Research on optimal configuration of hybrid energy storage capacity of wind power system

doi:10.19799/j.cnki.2095-4239.2024.0928

Abstract

Abstract:

As the global energy crisis approaches, the development and utilization of new energy has become an important field for people to explore today. Solar energy, wind power, hydrogen energy, etc. have become the important representatives of the new energy development by their advantages of clean and pollution-free. Among them, wind power storage is an important part of the current power system, which can be connected to the grid system to provide important help to meet the power supply needs of people in a region, and has a very bright development prospect. However, the wind power generation is seriously affected by climate, and its power supply output has randomness and instability. Therefore, energy storage devices need to be configured in wind power system to realize the energy storage capacity optimization, so as to ensure the balance and stability of power supply in the grid. Based on the development status of wind power system, this paper analyzes its hybrid energy storage capacity optimization model, and proposes a collaborative optimal configuration scheme considering different conditions for hybrid energy storage capacity of wind power system, which can provide a reference for effectively improving the operation efficiency and quality of the grid with the wind power integration.

Key words: wind power, hybrid energy storage, distribution network risk, energy storage capacity optimization

CLC Number:

TK01

Xinyou WU. Research on optimal configuration of hybrid energy storage capacity of wind power system[J]. Energy Storage Science and Technology, 2024, 13(10): 3593-3595.

References 7

1	张科杰,张国彦,徐宝昌,等.计及高比例新能源配电网电压风险的储能容量优化配置方法[J].电瓷避雷器,2023(6):85-93.DOI: 10.16188/j.isa.1003-8337.2023.06.010.
	ZHANG K J, ZHANG G Y, XU B C, et al. Optimal allocation method for energy storage capacity considering voltage risks with high proportion of new energy distribution network[J]. Insulators and Surge Arresters, 2023(6): 85-93. DOI: 10.16188/j.isa.1003-8337.2023.06.010.
2	付尧,王志伟,巩晓伟,等.储能系统参与风电机组调频应用分析[J].东北电力技术,2023,44(11):23-26.DOI: 10.3969/j.issn.1004-7913.2023.11.005.
	FU Y, WANG Z W, GONG X W, et al. Analysis of energy storage system participating in wind turbine frequency modulation application[J]. Northeast Electric Power Technology, 2023, 44(11): 23-26. DOI: 10.3969/j.issn.1004-7913.2023.11.005.
3	梁帅,张新燕,胡建雄,等.用于提高电网中风电渗透率的混合储能容量优化分析[J].科学技术与工程,2022,22(28):12432-12439.DOI: 10.3969/j.issn.1671-1815.2022.28.025.
	LIANG S, ZHANG X Y, HU J X, et al. Optimization analysis of hybrid energy storage capacity for improving power grid stroke permeability[J]. Science Technology and Engineering, 2022, 22(28): 12432-12439. DOI: 10.3969/j.issn.1671-1815.2022.28.025.
4	章伟,谭伦农,阚红军.考虑运行经济成本的风电场储能容量优化[J].能源研究与信息,2017,33(4):200-204.DOI: 10.13259/j.cnki.eri.2017.04.003.
	ZHANG W, TAN L N, KAN H J. Optimization of energy storage capacity for wind farm considering the Run economic costs[J]. Energy Research and Information, 2017, 33(4): 200-204. DOI: 10.13259/j.cnki.eri.2017.04.003.
5	张永明.风电光伏并网储能容量优化配置方法[J].自动化应用,2023(21):72-74.
	ZHANG Y M. Optimization configuration method for wind power photovoltaic grid connected energy storage capacity[J]. Automation Application, 2023(21):72-74.
6	苏庆贺.考虑风功率波动和反调峰特性的混合储能容量优化研究[D].郑州: 郑州大学,2019.
7	谢鹏,蔡泽祥,刘平,等.考虑多时间尺度不确定性耦合影响的风光储微电网系统储能容量协同优化[J].中国电机工程学报,2019,39(24): 7126-7136,7486.DOI: 10.13334/j.0258-8013.pcsee.181193.
	XIE P, CAI Z X, LIU P, et al. Cooperative optimization of energy storage capacity for renewable and storage involved microgrids considering multi time scale uncertainty coupling influence[J]. Proceedings of the CSEE, 2019, 39(24): 7126-7136, 7486. DOI: 10.13334/j.0258-8013.pcsee.181193.

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