FAN Gaofeng, LI Jianing, DING Chen, et al. Bidding Strategy and Profit Analysis of Wind-storage System Participating in Energy and Frequency Modulation Ancillary Service Market[J]. Modern Electric Power. DOI: 10.19725/j.cnki.1007-2322.2023.0179
Citation: FAN Gaofeng, LI Jianing, DING Chen, et al. Bidding Strategy and Profit Analysis of Wind-storage System Participating in Energy and Frequency Modulation Ancillary Service Market[J]. Modern Electric Power. DOI: 10.19725/j.cnki.1007-2322.2023.0179

Bidding Strategy and Profit Analysis of Wind-storage System Participating in Energy and Frequency Modulation Ancillary Service Market

Funds: Science and Technology Project Supported by State Grid Corporation of China under Grant:Research on Optimization Configuration and Support Capability Evaluation Technology for Large Scale Energy Storage Connected to Power Systems (5419-202155242A-0-0-00).
More Information
  • Received Date: May 17, 2023
  • Accepted Date: December 21, 2023
  • Available Online: January 08, 2024
  • The utilization of energy storage as a high-quality frequency modulation resource can effectively address the power deviation in the system caused by the uncertainty of wind power output. Under the electricity market framework, the wind-storage system can yield profits in the energy market and frequency modulation auxiliary service market through joint bidding. The bidding strategy of the wind farms and energy storage power stations jointly participating in the market is investigated under uncertain scenarios in this paper. Firstly, the operation mechanism of wind-storage system participating in the energy and frequency modulation auxiliary service market is introduced, followed by proposing a coordinated bidding framework and analyzing the income. The Monte-Carlo method and scenario reduction techniques are employed to tackle the uncertain scenarios. On this basis, a joint bidding model is developed with the objective of maximizing the wind-storage system profit. Finally, case studies are conducted using operation data from a wind farm with energy storage, thereby validating the ability of our method in improving the economic benefits of both wind farms and energy storage stations.

  • [1]
    肖云鹏,王锡凡,王秀丽,等. 面向高比例可再生能源的电力市场研究综述[J]. 中国电机工程学报, 2018, 38(3): 663−674.

    Xiao Yunpeng, Wang Xifan, Wang Xiuli, et al. Review on electricity market towards high proportion of renewable energy[J]. Proceedings of the CSEE, 2018, 38(3): 663−674(in Chinese).
    [2]
    李军徽, 冯喜超, 严干贵, 等. 高风电渗透率下的电力系统调频研究综述[J]. 电力系统保护与控制, 2018, 46(2): 163−170. doi: 10.7667/PSPC170002

    LI Junhui, FENG Xichao, YAN Gangui, et al. Survey on frequency regulation technology in high wind penetration power system[J]. Power System Protection and Control, 2018, 46(2): 163−170(in Chinese). doi: 10.7667/PSPC170002
    [3]
    陈浩, 贾燕冰, 郑晋, 等. 规模化储能调频辅助服务市场机制及调度策略研究[J]. 电网技术, 2019, 43(10): 3606−3617.

    CHEN Hao, JIA Yanbing, ZHENG Jin, et al. Research on market mechanism and scheduling strategy of frequency regulation auxiliary service of large-scale energy storage[J]. Power System Technology, 2019, 43(10): 3606−3617(in Chinese).
    [4]
    张旭, 陈云龙, 岳帅, 等. 风电参与电力系统调频技术研究的回顾与展望[J]. 电网技术, 2018, 42(6): 1793−1803.

    ZHANG Xu, CHEN Yunlong, YUE Shuai, et al. Retrospect and prospect of research on frequency regulation technology of power system by wind power[J]. Power System Technology, 2018, 42(6): 1793−1803(in Chinese).
    [5]
    马智慧, 李欣然, 谭庄熙, 等. 考虑储能调频死区的一次调频控制方法[J]. 电工技术学报, 2019, 34(10): 2102−2115.

    MA Zhihui, LI Xinran, TAN Zhuangxi, et al. Integrated control of primary frequency regulation considering dead band of energy storage[J]. Transactions of China Electrotechnical Society, 2019, 34(10): 2102−2115(in Chinese).
    [6]
    李若, 李欣然, 谭庄熙, 等. 考虑储能电池参与二次调频的综合控制策略[J]. 电力系统自动化, 2018, 42(8): 74−82.

    LI Ruo, LI Xinran, TAN Zhuangxi, et al. Integrated control strategy considering energy storage battery participating in secondary frequency regulation[J]. Automation of Electric Power Systems, 2018, 42(8): 74−82(in Chinese).
    [7]
    孙冰莹, 杨水丽, 刘宗歧, 等. 国内外兆瓦级储能调频示范应用现状分析与启示[J]. 电力系统自动化, 2017, 41(11): 8-16.

    SUN Bingying, YANG Shuili, LIU Zongqi, et al. Analysis on present application of megawatt-scale energy storage in frequency regulation and its enlightenment[J]. Automation of Electric Power Systems, 2017, 41(11): 8-16(in Chinese).
    [8]
    李欣然, 黄际元, 陈远扬, 等. 大规模储能电源参与电网调频研究综述[J]. 电力系统保护与控制, 2016, 44(7): 145−153.

    LI Xinran, HUANG Jiyuan, CHEN Yuanyang, et al. Review on large-scale involvement of energy storage in power grid fast frequency regulation[J]. Power System Protection and Control, 2016, 44(7): 145−153(in Chinese).
    [9]
    张刘冬, 袁宇波, 孙大雁, 等. 基于两阶段鲁棒区间优化的风储联合运行调度模型[J]. 电力自动化设备, 2018, 38(12): 59−66.

    ZHANG Liudong, YUAN Yubo, SUN Dayan, et al. Joint operation model of wind-storage system based on two-stage robust interval optimization[J]. Electric Power Automation Equipment, 2018, 38(12): 59−66(in Chinese).
    [10]
    黄杨, 胡伟, 陈立. 基于两阶段优化的风储联合发电系统日前发电计划模式[J]. 电力系统自动化, 2015, 39(24): 8−15. doi: 10.7500/AEPS20150225006

    HUANG Yang, HU Wei, CHEN Li. Day-ahead generation scheduling plan modes for large-scale wind-storage combined power generation system based on two-stage optimization[J]. Automation of Electric Power Systems, 2015, 39(24): 8−15(in Chinese). doi: 10.7500/AEPS20150225006
    [11]
    虞临波, 寇鹏, 冯玉涛, 等. 风储联合发电系统参与频率响应的模型预测控制策略[J]. 电力系统自动化, 2019, 43(12): 36−43.

    YU Linbo, KOU Peng, FENG Yutao, et al. Model predictive control strategy for combined wind-storage system to participate in frequency response[J]. Automation of Electric Power Systems, 2019, 43(12): 36−43(in Chinese).
    [12]
    朱瑛, 秦立宽, 颜全椿, 等. 考虑频率响应过程的风储联合调频策略及储能系统优化配置方法[J]. 电力自动化设备, 2021, 41(10): 1−8.

    ZHU Ying, QIN Likuan, YAN Quanchun, et al. Wind-storage combined frequency regulation strategy and optimal configuration method of energy storage system considering process of frequency response[J]. Electric Power Automation Equipment, 2021, 41(10): 1−8(in Chinese).
    [13]
    胡泽春, 夏睿, 吴林林, 等. 考虑储能参与调频的风储联合运行优化策略[J]. 电网技术, 2016, 40(8): 2251−2257.

    HU Zechun, XIA Rui, WU Linlin, et al. Joint operation optimization of wind-storage union with energy storage participating frequency regulation[J]. Power System Technology, 2016, 40(8): 2251−2257(in Chinese).
    [14]
    李军徽, 侯涛, 穆钢, 等. 电力市场环境下考虑风电调度和调频极限的储能优化控制[J]. 电工技术学报, 2021, 36(9): 1791−1804.

    LI Junhui, HOU Tao, MU Gang, et al. Optimal control strategy for energy storage considering wind farm scheduling plan and modulation frequency limitation under electricity market environment[J]. Transactions of China Electrotechnical Society, 2021, 36(9): 1791−1804(in Chinese).
    [15]
    张鸿宇, 王宇. 国外电网侧储能电站参与调频辅助服务市场的机制经验及对我国的启示[J]. 储能科学与技术, 2021, 10(02): 766−773.

    ZHANG Hongyu, WANG Yu. Mechanism experience of foreign grid-side storage participating in frequency regulation auxiliary service market and its enlightenment to China[J]. Energy Storage Science and Technology, 2021, 10(02): 766−773(in Chinese).
    [16]
    国家发展改革委办公厅, 科技部办公厅, 工业和信息化部办公厅, 能源局综合司. 贯彻落实<关于促进储能技术与产业发展的指导意见>2019-2020年行动计划的通知(发改办能源〔2019〕725号)[Z]. 2019.
    [17]
    KAZEMI M, ZAREIPOUR H. Long-term scheduling of battery storage systems in energy and regulation markets considering battery’s lifespan[J]. IEEE Transactions on Smart Grid, 2018, 9(6): 6840−6849. doi: 10.1109/TSG.2017.2724919
    [18]
    ZHANG Z Y, ZHANG Y, HUANG Q, et al. Market-oriented optimal dispatching strategy for a wind farm with a multiple stage hybrid energy storage system[J]. CSEE Journal of Power and Energy Systems, 2018, 4(4): 417−424. doi: 10.17775/CSEEJPES.2018.00130
    [19]
    何翔路, 娄素华, 吴耀武, 等. 双结算模式下风储一体化电站两阶段市场投标调度策略[J]. 电力系统自动化, 2022, 46(4): 47−55.

    HE Xianglu, LOU Suhua, WU Yaowu, et al. Two-stage market bidding and scheduling strategy of integrated wind power and energy storage station in dual-settlement mode[J]. Automation of Electric Power Systems, 2022, 46(4): 47−55(in Chinese).
    [20]
    HE G, CHEN Q, KANG C, et al. Cooperation of wind power and battery storage to provide frequency regulation in power markets[J]. IEEE Transactions on Power Systems, 2017, 32(5): 3559−3568. doi: 10.1109/TPWRS.2016.2644642
    [21]
    张巍, 缪辉. 基于云储能租赁服务的风储参与能量-调频市场竞价策略研究[J]. 电网技术, 2021, 45(10): 3840−3852.

    ZHANG Wei, MIAO Hui. Bidding strategies of wind power and energy storage participating in energy and frequency regulation market based on cloud energy storage leasing services[J]. Power System Technology, 2021, 45(10): 3840−3852(in Chinese).
    [22]
    DING H, PINSON P, HU Z, et al. Integrated bidding and operating strategies for wind-storage systems[J]. IEEE Transactions on Sustainable Energy, 2016, 7(1): 163−172. doi: 10.1109/TSTE.2015.2472576
    [23]
    王浩浩, 陈嘉俊, 朱涛, 等. 计及储能寿命与调频性能的风储联合投标模型及算法[J]. 电网技术, 2021, 45(01): 208−217.

    WANG Haohao, CHEN Jiajun, ZHU Tao, et al. Joint bidding model and algorithm of wind-storage system considering energy storage life and frequency regulation performance[J]. Power System Technology, 2021, 45(01): 208−217(in Chinese).
    [24]
    HE G, CHEN Q, KANG C, et al. Optimal bidding strategy of battery storage in power markets considering performance-based regulation and battery cycle life[J]. IEEE Transactions on Smart Grid, 2016, 7(5): 2359−2367. doi: 10.1109/TSG.2015.2424314

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