Capacity Optimization of Hybrid Energy Storage Microgrid Considering Electricity-Hydrogen Coupling

被引:0
|
作者
Li Q. [1 ]
Zhao S. [1 ]
Pu Y. [1 ]
Chen W. [1 ]
Yu J. [2 ]
机构
[1] School of Electrical Engineering, Southwest Jiaotong University, Chengdu
[2] State Grid Shandong Electric Power Supply Company, Yantai Electric Power Supply Company, Yantai
关键词
Capacity configuration; Hybrid electric-hydrogen energy storage system; Island microgrid; Power supply reliability;
D O I
10.19595/j.cnki.1000-6753.tces.200754
中图分类号
学科分类号
摘要
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. © 2021, Electrical Technology Press Co. Ltd. All right reserved.
引用
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页码:486 / 495
页数:9
相关论文
共 19 条
  • [1] Cai Guowei, Kong Lingguo, Peng Long, Et al., Modeling and control of active photovoltaic power generation system based on hydrogen energy storage, Journal of Solar Energy, 37, 10, pp. 2451-2459, (2016)
  • [2] Li Xinran, Cui Xiwen, Huang Jiyuan, Et al., The self-adaption control strategy of energy storage batteries participating in the primary frequency regulation, Transactions of China Eledtrotecnical Society, 34, 18, pp. 3897-3908, (2019)
  • [3] Yan Ning, Pan Xiao, Zhang Mingli, Et al., Research on intra-day dispatch of multi-connected microgrids based on hybrid energy storage, Transactions of China Eledtrotecnical Society, 33, S2, pp. 577-585, (2018)
  • [4] Wu Qingfeng, Sun Xiaofeng, Wang Yanan, Et al., A distributed control strategy for soc balancing of distributed energy storage systems in microgrid, Transactions of China Eledtrotecnical Society, 33, 6, pp. 1247-1256, (2018)
  • [5] Li Xianshan, Fang Jing, Guo Shishu, Et al., Optimal configuration of grid-connected microgrid capacity based on sensitivity analysis, Power System Protection and Control, 46, 23, pp. 8-17, (2018)
  • [6] Ma Yiping, Optimized allocation of hybrid energy storage capacity for microgrid considering electric vehicle dispatching, Power System Protection and Control, 45, 23, pp. 98-107, (2017)
  • [7] 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, Transactions of China Eledtrote-cnical Society, 35, 4, pp. 874-884, (2020)
  • [8] Zhang Jianhua, Yu Lei, Liu Nian, Et al., Capacity configuration optimization for island microgrid with wind/photovoltaic/diesel/storage and seawater desalination load, Transactions of China Eledtrotecnical Society, 29, 2, pp. 102-112, (2014)
  • [9] Li Yanzhe, Guo Xiaojia, Dong Haiying, Et al., Optimization of hybrid energy storage system capacity in microgrid of wind/PV/storage, Proceedingsof the CSU-EPSA, pp. 1-8
  • [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, International Journal of Electrical Power & Energy Systems, 89, pp. 27-39, (2017)