. 电力系统自动化2019, 43(8): 47-55.
SUN Weiqing, PEI Liang, XIANG Wei, et al. System value evaluation method of energy storage in power system[J]. Automation of Electric Power Systems, 2019, 43 (8): 47-55.
[5]
刘大正,崔咏梅,赵飞. 新型储能商业化运行模式分析与发展建议[J]. 分布式能源2022, 7(5): 46-55.
LIU Dazheng, CUI Yongmei, ZHAO Fei. Analysis of new energy storage commercial operation mode and development suggestions[J]. Distributed Energy, 2022, 7(5): 46-55.
[6]
张程翔,丁宁,尹峰,等. 新型储能应用场景与商业模式综述[J]. 分布式能源2022, 7(1): 54-62.
ZHANG Chengxiang, DING Ning, YIN Feng, et al. Overview of new energy storage application scenarios and business models[J]. Distributed Energy, 2022, 7(1): 54-62.
[7]
熊雄,杨仁刚,叶林,等. 电力需求侧大规模储能系统经济性评估[J]. 电工技术学报2013, 28(9): 224-230.
XIONG Xiong, YANG Rengang, YE Lin, et al. Economic evaluation of large-scale energy storage system on power demand side[J]. Transaction of China Electrotechnical Society, 2013, 28 (9): 224-230.
[8]
张媛. 用户侧分布式储能的经济性分析[D]. 长沙:长沙理工大学,2014.
ZHANG Yuan. Economic analysis of distributed energy storage on user side[D]. Changsha: Changsha University of Science and Technology, 2014.
[9]
生态中国网. 《储能产业研究白皮书2022》发布:2021年中国新型储能新增投运2.4 GW/4.9 GWh[EB/OL]. (2022-05-05)[2022-05-30].
[10]
国家发展改革委. 国家发展改革委关于进一步深化燃煤发电上网电价市场化改革的通知[EB/OL]. (2021-10-11)[2022-10-21].
[11]
国家发展改革委. 国家发展改革委办公厅关于组织开展电网企业代理购电工作有关事项的通知[EB/OL]. (2021-10-23) [2022-11-23].
[12]
项目城网. 最大价差0. 612元/千瓦时,山东独立储能参与现货市场套利[EB/OL]. (2022-03-16)[2022-11-16].
[13]
国务院. 关于印发《电力市场运营基本规则(试行)》、《电力市场监管办法(试行)》、《电力市场技术支持系统功能规范(试行)》的通知[EB/OL]. (2003-07-24)[2022-10-24].
[14]
彭紫微. 电池储能电站经济效益优化对策研究:基于商业模式分析[J]. 西昌学院学报(自然科学版), 2021, 35(1): 39-44.
PENG Ziwei. Research on optimization countermeasures of economic benefits of battery energy storage power stations-based on business model analysis[J]. Journal of Xichang College (Natural Science Edition), 2021, 35 (1): 39-44.
[15]
刘畅,李德鑫,吕项羽,等. 储能电站商业运营模式探索及经济性分析[J]. 西昌学院学报(自然科学版), 2021, 35(1): 16-20.
LIU Chang, LI Dexin, LYU Xiangyu, et al. Exploration of commercial operation mode and economic analysis of power station [J]. Journal of Xichang College (Natural Science Edition), 2021, 35(1): 16-20.
[16]
张军,张伟,曹凌捷,等. 国内储能市场发展现状及趋势分析[J]. 电力与能源2020, 41(6): 739-743.
ZHANG Jun, ZHANG Wei, CAO Lingjie, et al. Analysis of the development status and trend of domestic energy storage market[J]. Electric Power and Energy. 2020, 41(6): 739-743.
[17]
彭清文,吴东琳,黄际元,等. 电网侧电池储能电站智能调度方法及商业模式[J]. 中国电力企业管理2020(22): 43-45.
PENG Qingwen, WU Donglin, HUANG Jiyuan, et al. Intelligent dispatching method and business model of side battery energy storage power station[J]. China Electric Power Enterprise Management, 2020(22): 43-45.
[18]
枣庄市能源局. 关于印发《枣庄市分布式光伏建设规范(试行》的通知[EB/OL]. (2021-11-26)[2022-10-21].
[19]
王世朋,陈曈,刘丽丽. 山东储能示范项目应用场景分析及盈利性评价[J]. 科技和产业2022, 22(11): 76-81.
WANG Shipeng, CHEN Tong, LIU Lili. Application scenario analysis and profitability evaluation of shandong energy storage demonstration project[J]. Science Technology and Industry, 2022, 22(11): 76-81.
[20]
陈勇,杨彪,李志斌,等. 分布式光伏储能系统投资收益分析模型的研究[J]. 中国新技术新产品2022(12): 139-141.
CHEN Yong, YANG Biao, LI Zhibin, et al. Research on the investment income analysis model of distributed photovoltaic energy storage system[J]. China New Technology and New Products, 2022(12): 139-141.
[21]
刘英军,郝木凯,李广凯,等. 风电储能项目经济效果评价研究:基于系统动力学的平准化成本模型及应用分析[J]. 价格理论与实践2021(11): 96-101.
LIU Yingjun, HAO Mukai, LI Guangkai, et al. Study on economic effect evaluation of wind energy storage project: The leveled cost model based on system dynamics and its application analysis[J]. Price Theory and Practice. 2021(11): 96-101.
[22]
潘福荣,张建赟,周子旺,等. 用户侧电池储能系统的成本效益及投资风险分析[J]. 浙江电力2019, 38(5): 43-49.
PAN Furong, ZHANG Jianyun, ZHOU Ziwang, et al. Cost-benefit and investment risk analysis of user-side battery energy storage system [J]. Zhejiang Electric Power, 2019, 38(5): 43-49.
[23]
李大祥,张新松. 用户侧电池储能系统运行策略优化与效益分析[J]. 智慧电力2021, 49(12): 31-36.
LI Daxiang, ZHANG Xinsong. Operation strategy optimization and benefits analysis of user side battery energy storage systems[J]. Smart Power, 2021, 49(12): 31-36.
[24]
时智勇,王彩霞,胡静. 独立新型储能电站价格形成机制及成本疏导优化方法[J]. 储能科学与技术. 2022, 11(12): 4067-4076.
SHI Zhiyong, WANG Caixia, HU Jing. Price formation mechanism and cost channel optimization method of independent new energy storage power station[J]. Energy Storage Science and Technology . 2022, 11(12): 4067-4076.
[25]
杨迎. 工商业产消者对分布式光储项目的投资决策研究[D]. 重庆:重庆工商大学,2022.
YANG Ying. Research on the investment decision of industrial and commercial producers and consumers on distributed optical storage projects[D]. Chongqing: Chongqing Technology and Business University, 2022.
[26]
袁红. 东北区域电储能调峰辅助服务经济性研究[J]. 中国电力企业管理2021(22): 47-50.
YUAN Hong. Study on the economy of auxiliary services for peak shaving of electric energy storage in Northeast China[J]. China Electric Power Enterprise Management, 2021(22): 47-50.
[27]
陆昊. 新型电力系统中储能配置优化及综合价值测度研究[D]. 北京:华北电力大学,2021.
LU Hao. Study on energy storage allocation optimization and comprehensive value measurement in new power system[D]. Beijing: North China Electric Power University, 2021.
[28]
赵会茹,陆昊,张士营,等. 计及外部性的储能系统价值测算及经济性评估[J]. 技术经济2020, 39(10): 19-26, 53.
ZHAO Huiru, LU Hao, ZHANG Shiying, et al. Value calculation and economic evaluation of energy storage system considering externality[J]. Techno-Economics, 2020, 39(10): 19-26, 53.
[29]
王元凯,周家华,潘郁,等. 电网侧储能电站综合评价[J]. 浙江电力2020, 39(5): 3-9.
WANG Yuankai, ZHOU Jiahua, PAN Yu, et al. Comprehensive evaluation of side energy storage power stations in power grid[J]. Zhejiang Electric Power, 2020, 39(5): 3-9.
[30]
陈晓光,杨秀媛,卜思齐,等. 考虑经济功能性的风电场储能系统容量配置[J]. 发电技术2022, 43(2): 341-352.
CHEN Xiaoguang, YANG Xiuyuan, BU Siqi, et al. Capacity allocation of wind farm energy storage system considering economic function[J]. Power Generation Technology, 2022, 43(2): 341-352.
[31]
中关村储能产业技术联盟. 10MW/100MWh压缩空气储能电站进入电力现货市场!独立储能电站盈利模式的演变[R/OL]. (2022-07-05)[2022-12-30].
[32]
北极星储能网. 山东储能调峰怎么算?红海竞争,赚钱不易[EB/OL]. (2021-05-10)[2022-10-10].

基金

国网江苏省电力有限公司科技支持项目(J2021106)

PDF(1460 KB)

Accesses

Citation

Detail

段落导航
相关文章

/