APPLICATION PLANNING AND OPERATION STRATEGIES OF MULTIPLE ENERGY STORAGE IN DEEP SEA WIND POWER CLUSTERS

Li Zhenkun; Geng Lujun; Yang Xin&#x02019;gang; Zhang Yajun; Wei Shurong

doi:10.19912/j.0254-0096.tynxb.2024-1829

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (2) : 558-568. DOI: 10.19912/j.0254-0096.tynxb.2024-1829

APPLICATION PLANNING AND OPERATION STRATEGIES OF MULTIPLE ENERGY STORAGE IN DEEP SEA WIND POWER CLUSTERS

Li Zhenkun¹, Geng Lujun¹, Yang Xin’gang², Zhang Yajun², Wei Shurong¹

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Abstract

With the steady promotion of green and clean energy and the rapid development of deep-sea wind power technology, the application of multiple energy storage in deep-sea wind power clusters is expected to become a key technology to solve the problems of far offshore, high cost, difficult to send out as well as power fluctuations in stochastic and strong, etc. The application of multiple energy storage in deep-sea wind power clusters is expected to become a key technology to solve the problems. In order to solve this problem, this paper takes into account the coupling characteristics of electric-hydrogen multiple energy storage and the optimization of the capacity of the shared flexible direct transmission system, and proposes a planning and operation strategy for the electric-hydrogen multiple energy storage to relieve the capacity of the flexible direct transmission system in the deep-sea wind power cluster. Firstly, an energy management strategy for electric-hydrogen multiple storage is formulated based on the optimization of flexo-direct transmission system capacity and electric-hydrogen storage charging/discharging power constraints and storage state constraints; secondly, an optimization model of deep-sea wind cluster-multiple storage system configuration is established on the basis of this strategy with the objective of maximising the total system benefit of deep-sea wind clusters taking into account the multiple storage; and then, a data aggregation and optimization model is developed to solve the problem of large fluctuation of the output of offshore wind power. The data are clustered and analysed to obtain the typical wind power output scenarios and reduce the impact of extreme data. Finally, taking an offshore wind power cluster in the eastern part of China as an example, computational analysis is carried out through actual data to compare and analyse the configuration results as well as costs and benefits under five scenarios. The results of the calculation example show that the configuration scheme of multi-energy storage in the deep sea wind power clusters under the proposed strategy can effectively improve the economy of the system, alleviate the pressure of deep sea power delivery to a certain extent, and verify the feasibility of the strategy.

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deep sea offshore wind power clusters / shared flexible direct transmission systems / electric-hydrogen multiple energy storage / application planning and operation strategies

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Li Zhenkun, Geng Lujun, Yang Xin’gang, Zhang Yajun, Wei Shurong. APPLICATION PLANNING AND OPERATION STRATEGIES OF MULTIPLE ENERGY STORAGE IN DEEP SEA WIND POWER CLUSTERS[J]. Acta Energiae Solaris Sinica. 2026, 47(2): 558-568 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1829

References

[1] 李晖, 刘栋, 姚丹阳. 面向碳达峰碳中和目标的我国电力系统发展研判[J]. 中国电机工程学报, 2021, 41(18): 6245-6259.
LI H, LIU D, YAO D Y.Analysis and reflection on the development of power system towards the goal of carbon emission peak and carbon neutrality[J]. Proceedings of the CSEE, 2021, 41(18): 6245-6259.
[2] 张智刚, 康重庆. 碳中和目标下构建新型电力系统的挑战与展望[J]. 中国电机工程学报, 2022, 42(8): 2806-2819.
ZHANG Z G, KANG C Q.Challenges and prospects for constructing the new-type power system towards a carbon neutrality future[J]. Proceedings of the CSEE, 2022, 42(8): 2806-2819.
[3] 林恒先, 侯凯元, 陈磊, 等. 高比例风电电力系统考虑频率安全约束的机组组合[J]. 电网技术, 2021, 45(1): 1-13.
LIN H X, HOU K Y, CHEN L, et al.Unit commitment of power system with high proportion of wind power considering frequency safety constraints[J]. Power system technology, 2021, 45(1): 1-13.
[4] SUN Y S, ZHAO Z X, YANG M, et al.Overview of energy storage in renewable energy power fluctuation mitigation[J]. CSEE journal of power and energy systems, 2020, 6(1): 160-173.
[5] WANG Y L, SONG F H, MA Y Z, et al.Research on capacity planning and optimization of regional integrated energy system based on hybrid energy storage system[J]. Applied thermal engineering, 2020, 180: 115834.
[6] ZHANG Y, XU Y J, GUO H, et al.A hybrid energy storage system with optimized operating strategy for mitigating wind power fluctuations[J]. Renewable energy, 2018, 125: 121-132.
[7] 马伟, 王玮, 吴学智, 等. 平抑光伏并网功率波动的混合储能系统优化调度策略[J]. 电力系统自动化, 2019, 43(3): 58-66.
MA W, WANG W, WU X Z, et al.Optimal dispatching strategy of hybrid energy storage system for smoothing power fluctuation caused by grid-connected photovoltaic[J]. Automation of electric power systems, 2019, 43(3): 58-66.
[8] 李荦一, 韩莹, 李奇, 等. 计及效率特性的电-氢混合储能直流微网经济下垂控制策略[J]. 电力系统保护与控制, 2022, 50(7): 69-80.
LI L Y, HAN Y, LI Q, et al.Economic droop control strategy of a hybrid electric-hydrogen DC microgrid considering efficiency characteristics[J]. Power system protection and control, 2022, 50(7): 69-80.
[9] 赵宇洋, 赵钰欢, 郭英军, 等. 离网型风光氢储系统容量配置与控制优化[J]. 太阳能学报, 2024, 45(7): 50-59.
ZHAO Y Y, ZHAO Y H, GUO Y J, et al.Capacity configuration and control optimization of off-grid wind solar hydrogen storage system[J]. Acta energiae solaris sinica, 2024, 45(7): 50-59.
[10] 李佳蓉, 林今, 陈凯旋, 等. 考虑尾流效应的分布式海上风电制氢集群容量优化配置[J]. 电力系统自动化, 2023, 47(11): 9-17.
LI J R, LIN J, CHEN K X, et al.Optimal capacity configuration of distributed offshore wind power-to-hydrogen cluster considering wake effect[J]. Automation of electric power systems, 2023, 47(11): 9-17.
[11] 李梓丘, 乔颖, 鲁宗相. 海上风电-氢能系统运行模式分析及配置优化[J]. 电力系统自动化, 2022, 46(8): 104-112.
LI Z Q, QIAO Y, LU Z X.Operation mode analysis and configuration optimization of offshore wind-hydrogen system[J]. Automation of electric power systems, 2022, 46(8): 104-112.
[12] 夏杨红, 胡致远, 韦巍, 等. 可再生能源电解制氢宽范围运行控制策略[J]. 太阳能学报, 2024, 45(8): 34-43.
XIA Y H, HU Z Y, WEI W, et al.Wide range operation control strategy for electrolysis hydrogen production based on renewable energy[J]. Acta energiae solaris sinica, 2024, 45(8): 34-43.
[13] 胡鹏, 李志川, 李子航, 等. 深远海原位电解海水制氢的战略及技术研究[J]. 太阳能学报, 2024, 45(8): 63-70.
HU P, LI Z C, LI Z H, et al.Research on strategic and technical of hydrogen production by deep offshore in situ electrolysis of seawater[J]. Acta energiae solaris sinica, 2024, 45(8): 63-70.
[14] URSÚA A, BARRIOS E L, PASCUAL J, et al. Integration of commercial alkaline water electrolysers with renewable energies: limitations and improvements[J]. International journal of hydrogen energy, 2016, 41(30): 12852-12861.
[15] 洪烽, 贾欣怡, 梁璐, 等. 面向风电场频率支撑的混合储能层次化容量优化配置[J]. 中国电机工程学报, 2024, 44(14): 5596-5607.
HONG F, JIA X Y, LIANG L, et al.Hierarchical capacity optimization configuration of hybrid energy storage for wind farm frequency support[J]. Proceedings of the CSEE, 2024, 44(14): 5596-5607.
[16] LIU S Q, WANG X F, NING L H, et al.Integrating offshore wind power via fractional frequency transmission system[J]. IEEE transactions on power delivery, 2017, 32(3): 1253-1261.
[17] 袁铁江, 郭建华, 杨紫娟, 等. 平抑风电波动的电-氢混合储能容量优化配置[J]. 中国电机工程学报, 2024, 44(4): 1397-1406.
YUAN T J, GUO J H, YANG Z J, et al.Optimal allocation of power electric-hydrogen hybrid energy storage of stabilizing wind power fluctuation[J]. Proceedings of the CSEE, 2024, 44(4): 1397-1406.
[18] 孟静. 计及风电消纳的峰谷分时电价定价机制研究[D]. 吉林: 东北电力大学, 2019.
MENG J.The study of pricing mechanism of time-of-use power price taking into wind power accommodation[D]. Jilin: Northeast Dianli University, 2019.
[19] CHAPALOGLOU S, VARAGNOLO D, TEDESCHI E.Techno-economic evaluation of the sizing and operation of battery storage for isolated oil and gas platforms with high wind power penetration[C]//IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society. Lisbon, Portugal, 2019: 4587-4592.
[20] 唐巍, 郭雨桐, 闫姝, 等. 多场景海上风电场关键设备技术经济性分析[J]. 中国电力, 2021, 54(7): 178-184, 216.
TANG W, GUO Y T, YAN S, et al.Techno-economic analysis of key equipment for offshore wind farms with multiple scenarios[J]. Electric power, 2021, 54(7): 178-184, 216.
[21] International Renewable Energy Agency. Green hydrogen cost reduction: scaling up electrolysers to meet the 1.5℃ climate goal[R]. IRENA, 2020.
[22] LOISEL R, BARANGER L, CHEMOURI N, et al.Economic evaluation of hybrid off-shore wind power and hydrogen storage system[J]. International journal of hydrogen energy, 2015, 40(21): 6727-6739.
[23] GB/T 19963.2—2024, 风电场接入电力系统技术规定第2部分: 海上风电[S].
GB/T 19963.2—2024, Technical specification for connecting wind power plant to power system: part 2: offshore wind power[S].
[24] CHEN Y M, JIA P, MENG G J, et al.Optimal capacity configuration of hybrid energy storage system considering smoothing wind power fluctuations and economy[J]. IEEE access, 2022, 10: 101229-101236.