分散式风-氢用户群集成区域共享储能容量优化配置

任永峰, 孟庆天, 祝荣, 薛宇, 贺彬, 张艳锋

太阳能学报 ›› 2024, Vol. 45 ›› Issue (5) : 306-315.

PDF(1930 KB)
欢迎访问《太阳能学报》官方网站,今天是
PDF(1930 KB)
太阳能学报 ›› 2024, Vol. 45 ›› Issue (5) : 306-315. DOI: 10.19912/j.0254-0096.tynxb.2023-0108

分散式风-氢用户群集成区域共享储能容量优化配置

  • 任永峰1, 孟庆天1, 祝荣2, 薛宇3, 贺彬1, 张艳锋4
作者信息 +

OPTIMAL CAPACITY ALLOCATION OF REGIONAL SHARED ENERGY STORAGE SYSTEM INTEGRATING DISTRIBUTED WIND-HYDROGEN USER GROUPS

  • Ren Yongfeng1, Meng Qingtian1, Zhu Rong2, Xue Yu3, He Bin1, Zhang Yanfeng4
Author information +
文章历史 +

摘要

针对分散式风力发电多用户群的风-氢-热耦合系统,引入区域共享储能协调方案。以区域共享储能日运行收益最高为上层目标,以分散式风电用户群日运行成本最低为下层目标,建立双层规划模型。上层通过区域共享储能容量优化配置,减少储能投建成本,提升储能的利用率;下层通过分散式风电与电负荷、热负荷、制氢储能的多元互动及区域共享储能服务,优化风-氢耦合系统运行的可靠性、经济性与灵活性。在Matlab软件环境下对内蒙古某分散式多用户群风-氢-热-储系统进行仿真建模与算法高效求解,研究结果表明,在分散式风电用户群间引入区域共享储能可有效降低储能的初始投资,提高系统整体经济性。

Abstract

Regional shared energy storage scheme introduced into a wind-hydrogen-heat coupled system for distributed wind power multi-user groups, which is a two-tier planning model in which the upper tier objective is the highest daily operational benefit from the regional shared energy storage, and the lower tier objective is the lowest daily operational cost for the distributed wind power user group. Among them, the upper layer model achieves the effect of reducing the cost of energy storage investment and increasing the utilization rate of energy storage through the optimal allocation of regional shared energy storage capacity; and the lower level model is designed to optimize the reliability, economy and flexibility of the operation of the wind-hydrogen coupling system through the multiple interactions of distributed wind power with electrical loads, thermal loads, hydrogen storage and regional shared storage services. Modeling and calculation with data from a distributed multi-user cluster wind-hydrogen-heat-storage system in Inner Mongolia. The results show that regional shared energy storage can effectively reduce the initial investment of energy storage and improve the overall economy of the system when it is introduced to the distributed wind power user group.

关键词

储能 / 分散式风电 / 制氢 / 风-氢耦合 / 容量配置

Key words

energy storage / distributed wind / hydrogen production / wind-hydrogen coupling / capacity allocation

引用本文

导出引用
任永峰, 孟庆天, 祝荣, 薛宇, 贺彬, 张艳锋. 分散式风-氢用户群集成区域共享储能容量优化配置[J]. 太阳能学报. 2024, 45(5): 306-315 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0108
Ren Yongfeng, Meng Qingtian, Zhu Rong, Xue Yu, He Bin, Zhang Yanfeng. OPTIMAL CAPACITY ALLOCATION OF REGIONAL SHARED ENERGY STORAGE SYSTEM INTEGRATING DISTRIBUTED WIND-HYDROGEN USER GROUPS[J]. Acta Energiae Solaris Sinica. 2024, 45(5): 306-315 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0108
中图分类号: TM912   

参考文献

[1] 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.
[2] 平悦, 单永娟, 李诚. 碳中和目标下风电消纳量的影响因素分析[J]. 太阳能学报, 2022, 43(11): 235-241.
PING Y, SHAN Y J, LI C.Analysis of influencing factors of wind power utilization under carbon neutral target[J]. Acta energiae solaris sinica, 2022, 43(11): 235-241.
[3] DAI R, ESMAEILBEIGI R, CHARKHGARD H.The utilization of shared energy storage in energy systems: a comprehensive review[J]. IEEE transactions on smart grid, 2021, 12(4): 3163-3174.
[4] 朱志莹, 郭杰, 于国强, 等. 风光接入下储能系统双层优化模型[J]. 太阳能学报, 2022, 43(10): 443-451.
ZHU Z Y, GUO J, YU G Q, et al.Bi-layer optimization model for energy storage systems under wind and PV access[J]. Acta energiae solaris sinica, 2022, 43(10): 443-451.
[5] 吴智泉, 贾纯超, 陈磊, 等. 新型电力系统中储能创新方向研究[J]. 太阳能学报, 2021, 42(10): 444-451.
WU Z Q, JIA C C, CHEN L, et al.Research on innovative direction of energy storage in new power system construction[J]. Acta energiae solaris sinica, 2021, 42(10): 444-451.
[6] ZHAO D W, WANG H, HUANG J W, et al.Virtual energy storage sharing and capacity allocation[J]. IEEE transactions on smart grid, 2020, 11(2): 1112-1123.
[7] 李建林, 崔宜琳, 马速良, 等. 需求侧共享储能的运营模式优化及其经济效益分析研究[J]. 电网技术, 2022, 46(12): 4954-4969.
LI J L, CUI Y L, MA S L, et al.Operation mode optimization and economic benefit analysis of demand-side shared energy storage[J]. Power system technology, 2022, 46(12): 4954-4969.
[8] JO J, PARK J.Demand-side management with shared energy storage system in smart grid[J]. IEEE transactions on smart grid, 2020, 11(5): 4466-4476.
[9] MEDIWATHTHE C P, SHAW M, HALGAMUGE S, et al.An incentive-compatible energy trading framework for neighborhood area networks with shared energy storage[J]. IEEE transactions on sustainable energy, 2020, 11(1): 467-476.
[10] 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.
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.
[11] 国家能源局. 关于加快推动新型储能发展的指导意见[EB/OL].[2021-07-15]. http://zfxxgk.nea.gov.cn/2021-07/15/c_1310079331.htm.
National Energy Administration. Guiding opinions on accelerating the development of new energy storage[EB/OL].[2021-07-15]. http://zfxxgk.nea.gov.cn/2021-07/15/c_1310079331.htm.
[12] 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): 4403-4413.
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): 4403-4413.
[13] MA M T, HUANG H J, SONG X L, et al.Optimal sizing and operations of shared energy storage systems in distribution networks: a bi-level programming approach[J]. Applied energy, 2022, 307: 118170.
[14] 李笑竹, 陈来军, 杜锡力, 等. 考虑退役动力电池衰减特性的新能源场站群共享储能长期规划配置[J]. 太阳能学报, 2022, 43(5): 499-509.
LI X Z, CHEN L J, DU X L, et al.Study on long-term planning of shared energy storage at power generation considering attenuation characteristics of retired power batteries[J]. Acta energiae solaris sinica, 2022, 43(5): 499-509.
[15] 杜锡力, 李笑竹, 陈来军, 等. 面向多场景调节需求的集中式共享储能鲁棒优化配置[J]. 电工技术学报, 2022, 37(23): 5911-5921.
DU X L, LI X Z, CHEN L J, et al.Robust and optimized configuration of centralized shared energy storage for multi-scenario regulation demand[J]. Transactions of China Electrotechnical Society, 2022, 37(23): 5911-5921.
[16] SUN L L, QIU J, HAN X, et al.Capacity and energy sharing platform with hybrid energy storage system: an example of hospitality industry[J]. Applied energy, 2020, 280: 115897.
[17] 朱宗耀, 王秀丽, 吴雄, 等. 考虑多场景规划的共享储能投资及运营分析[J]. 电力系统自动化, 2023, 47(7): 23-31.
ZHU Z Y, WANG X L, WU X, et al.Investment and operation analysis of shared energy storage considering multi-scenario planning[J]. Automation of electric power systems, 2023, 47(7): 23-31
[18] WANG Q, ZHANG X G, YI C Z, et al.A novel shared energy storage planning method considering the correlation of renewable uncertainties on the supply side[J]. IEEE transactions on sustainable energy, 2022, 13(4): 2051-2063.
[19] 汪露露, 吴红斌, 周亦尧. 基于供能可靠性的综合能源系统优化配置[J]. 太阳能学报, 2021, 42(12): 395-400.
WANG L L, WU H B, ZHOU Y Y.Optimal configuration of integrated energy system based on energy supply reliability[J]. Acta energiae solaris sinica, 2021, 42(12): 395-400.
[20] 戴赛, 李宇轩, 孙志祥, 等. 分布式储能线上共享优化匹配交易模式[J]. 高电压技术, 2022, 48(7): 2515-2522.
DAI S, LI Y X, SUN Z X, et al.Online sharing optimization matching transaction mode for distributed energy storage[J]. High voltage engineering, 2022, 48(7): 2515-2522.
[21] 武昭原, 周明, 王剑晓, 等. 基于组合拍卖的城市能源系统共享储能运行方法[J]. 电力系统自动化, 2022, 46(17): 83-90.
WU Z Y, ZHOU M, WANG J X, et al.Operation method of shared energy storage for urban power energy based on combinatorial auction[J]. Automation of electric power systems, 2022, 46(17): 83-90.
[22] 李咸善, 解仕杰, 方子健, 等. 多微电网共享储能的优化配置及其成本分摊[J]. 电力自动化设备, 2021, 41(10): 44-51.
LI X S, XIE S J, FANG Z J, et al.Optimal configuration of shared energy storage for multi-microgrid and its cost allocation[J]. Electric power automation equipment, 2021, 41(10): 44-51.
[23] 吴盛军, 李群, 刘建坤, 等. 基于储能电站服务的冷热电多微网系统双层优化配置[J]. 电网技术, 2021, 45(10): 3822-3832.
WU S J, LI Q, LIU J K, et al.Bi-level optimal configuration for combined cooling heating and power multi-microgrids based on energy storage station service[J]. Power system technology, 2021, 45(10): 3822-3832.

基金

国家自然科学基金(52367022; 51967016); 内蒙古自治区重点研发和成果转化项目(2023YFHH0077; 2023YFHH0097)

PDF(1930 KB)

Accesses

Citation

Detail

段落导航
相关文章

/