高寒高海拔地区微网储能锂电池系统优化设计

doi:10.11930/j.issn.1004-9649.202001028

中国电力 ›› 2020, Vol. 53 ›› Issue (5): 128-134.DOI: 10.11930/j.issn.1004-9649.202001028

高寒高海拔地区微网储能锂电池系统优化设计

赵斌^1,2, 呼如威², 蒋东方³, 董晓冬¹, 罗伟林⁴, 刘辉⁴

1. 西藏自治区能源研究示范中心，西藏拉萨 850000;
2. 华北理工大学，河北唐山 063210;
3. 国网能源研究院有限公司，北京 102209;
4. 上海动力储能电池系统工程技术有限公司，上海 201100

收稿日期:2020-01-06 修回日期:2020-02-16 发布日期:2020-05-05
作者简介:赵斌(1968-),男,博士,教授,博士生导师,从事新能源科学技术与应用研究,E-mail:zhaobin19680507@163.com;刘辉(1978-),男,通信作者,博士,高级工程师,从事储能电池系统设计和研发,E-mail:liuhui@spes.net.cn
基金资助:
西藏自治区重大科技专项资助项目(高寒高海拔地区耦合制氧技术的多能互补能源系统研发及示范，XZ201801-GA03)

Optimized Design of Lithium Battery System for Microgrid Energy Storage in Severely Cold and High Elevation Regions

ZHAO Bin^1,2, HU Ruwei², JIANG Dongfang³, DONG Xiaodong¹, LUO Weilin⁴, LIU Hui⁴

1. Energy Research and Demonstration Center of Tibet, Lasa 850000, China;
2. North China University of Science and Technology, Tangshan 063210, China;
3. State Grid Energy Research Institute Co., Ltd., Beijing 102209, China;
4. Shanghai Power & Energy Storage Battery System Engineering Technology Co., Ltd., Shanghai 201100, China

Received:2020-01-06 Revised:2020-02-16 Published:2020-05-05
Supported by:
This work is supported by Tibet's Major Science and Technology Project (Invention and Demonstration of a Multi-energy Complementary Energy System Coupled with Oxygen Production Technology in High and Cold Regions, No.XZ201801-GA03)

摘要/Abstract

摘要： 通过对高寒高海拔地区微电网储能选用的磷酸铁锂电池进行性能测试，分析了环境温度对电池充放电性能、循环寿命、系统容量及安全性能等重要参数的影响。结果表明：磷酸铁锂电池具有循环寿命长、对高倍率充放电耐受性强，具有耐用性与安全系数高等优点；环境温度对电池性能影响显著，低温下放电容量明显下降，高倍率充放电会缩短电池循环寿命。此外，结合高寒高海拔地区的气候特征对锂电池储能系统进行针对性的优化设计，并且在恶劣环境下对系统的可靠性进行了实验验证。研究结果可对磷酸铁锂电池在高寒高海拔地区的应用提供技术支撑。

关键词: 高寒高海拔, 磷酸铁锂电池, 性能测试, 优化设计

Abstract: Performance of lithium iron phosphate batteries was assessed, which were chosen for energy storage in the microgrid system in severely cold and high elevation regions. The influence of ambient temperature on those important parameters such as charge-discharge performance, cycle life, system capacity and safety performance was analyzed. The results showed that lithium iron phosphate batteries had long cycle life with excellent tolerability, especially at high charge-discharge rate. Meanwhile, such type of batteries also exhibited high durability and safety index. On the other hand, ambient temperatures had significant effect on the battery performance. For instance, the discharge capacity declined sharply at low temperature (-30 ℃), with only 89.89% relative capacity (compared to 25 ℃). Also the battery cycle life was shortened at high charge-discharge rate. Moreover, based on the climate conditions in the severely cold and high elevation regions, the lithium battery energy storage system was optimized respectively, and the reliability of system was experimentally verified in harsh environments. From the research results certain technical support can be provided for the application of lithium iron phosphate batteries in the severely cold and high elevation regions.

Key words: alpine and high elevation, lithium iron phosphate battery, performance testing, optimized design

赵斌, 呼如威, 蒋东方, 董晓冬, 罗伟林, 刘辉. 高寒高海拔地区微网储能锂电池系统优化设计[J]. 中国电力, 2020, 53(5): 128-134.

ZHAO Bin, HU Ruwei, JIANG Dongfang, DONG Xiaodong, LUO Weilin, LIU Hui. Optimized Design of Lithium Battery System for Microgrid Energy Storage in Severely Cold and High Elevation Regions[J]. Electric Power, 2020, 53(5): 128-134.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202001028

https://www.electricpower.com.cn/CN/Y2020/V53/I5/128

参考文献

[1] 李晶, 裴刚, 季杰. 太阳能有机朗肯循环低温热发电关键因素分析[J]. 化工学报, 2009, 60(4): 826–832
LI Jing, PEI Gang, JI Jie. Analysis of key factors in low temperature solar thermal electric power generation with organic Rankine cycle[J]. CIESC Journal, 2009, 60(4): 826–832
[2] AL-SULAIMAN F A, ATIF M. Performance comparison of different supercritical carbon dioxide Brayton cycles integrated with a solar power tower[J]. Energy, 2015, 82: 61–71.
[3] 朱美玲, 王熙, 朱云霞, 等. 离网光伏电站的优化设计及工程应用[J]. 机械与电子, 2016, 34(10): 65–68
ZHU Meiling, WANG Xi, ZHU Yunxia, et al. Optimization design and engineering application of independent photovoltaic station[J]. Machinery & Electronics, 2016, 34(10): 65–68
[4] 王继飞, 王永星, 杨宇静, 等. 光伏电站并入农配网对地区电网的影响[J]. 中国电力, 2018, 51(6): 150–154
WANG Jifei, WANG Yongxing, YANG Yujing, et al. Analysis the impact of photovoltaic power station's integration into rural distribution network[J]. Electric Power, 2018, 51(6): 150–154
[5] 裴哲义, 丁杰, 李晨, 等. 分布式光伏并网问题分析与建议[J]. 中国电力, 2018, 51(10): 80–87
PEI Zheyi, DING Jie, LI Chen, et al. Analysis and suggestion for distributed photovoltaic generation[J]. Electric Power, 2018, 51(10): 80–87
[6] 吕晨旭. 基于储能成本收益评估的小型光储系统实时经济运行方法[J]. 电力系统保护与控制, 2017, 45(17): 144–151
LÜ Chenxu. Real time economic scheduling method for photovoltaic/battery system based on the evaluation of energy storage charging cost and discharge yield[J]. Power System Protection and Control, 2017, 45(17): 144–151
[7] 汤旻安, 高晓红. 不平衡电网电压条件下光储微电网并网控制[J]. 高电压技术, 2019, 45(6): 1879–1888
TANG Min'an, GAO Xiaohong. Grid-connected control of microgrid with photovoltaic and energy storage systems under unbalanced grid voltage conditions[J]. High Voltage Engineering, 2019, 45(6): 1879–1888
[8] 黄晓东, 郝木凯, 陆志刚, 等. 微网系统中电池储能系统应用技术研究[J]. 可再生能源, 2012, 30(1): 38–41
HUANG Xiaodong, HAO Mukai, LU Zhigang, et al. Application of battery energy storage system in microgrid[J]. Renewable Energy Resources, 2012, 30(1): 38–41
[9] 贾雪艳, 槐创锋, 刘平安. 动力锂电池大电流放电性能测试分析[J]. 电源技术, 2012, 36(6): 784–786
JIA Xueyan, HUAI Chuangfeng, LIU Ping'an. Measurement and analysis of high-rate discharge performance for lithium battery[J]. Chinese Journal of Power Sources, 2012, 36(6): 784–786
[10] 杨秋霞, 刘大鹏, 王海臣, 等. 光伏并网发电与电能质量调节统一控制系统[J]. 电力系统保护与控制, 2015, 43(5): 69–74
YANG Qiuxia, LIU Dapeng, WANG Haichen, et al. A combined control approach for grid-connected photovoltaic and power quality regulatory systems[J]. Power System Protection and Control, 2015, 43(5): 69–74
[11] 田慧雯, 李咸善, 陈铁, 等. 基于混合储能的光伏微网孤网运行的综合控制策略[J]. 电力系统保护与控制, 2014, 42(19): 122–128
TIAN Huiwen, LI Xianshan, CHEN Tie, et al. Comprehensive control strategy of hybrid energy storage-based photovoltaic island microgrid[J]. Power System Protection and Control, 2014, 42(19): 122–128
[12] 尚平, 孙百虎, 郝卓莉, 等. 磷酸铁锂化学特性分析及在化学电池中的应用[J]. 电源技术, 2014, 38(9): 1619–1620
SHANG Ping, SUN Baihu, HAO Zhuoli, et al. Aanalysis on chemical properties of LiFePO₄ and its application in chemical batteries[J]. Chinese Journal of Power Sources, 2014, 38(9): 1619–1620
[13] 何宾宾, 李耀基, 艾常春, 等. 提高锂离子电池正极材料磷酸铁锂电导率的研究进展[J]. 稀有金属材料与工程, 2013, 42(增刊2): 410–413
HE Binbin, LI Yaoji, AI Changchun, et al. Research progress of improving the conductivity of LiFePO₄ cathode materials for lithium ion batteries[J]. Rare Metal Materials and Engineering, 2013, 42(S2): 410–413
[14] 张嵩, 丁广乾, 胡铁军, 等. 磷酸铁锂电池性能与应用研究[J]. 山东电力技术, 2012, 39(3): 65–68
ZHANG Song, DING Guangqian, HU Tiejun, et al. Study on performance and application of lithium iron phosphat battery[J]. Shandong Electric Power, 2012, 39(3): 65–68
[15] 王丙元, 张丹丹. 基于GSO-BP神经网络的磷酸铁锂电池SOC预测[J]. 中国民航大学学报, 2018, 36(5): 60–64
WANG Bingyuan, ZHANG Dandan. SOC prediction of LiFePO₄ cell based on GSO-BP neural network[J]. Journal of Civil Aviation University of China, 2018, 36(5): 60–64
[16] DENG Z W, YANG L, CAI Y S, et al. Online available capacity prediction and state of charge estimation based on advanced data-driven algorithms for lithium iron phosphate battery[J]. Energy, 2016, 112: 469–480.
[17] GAO D, JIANG D F, LIU P, et al. An integrated energy storage system based on hydrogen storage: process configuration and case studies with wind power[J]. Energy, 2014, 66: 332–341.
[18] GUTIÉRREZ-MARTÍN F, CONFENTE D, GUERRA I. Management of variable electricity loads in wind-hydrogen systems: the case of a Spanish wind farm[J]. International Journal of Hydrogen Energy, 2010, 35(14): 7329-7336.

高寒高海拔地区微网储能锂电池系统优化设计

Optimized Design of Lithium Battery System for Microgrid Energy Storage in Severely Cold and High Elevation Regions

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 11

编辑推荐

Metrics

[1]	汤锦慧, 伍发元, 支妍力, 毛梦婷, 代小敏. 基于深度强化学习的户内变电站通风降噪优化设计[J]. 中国电力, 2023, 56(1): 96-105,118.
[2]	方日升, 林耀东, 江伟, 黄霆, 徐振华, 吴丹岳, 陈志, 苏毅, 林济铿. 调速侧电力系统稳定器优化设计方法[J]. 中国电力, 2021, 54(9): 74-82.
[3]	雷嗣远, 李海浩, 李乐田, 倪贵东, 孔凡海, 吴国勋, 卞子君. SCR脱硝低负荷投运烟气调温旁路改造设计[J]. 中国电力, 2019, 52(9): 179-184.
[4]	李长旭, 史志杰, 刘宇. 锅炉与侧煤仓一体化设计关键技术研究及应用[J]. 中国电力, 2019, 52(12): 179-184.
[5]	王平, 贾立莉, 李守学, 李抗, 律方成. 110 kV全户内智能变电站接地网优化设计[J]. 中国电力, 2018, 51(3): 42-48.
[6]	黄茹, 马德彭, 莫华, 朱杰, 吴家玉, 徐海红. 基于CFB-FGD技术的烟气超低排放工程性能测试评估[J]. 中国电力, 2017, 50(3): 17-21.
[7]	王放放, 李敏, 许佩瑶. 某660 MW超超临界机组脱硝催化剂不均匀磨损治理[J]. 中国电力, 2016, 49(7): 162-167.
[8]	顾灶根, 李宁, 张何, 徐建松. 电力系统控制保护平台高速电路信号完整性研究[J]. 中国电力, 2016, 49(11): 36-41.
[9]	胡孟起, 肖俊峰, 种道彤, 李园园, 连小龙, 李兆瑜. 喷射式热泵在天然气冷热电三联供系统中的应用研究[J]. 中国电力, 2015, 48(12): 54-58.
[10]	李岸然. 电站海水淡化用蒸汽喷射器的优化设计与试验研究[J]. 中国电力, 2015, 48(11): 30-33.
[11]	李清华，吴静，邢海军，朱彬荣. 特高压钢管塔锻造法兰优化设计研究[J]. 中国电力, 2013, 46(6): 52-56.

模态框（Modal）标题

高寒高海拔地区微网储能锂电池系统优化设计

Optimized Design of Lithium Battery System for Microgrid Energy Storage in Severely Cold and High Elevation Regions

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 11

编辑推荐

Metrics