考虑电氢耦合的混合储能微电网容量配置优化

doi:10.19595/j.cnki.1000-6753.tces.200754

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (1364 KB) HTML
输出: BibTeX | EndNote (RIS)

摘要在当前电氢联系日益紧密以及微电网技术发展日益成熟的条件下,以单位电量成本、负载失电率和能量过剩率为目标函数,提出考虑电氢耦合的混合储能微电网容量优化配置方法。其中,氢储能系统主要包括电解槽、燃料电池及储氢罐等元件。该储能系统清洁无污染,能够提高光伏发电利用率,平抑直流母线电压波动。采用粒子群优化算法求解具体算例,得到综合经济性与供电可靠性最优的容量配置结果。通过对比分析不同优化算法与权重系数对配置结果的影响,验证了所提方法的有效性。采用RT-LAB半实物仿真平台将配置结果运用在实际情况下,保证了系统在实际工作中的经济性与稳定性。

	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
	李奇
	赵淑丹
	蒲雨辰
	陈维荣
	于瑾

关键词 ：孤岛微电网, 容量配置, 电氢混合储能系统, 供电可靠性

Abstract：Under the conditions of the increasingly close connection between electricity and hydrogen and the increasingly mature development of microgrid technology, this paper proposes an optimal allocation method of hybrid energy storage micro-grid capacity considering electro-hydrogen coupling, taking unit power cost, load loss rate and energy excess rate as objective functions. Among them, the hydrogen energy storage system mainly includes components such as an electrolytic cell, a fuel cell, and a hydrogen storage tank. The energy storage system is clean and pollution-free, which can improve the utilization ratio of photovoltaic power generation and smooth the voltage fluctuation of DC bus. Particle swarm optimization (PSO) algorithm is used to solve the concrete example, and the optimal capacity configuration result of integrated economy and power supply reliability is obtained. By comparing and analyzing the influence of different optimization algorithms and weight coefficients on the configuration results, the effectiveness of the proposed method is verified. RT-LAB hardware-simulation platform is used to run under the actual situation with the configuration results, which ensures the economy and stability of the system in the actual work.

Key words： Island microgrid capacity configuration hybrid electric-hydrogen energy storage system power supply reliability

收稿日期: 2020-06-30

PACS:

TM73

基金资助:国家自然科学基金（51977181）、四川省科技计划应用基础面上项目（19YYJC0698）和霍英东教育基金会高等院校青年教师基金（171104）资助

通讯作者: 李奇男,1984年生,教授,博士生导师,研究方向为轨道交通新能源技术,综合能源系统运行与控制等。

作者简介: 赵淑丹女,1996年生,硕士研究生,研究方向为微电网运行与控制。E-mail：Crystalzsd@163.com

引用本文:

李奇, 赵淑丹, 蒲雨辰, 陈维荣, 于瑾. 考虑电氢耦合的混合储能微电网容量配置优化[J]. 电工技术学报, 2021, 36(3): 486-495. Li Qi, Zhao Shudan, Pu Yuchen, Chen Weirong, Yu Jin. Capacity Optimization of Hybrid Energy Storage Microgrid Considering Electricity-Hydrogen Coupling. Transactions of China Electrotechnical Society, 2021, 36(3): 486-495.

链接本文:

https://dgjsxb.ces-transaction.com/CN/10.19595/j.cnki.1000-6753.tces.200754 https://dgjsxb.ces-transaction.com/CN/Y2021/V36/I3/486

[1] 蔡国伟, 孔令国, 彭龙, 等. 基于氢储能的主动型光伏发电系统建模与控制[J]. 太阳能学报, 2016, 37(10): 2451-2459.
Cai Guowei, Kong Lingguo, Peng Long, et al.Modeling and control of active photovoltaic power generation system based on hydrogen energy storage[J]. Journal of Solar Energy, 2016, 37(10): 2451-2459.
[2] 李欣然, 崔曦文, 黄际元, 等. 电池储能电源参与电网一次调频的自适应控制策略[J]. 电工技术学报, 2019, 34(18): 3897-3908.
Li Xinran, Cui Xiwen, Huang Jiyuan, et al.The self-adaption control strategy of energy storage batteries participating in the primary frequency regulation[J]. Transactions of China Eledtrotecnical Society, 2019, 34(18): 3897-3908.
[3] 颜宁, 潘霄, 张明理, 等. 基于复合储能的多互联微电网日内调度研究[J].电工技术学报, 2018, 33(增刊2): 577-585.
Yan Ning, Pan Xiao, Zhang Mingli, et al.Research on intra-day dispatch of multi-connected microgrids based on hybrid energy storage[J]. Transactions of China Eledtrotecnical Society, 2018, 33(S2): 577-585.
[4] 吴青峰, 孙孝峰, 王雅楠, 等. 基于分布式下垂控制的微电网分布式储能系统SOC平衡策略[J]. 电工技术学报, 2018, 33(6): 1247-1256.
Wu Qingfeng, Sun Xiaofeng, Wang Yanan, et al.A distributed control strategy for soc balancing of distributed energy storage systems in microgrid[J]. Transactions of China Eledtrotecnical Society, 2018, 33(6): 1247-1256.
[5] 李咸善, 方婧, 郭诗书, 等. 基于灵敏度分析的并网型微电网容量优化配置[J]. 电力系统保护与控制, 2018, 46(23): 8-17.
Li Xianshan, Fang Jing, Guo Shishu, et al.Optimal configuration of grid-connected microgrid capacity based on sensitivity analysis[J]. Power System Protection and Control, 2018, 46(23): 8-17.
[6] 马益平. 考虑电动汽车调度的微电网混合储能容量优化配置[J]. 电力系统保护与控制, 2017, 45(23): 98-107.
Ma Yiping.Optimized allocation of hybrid energy storage capacity for microgrid considering electric vehicle dispatching[J]. Power System Protection and Control, 2017, 45(23): 98-107.
[7] 李建林, 牛萌, 周喜超, 等. 能源互联网中微能源系统储能容量规划及投资效益分析[J]. 电工技术学报, 2020, 35(4): 874-884.
Li Jianlin, Niu Meng, Zhou Xichao, et al.Energy storage capacity planning and investment benefit analysis of micro-energy system in energy in energy interconnection[J]. Transactions of China Eledtrote-cnical Society, 2020, 35(4): 874-884.
[8] 张建华, 于雷, 刘念, 等. 含风/光/柴/蓄及海水淡化负荷的微电网容量优化配置[J].电工技术学报, 2014, 29(2): 102-112.
Zhang Jianhua, Yu Lei, Liu Nian, et al.Capacity configuration optimization for island microgrid with wind/photovoltaic/diesel/storage and sea water desalination load[J]. Transactions of China Eledtrotecnical Society, 2014, 29(2): 102-112.
[9] 李彦哲, 郭小嘉, 董海鹰, 等. 风/光/储微电网混合储能系统容量优化配置[J/OL]. 电力系统及其自动化学报: 1-8[2020-03-20].https://doi.org/10.19 635/j. cnki.csu-epsa.000322.
Li Yanzhe, Guo Xiaojia, Dong Haiying, et al.Optimization of hybrid energy storage system capacity in microgrid of wind/PV/storage[J/OL]. Proceedings of the CSU-EPSA: 1-8 [2020-03-20].https://doi.org/ 10.19635/j.cnki.csu-epsa.000322.
[10] Nguyen T H T, Nakayama T, Ishida M. Optimal capacity design of battery and hydrogen system for the DC grid with photovoltaic power generation based on the rapid estimation of grid dependency[J]. International Journal of Electrical Power & Energy Systems, 2017, 89: 27-39.
[11] Hirohisa Aki, Ichiro Sugimoto, Tokuyoshi Sugai, et al.Optimal operation of a photovoltaic generation-powered hydrogen production system at a hydrogen refueling station[J]. International Journal of Hydrogen Energy, 2018, 43(32): 14892-14904.
[12] 徐岩, 何宸, 付超, 等. 多种调度模式下的光储电站经济性最优储能容量配置分析[J]. 太阳能学报, 2019, 40(6): 1632-1640.
Xu Yan, He Chen, Fu Chao, et al.Analysis of economical optimal energy storage capacity allocation of optical storage power station under multiple dispatch modes[J]. Journal of Solar Energy, 2019, 40(6): 1632-1640.
[13] 王宁, 张建成. 基于能量协调控制的混合储能系统容量配置方法[J]. 电力建设, 2016, 37(8): 72-77.
Wang Ning, Zhang Jiancheng.Capacity allocation method of hybrid energy storage system based on energy coordinated control[J]. Electric Power Construction, 2016, 37(8): 72-77.
[14] Georgia E Asimakopoulou, Nikos D Hatziargyriou.Evaluation of economic benefits of DER aggregation[J]. IEEE Transactions on Sustainable Energy, 2018, 9(2): 499-510.
[15] 程苒, 李峰, 常湧. 独立微电网系统电源容量优化配置研究[J]. 分布式能源, 2019, 4(3): 8-15.
Cheng Ran, Li Feng, Chang Yong.Power capacity optimization design of standalone microgrid[J]. Distributed Energy, 2019, 4(3): 8-15.
[16] Wang Rui, Zhang Tao, Shi Zhichao.Multi-objective optimal design of hybrid renewable energy systems using preference-inspired coevolutionary approach[J]. Solar Energy, 2015, 118: 96-106.
[17] Yang Hongxing, Zhou Wei, Lu Lin, et al.Optimal sizing method for stand-alone hybrid solar-wind system with LPSP technology by using genetic algorithm[J]. Solar Energy, 2008, 82(4): 354-367.
[18] 蒲雨辰, 李奇, 陈维荣, 等. 计及最小使用成本及储能状态平衡的电-氢混合储能孤岛直流微电网能量管理[J]. 电网技术, 2019, 43(3): 918-927.
Pu Yuchen, Li Qi, Chen Weirong, et al.Energy management for island DC microgrid with hybrid electric-hydrogen energy storage system based on minimum utilization cost and energy storage state balance[J]. Power System Techonlogy, 2019, 43(3): 918-927.
[19] 于瑾. 电-氢多能互补型微电网优化配置与运行控制[D]. 成都: 西南交通大学, 2019.