宁夏电网电化学储能需求分析

耿天翔, 李峰, 马天东, 梁忠豪, 李雅欣, 李建林

分布式能源 ›› 2021, Vol. 6 ›› Issue (4) : 63-69.

PDF(1335 KB)
PDF(1335 KB)
分布式能源 ›› 2021, Vol. 6 ›› Issue (4) : 63-69. DOI: 10.16513/j.2096-2185.DE.2106539
“氢能与可再生能源系统集成控制技术”专题

宁夏电网电化学储能需求分析

作者信息 +

Analysis of Electrochemical Energy Storage Demand in Ningxia Power Grid

Author information +
文章历史 +

摘要

2020年9月,习近平总书记在第七十五届联合国大会上表示:我国CO2排放力争2030年前达到峰值,2060年前实现“碳中和”。“双碳”目标确定后,宁夏回族自治区积极响应国家政策,大力推动清洁能源的利用。但随着清洁能源大规模并网,宁夏电网面临新能源消化难、电能质量差等诸多问题,而储能技术的推广应用,为解决以上问题指明了新的方向。文章首先介绍了国内外储能发展现状,阐述了目前宁夏电网各能源装机容量,分析了宁夏电网存在的问题,然后基于宁夏电网的现状确定了其对电化学储能的必然需求,最后论述了电化学储能容量配置方法,给宁夏电网中储能容量配置提供参考。

Abstract

In September 2020, General Secretary Xi Jinping stated at the 75th United Nations General Assembly: China's CO2 emissions will strive to reach their peak by 2030 and achieve carbon neutrality by 2060.After the targets of carbon peak and carbon neutrality was determined, Ningxia Hui Autonomous Region actively responded to national policies and vigorously promoted the use of clean energy. However, with the large-scale integration of clean energy into the grid, Ningxia power grid is facing many problems such as difficulty in digestion of new energy and poor power quality. The popularization and application of energy storage technology has brought new directions to the solution of the above problems. The paper first introduced the current status of energy storage development at home and abroad, expounded the current installed capacity of energy in Ningxia power grid, analyzed the problems of Ningxia power grid, and then based on the current situation of Ningxia power grid, the inevitable demand for electrochemical energy storage was determined. Finally, the configuration method of electrochemical energy storage capacity was discussed, which provides a reference for the configuration of energy storage capacity in Ningxia power grid.

关键词

电化学储能 / 储能选型 / 储能容量配置

Key words

electrochemical energy storage / energy storage selection / energy storage capacity configuration

引用本文

导出引用
耿天翔, 李峰, 马天东, . 宁夏电网电化学储能需求分析[J]. 分布式能源. 2021, 6(4): 63-69 https://doi.org/10.16513/j.2096-2185.DE.2106539
Tianxiang GENG, Feng LI, Tiandong MA, et al. Analysis of Electrochemical Energy Storage Demand in Ningxia Power Grid[J]. Distributed Energy Resources. 2021, 6(4): 63-69 https://doi.org/10.16513/j.2096-2185.DE.2106539
中图分类号: TK02   

参考文献

[1]
国家发展改革委、国家能源局. 《国家发展改革委 国家能源局关于加快推动新型储能发展的指导意见(征求意见稿)》[EB/OL]. (2021-4-21)[2021-06-30].
[2]
宁夏回族自治区发展改革委. 《关于加快促进自治区储能健康有序发展的通知(征求意见稿)》[EB/OL]. (2021-5-8)[2021-06-30].
[3]
国家能源局综合司. 《国家能源局综合司关于报送整县(市、区)屋顶分布式光伏开发试点方案的通知》[EB/OL]. (2021-6-20)[2021-06-30].
[4]
宁夏回族自治区发展改革委. 《关于报送整县(市、区)屋顶分布式光伏开发试点方案的通知》[EB/OL]. (2021-6-29)[2021-06-30].
[5]
张建君. 大型风电场群出力特性研究[D]. 内蒙古:内蒙古科技大学,2019.
ZHANG Jianjun. Study on output characteristics of large scale wind farms[D]. Inner Mongolia: Inner Mongolia University of Science and Technology, 2019.
[6]
崔杨,穆钢,刘玉,等. 风电功率波动的时空分布特性[J]. 电网技术2011, 35(2): 110-114.
CUI Yang, MU Gang, LIU Yu. et al. Temporal and spatial distribution characteristics of wind power fluctuation[J]. Power Grid Technology, 2011, 35(2): 110-114.
[7]
肖创英,汪宁渤,陟晶,等. 甘肃酒泉风电出力特性分析[J]. 电力系统自动化2010, 34(17): 64-67.
XIAO Chuangying, WAGN Ningbo, ZHI Jing, et al. Analysis of wind power output characteristics in Jiuquan, Gansu Province[J]. Power System Automation, 2010, 34(17): 64-67.
[8]
侯佑华,房大中,齐军,等. 大规模风电入网的有功功率波动特性分析及发电计划仿真[J]. 电网技术2010, 34(5): 60-66.
HOU Youhua, FANG Dazhong, QI Jun, et al. Analysis of active power fluctuation characteristics and generation planning simulation of large scale wind power entering the grid[J]. Power Grid Technology, 2010, 34(5): 60-66.
[9]
蔡国伟,西禹霏,王艺博,等. 黑龙江地区风速与风电出力的特征分析与概率分布最优建模[J]. 太阳能学报2019, 40(11): 3250-3257.
CAI Guowei, XI Yufei, WANG Yibo, et al. Feature analysis and optimal modeling of probability distributions of wind speed and wind power output in the Heilongjiang region[J]. Acta Energiae Solaris Sinica, 2019, 40(11): 3250-3257.
[10]
李京京,庄幸. 我国新能源和可再生能源政策及未来发展趋势分析[J]. 中国能源2001(4): 2-6.
LI Jingjing, ZHUANG Xing. China's new energy and renewable energy policy and future development trend analysis[J]. China Energy, 2001(4): 2-6.
[11]
吕志盛,闫立伟,罗艾青,等. 新能源发电并网对电网电能质量的影响研究[J]. 华东电力2012, 40(2): 251-256.
LV Zhisheng, YAN Liwei, LUO Aiqing, et al. Research on the impact of new energy generation on power quality of power grid[J]. East China Electric Power, 2012, 40(2): 251-256.
[12]
李建林,田立亭,来小康. 能源互联网背景下的电力储能技术展望[J]. 电力系统自动化2015, 39(23): 15-25.
LI Jianlin, TIAN Liting, LAI Xiaokang. Prospect of electric energy storage technology under the background of energy Internet[J]. Power System Automation, 2015, 39(23): 15-25.
[13]
国家发展改革委,国家能源局. 《国家发展改革委 国家能源局关于开展“风光水火储一体化”“源网荷储一体化”的指导意见(征求意见稿)》[EB/OL]. (2020-8-27)[2021-06-30].
[14]
来小康,王松岑. 能源互联网背景下的储能技术及产业发展[J]. 高科技与产业化2016(4): 28-31.
LAI Xiaokang, WAGN Songcen. Energy storage technology and industrial development under the background of energy Internet[J]. High-Technology & Industrialization, 2016(4): 28-31.
[15]
王佳丽. 新能源配储能“由暗到明”[J]. 能源2020(7): 15-18.
WANG Jiali. New energy distribution and storage “from dark to bright”[J]. Energy, 2020(7): 15-18.
[16]
李清然,张建成. 含储能分布式光伏系统并网点电压调整方案设计[J]. 现代电力2016, 33(2): 33-38.
LI Qingran, ZHANG Jiancheng. Design of voltage regulation scheme for parallel node of distributed photovoltaic system with energy storage[J]. Modern Electric Power, 2016, 33(2): 33-38.
[17]
慈松,李宏佳,陈鑫,等. 能源互联网重要基础支撑:分布式储能技术的探索与实践[J]. 中国科学:信息科学2014, 44(6): 762-773.
CI Song, LI Hongjia, CHEN Xin. Important basic support of energy Internet: Exploration and practice of distributed energy storage technology[J]. Chinese Science: Information Science, 2014, 44(6): 762-773.
[18]
熊雄,叶林,杨仁刚. 电力需求侧规模储能容量优化和经济性分析[J]. 电力系统自动化2015, 39(17): 42-48.
XIONG Xiong, YE Lin, YANG Rengang. Capacity optimization and economic analysis of large scale energy storage on power demand side[J]. Power System Automation, 2015, 39(17): 42-48.
[19]
杨锡运,张璜,修晓青,等. 基于商业园区源/储/荷协同运行的储能系统多目标优化配置[J]. 电网技术2017, 41(12): 3996-4003.
YANG Xiyun, ZHANG Huang, XIU Xiaoqing, et al. Multi objective optimal configuration of energy storage system based on collaborative operation of source/storage/load in business park[J]. Power Grid Technology, 2017, 41(12): 3996-4003.
[20]
NAYAK C K, NAYAK M R. Optimal design of battery energy storage system for peak load shaving and time of use pricing[C]//2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT). Coimbatore, India, 2017.
[21]
严干贵,冯晓东,李军徽,等. 用于松弛调峰瓶颈的储能系统容量配置方法[J]. 中国电机工程学报2012, 32(28): 27-35.
YAN Gangui, FENG Xiaodong, LI Junhui, et al. Capacity allocation method of energy storage system for relaxing peak shaving bottleneck[J]. Proceedings of the CSEE, 2012, 32(28): 27-35.
[22]
张峰,张熙,张利,等. 区域风电场群储能电站的优化配置及运行策略[J]. 电工技术学报2016, 31(14): 49-57.
ZHANG Feng, ZHANG Xi, ZHANG Li, et al. Optimal allocation and operation strategy of energy storage power stations in regional wind farms[J]. Journal of Electrotechnics, 2016, 31(14): 49-57.
[23]
YANG Z, ZHANG J, KINTNER-MEYER M C W, et al. Electrochemical energy storage for green grid[J]. Chemical Reviews, 2011, 111(5): 3577-3613.
[24]
张峰,董晓明,梁军,等. 考虑目标分解及其互补平抑的风电场复合储能容量优化[J]. 电力系统自动化2014, 38(7): 9-15.
ZHANG Feng, DONG Xiaoming, LIANG Jun, et al. Optimization of composite energy storage capacity of wind farm considering target decomposition and complementary stabilization[J]. Power System Automation, 2014, 38(7): 9-15.
[25]
吴小刚,刘宗歧,田立亭,等. 基于改进多目标粒子群算法的配电网储能选址定容[J]. 电网技术2014, 38(12): 3405-3411.
WU Xiaogang, LIU Zongqi, TIAN Liting, et al. Location and capacity determination of energy storage in distribution network based on improved multi-objective particle swarm optimization algorithm[J]. Power Grid Technology, 2014, 38(12): 3405-3411.
[26]
邓凯文,韩肖清,梁 琛. 精英非支配排序算法与改进粒子群算法相结合的储能优化配置[J]. 科学技术与工程2017, 17(20): 171-177.
DENG Kaiwen, HAN Xiaoqing, LIANG Chen. Energy storage optimal allocation based on elite non dominated sorting algorithm and improved particle swarm optimization algorithm[J]. Science technology and Engineering, 2017, 17(20): 171-177.

基金

宁夏自然科学基金项目(2021AAC03499)

PDF(1335 KB)

Accesses

Citation

Detail

段落导航
相关文章

/