计及功率密度约束含氢储能的预装式多元储能电站容量优化配置研究

doi:10.19595/j.cnki.1000-6753.tces.191723

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (1500 KB) HTML
输出: BibTeX | EndNote (RIS)

摘要为解决海岛、边防哨所等偏远地区电力供应困难的问题,计及体积功率密度约束,提出一种紧凑、可移动、含氢储能单元的预装式多元储能电站方案。针对预装式储能电站中氢储能、锂电池和超级电容器容量协调优化配置问题,分析微电网平衡功率频谱,基于不同类型储能单元响应特性,确定多元储能单元功率分配策略;通过储能系统成本结构分析,以年综合成本最小为目标,考虑集装箱功率密度、剩余电量、能量溢出率与负荷缺电率等约束,采用遗传算法求解模型,得到多元储能单元容量优化配置方案。最后,实例验证了所提方法的适用性与经济可行性。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	袁铁江
	张昱
	栗磊
	曹新慧
	杨南

关键词 ：微电网, 预装式储能电站, 频谱分析, 多元储能, 遗传算法

Abstract：In order to solve the problem of power supply difficulties in remote areas such as islands and border posts, and taking into account the constraints of volume power density, a compact, movable, hydrogen-containing energy storage unit pre-installed multi-energy storage power station solution was proposed. Aiming at the problem of coordinated and optimized allocation of hydrogen energy storage, lithium battery and supercapacitor capacity in pre-installed energy storage power stations, by means of analyzing balanced power spectrum of micro grid, the power distribution strategy of multiple energy storage units was determined based on the response characteristics of different types of energy storage units. By analyzing the cost structure of the energy storage system, aiming at the minimum annual comprehensive cost and considering the constraints such as the container power density, remaining electric quantity, energy overflow rate and load power shortage rate, this article uses the genetic algorithm solves the model to obtain the optimal allocation scheme of the capacity of multiple energy storage units.

Key words： Microgrid prefabricated energy storage power station spectrum analysis multiple energy storage genetic algorithm

收稿日期: 2019-12-09

PACS:	TK91
	TM732

基金资助:国家电网公司科技项目资助（SGNXDK00DWJS1800016）

通讯作者: 张昱男,1995年生,硕士研究生,研究方向为储能与新能源发电并网技术等。E-mail：434724413@qq.com

作者简介: 袁铁江男,1975 年生,教授,博士生导师,研究方向为氢能与电力、化石能源集成技术,电力储能及其并网技术、新能源发电并网技术,统一能源系统理论与方法等。E-mail：ytj1975@dlut.edu.cn

引用本文:

袁铁江, 张昱, 栗磊, 曹新慧, 杨南. 计及功率密度约束含氢储能的预装式多元储能电站容量优化配置研究[J]. 电工技术学报, 2021, 36(3): 496-506. Yuan Tiejiang, Zhang Yu, Li Lei, Gao Xinhui, Yang Nan. Capacity Optimization Configuration of Pre-Installed Multi-Energy Storage Power Station Considering Power Density Constrained Hydrogen Storage. Transactions of China Electrotechnical Society, 2021, 36(3): 496-506.

链接本文:

https://dgjsxb.ces-transaction.com/CN/10.19595/j.cnki.1000-6753.tces.191723 https://dgjsxb.ces-transaction.com/CN/Y2021/V36/I3/496

[1] 陈柏翰, 冯伟, 孙凯, 等. 冷热电联供系统多元储能及孤岛运行优化调度方法[J].电工技术学报, 2019, 34(15): 3231-3243.
Chen Baihan, Feng Wei, Sun Kai, et al.Multi-energy storage system and islanded optimal dispatch method of CCHP[J]. Transactions of China Electrotechnical Society, 2019, 34(15): 3231-3243.
[2] Abbey C, Li W, Joos G.An online control algorithm for application of a hybrid ESS to a wind-diesel system[J]. IEEE Transactions on Industrial Electronics, 2010, 57(12): 3896-3904.
[3] Barton J P, Infield D G.Energy storage and its use with intermittent renewable energy[J]. IEEE Transactions on Energy Conversion, 2004, 19(2): 441-448.
[4] 熊连松, 修连成, 王慧敏, 等. 储能系统抑制电网功率振荡的机理研究[J].电工技术学报, 2019, 34(20): 4373-4380.
Xiong Liansong, Xiu Liancheng, Wang Huimin, et al.Mechanism of energy storage system to suppress grid power oscillations[J]. Transactions of China Electrotechnical Society, 2019, 34(20): 4373-4380.
[5] 李建林, 马会萌, 田春光, 等. 基于区间层次分析法的电化学储能选型方案[J]. 高电压技术, 2016, 42(9): 2707-2714.
Li Jianlin, Ma Huimeng, Tian Chunguang, et al.Selection scheme of electrochemical energy storage based on interval analytic hierarchy process method[J]. High Voltage Engineering, 2016, 42(9): 2707-2714.
[6] Barin A, Canha L N, Da Rosa Abaide A, et al. Selection of storage energy technologies in a power quality scenario -the AHP and the fuzzy logic[C]//35th Annual Conference of IEEE Industrial Electronics, 2009: 3615-3620.
[7] 丁明, 王波, 赵波, 等. 独立风光柴储微网系统容量优化配置[J]. 电网技术, 2013, 37(3): 575-581.
Ding Ming, Wang Bo, Zhao Bo, et al.Configuration optimization of capacity of standalone PV-wind- diesel-battery hybrid microgrid[J]. Power System Technology, 2013, 37(3): 575-581.
[8] 谢志佳, 李建林, 惠东. 提升风电就地消纳的多介质储能系统容量优化配置[J]. 电器与能效管理技术, 2018(11): 56-61.
Xie Zhijia, Li Jianlin, Hui Dong.Capacity optimization of multi-medium energy storage system improving local consumption of wind power[J]. Electrical & Energy Management Technology, 2018(11): 56-61.
[9] Gupta R A, Kumar R, Bansal A K.Economic analysis and design of stand-alone wind/photovoltaic hybrid energy system using genetic algorithm[C]// International Conference on Computing, Communication, and Applications, 2012, DOI: 10.1109/ICCCA2012. 6179189.
[10] Belfkira R, Hajji O, Nichita C, et al.Optimal sizing of stand-alone hybrid wind/PV system with battery storage[C]//2007 European Conference on Power Electronics and Applications. Aalborg, Denmark, IEEE, 2007, DOI: 10.1109/EPE.2007.4417586.
[11] Belfkira R, Zhang L, Barakat G.Optimal sizing study of hybrid wind/PV/diesel power generation unit[J]. Solar Energy, 2011, 85(1): 100-110.
[12] 李滨, 陈姝, 韦化. 风电场储能容量优化的频谱分析方法[J]. 中国电机工程学报, 2015, 35(9): 2128-2134.
Li Bin, Chen Shu, Wei Hua.Optimization of energy storage capacity based on spectral analysis for wind farm[J]. Proceedings of the CSEE, 2015, 35(9): 2128-2134.
[13] 秦强强, 郭婷婷, 林飞, 等. 基于能量转移的城轨交通电池储能系统能量管理和容量配置优化[J].电工技术学报, 2019, 34(增刊1): 414-423.
Qin Qiangqiang, Guo Tingting, Lin Fei, et al.Optimal research for energy management and configuration of battery ESS in urban rail transit based on energy transfer[J]. Transactions of China Electrotechnical Society, 2019, 34(S1): 414-423.
[14] 吴红斌, 陈斌, 郭彩云. 风光互补发电系统中混合储能单元的容量优化[J]. 农业工程学报, 2011, 27(4): 241-245.
Wu Hongbin, Chen Bin, Guo Caiyun.Capacity optimization of hybrid energy storage units in wind/solar generation system[J]. Transactions of the Chinese Society of Agricultural Engineering, 2011, 27(4): 241-245.
[15] 李龙云, 胡博, 谢开贵, 等. 基于离散傅里叶变换的孤岛型微电网混合储能优化配置[J]. 电力系统自动化, 2016, 40(12): 108-116.
Li Longyun, Hu Bo, Xie Kaigui, et al.Capacity optimization of hybrid energy storage systems in isolated microgrids based on discrete Fourier transform[J]. Automation of Electric Power Systems, 2016, 40(12): 108-116.
[16] 钟国彬, 吴涛, 曾杰, 等. 基于离散傅里叶变换的主动配电网混合储能容量优化配置[J]. 电力建设, 2018, 39(8): 85-93.
Zhong Guobin, Wu Tao, Zeng Jie, et al.Optimal capacity planning of hybrid energy storage system in active distribution network on the basis of discrete Fourier transform[J]. Electric Power Construction, 2018, 39(8): 85-93.
[17] 葛乐, 袁晓冬, 王亮, 等. 面向配电网优化运行的混合储能容量配置[J]. 电网技术, 2017, 41(11): 3506-3513.
Ge Le, Yuan Xiaodong, Wang Liang, et al.Capacity configuration of hybrid energy storage system for distribution network optimal operation[J]. Power System Technology, 2017, 41(11): 3506-3513.
[18] 张茜. 蓄电池和超级电容混合储能系统控制策略研究[J]. 电气应用, 2018, 37(1): 20-23.
Zhang Qian.Research on control strategy of battery and super capacitor hybrid energy storage system[J]. Electrotechnical Application, 2018, 37(1): 20-23.
[19] 王利猛, 刘久成, 田春光, 等. 基于统计学方法的微网混合储能容量优化配置[J]. 电网技术, 2018, 42(1): 187-194.
Wang Limeng, Liu Jiucheng, Tian Chunguang.Capacity optimization of hybrid energy storage in microgrid based on statistic method[J]. Power System Technology, 2018, 42(1): 187-194.
[20] 赵乙潼, 王慧芳, 何奔腾, 等. 面向用户侧的电池储能配置与运行优化策略[J].电力系统自动化, 2020, 44(6): 121-130.
Zhao Yitong, Wang Huifang, He Benteng, et al.Optimization strategy of configuration and operation for user-side battery energy storage[J]. Power System Automation, 2020, 44(6): 121-130.
[21] 杨捷, 金新民, 吴学智, 等. 直流微网中混合储能系统的无互联通信网络功率分配策略[J].电工技术学报, 2017, 32(10): 135-144.
Yang Jie, Jin Xinmin, Wu Xuezhi, et al.A wireless power sharing control strategy for hybrid energy storage systems in DC microgrids[J]. Transactions of China Electrotechnical Society, 2017, 32(10): 135-144.
[22] 贾兆昊, 张峰,丁磊. 考虑功率四象限输出的配电网储能优化配置策略[J]. 电力系统自动化, 2020, 44(2): 105-118.
Jia Zhaohao, Zhang Feng, Ding Lei.Optimal allocation strategy of energy storage in distribution network considering power four-quadrant output[J]. Automation of Electric Power Systems, 2020, 44(2): 105-118.
[23] 薛金花, 叶季蕾, 杨波, 等. 储能在分布式发电/微电网中的容量优化配置[J]. 电源技术, 2013, 37(12): 2258-2260, 2268.
Xue Jinhua, Ye Jilei, Yang Bo, et al.Capacity optimization method of storage energy system in distributed generation and micro grid[J]. Chinese Journal of Power Sources, 2013, 37(12): 2258-2260, 2268.
[24] 孙鹤旭, 李争, 陈爱兵, 等. 风电制氢技术现状及发展趋势[J]. 电工技术学报, 2019, 34(19): 4071-4083.
Sun Hexu, Li Zheng, Chen Aibing, et al.Current status and development trend of hydrogen production Technology by wind power[J]. Transactions of China Electrotechnical Society, 2019, 34(19): 4071-4083.
[25] 肖宇. 氢储能:支撑起智能电网和可再生能源发电规模化[J]. 中国战略新兴产业, 2016(1): 46-49.
Xiao Yu.Hydrogen storage: supporting the scale of smartgrid and renewable energy generation[J]. China Strategic Emerging Industry, 2016(1): 46-49.
[26] 中国氢能源及燃料电池分析[J]. 中国科技信息, 2019(21): 8-9.
China hydrogen energy and fuel cell analysis[J]. China Science and Technology Information, 2019(21): 8-9.
[27] 罗鹏, 杨天蒙, 娄素华, 等. 基于频谱分析的微网混合储能容量优化配置[J]. 电网技术, 2016, 40(2): 376-381.
Luo Peng, Yang Tianmeng, Lou Suhua, et al.Spectrum analysis based capacity configuration of hybrid energy storage in microgrid[J]. Power System Technology, 2016, 40(2): 376-381.
[28] 王树军, 刘健, 赵国良, 等. 用于提高双馈风力机低电压穿越能力的超级电容储能容量配置及控制策略研究[J]. 电器与能效管理技术, 2019(9): 65-70.
Wang Shujun, Liu Jian, Zhao Guoliang, et al.Research on the sizing and control scheme of super capacitor system for LVRT of double-fed wind generator[J]. Electrical Energy Management Technology, 2019(9): 65-70.
[29] Genevieve Saur.Wind-to-hydrogen project: electrolyzer capital cost study[R]. National Renewable Energy Laboratory: 2008
[30] 郭玲娟, 魏斌, 韩肖清, 等. 基于集合经验模态分解的交直流混合微电网混合储能容量优化配置[J]. 高电压技术, 2020, 46(2): 527-537.
Guo Lingjuan, Wei Bin, Han Xiaoqing, et al.Capacity optimal configuration of hybrid energy storage in hybrid AC/DC micro-grid based on ensemble empirical mode decomposition[J]. High Voltage Engineering, 2020, 46(2): 527-537.