| Citation: | QI H T，LIU D，ZHAO D A，et al. Configuration optimization of wind/photovoltaic hydrogen production system at frontier sentries[J]. Journal of Beijing University of Aeronautics and Astronautics，2024，50（10）：3032-3041 （in Chinese） doi: 10.13700/j.bh.1001-5965.2022.0770
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In order to solve the problems of the remote location of frontier sentries, complex environment, large energy demand, and high cost of access to the electricity network, the complementary nature of wind/photovoltaic resources, as well as the high energy density and green and clean characteristics of hydrogen energy were used to establish a wind/photovoltaic hydrogen production system with wind and solar energy as the main power generation energy. In addition, hydrogen energy was selected as the energy storage unit of the system to meet the demand for energy diversity of frontier sentries and improve the sentries eability to obtain energy from the surrounding environment. Firstly, the mathematical model of each subsystem of the wind/photovoltaic hydrogen production system was established, and the system construction configuration was optimized to reduce the system cost, improve the utilization rate of renewable energy, and increase hydrogen energy production. The rated power of each component of the system was chosen as the design variable, and the meteorological data of specific regions was used as input. The non-dominated sorting genetic algorithm-Ⅲ (NSGA-Ⅲ) was applied to solve the system, and decision-making was performed on the Pareto solution set obtained by optimization.The visualization of the multi-dimensional Pareto front was realized through the drawing of level diagrams, and the optimal configuration scheme was compared with the unoptimized configuration scheme, the energy utilization rate and configuration cost can be greatly improved while ensuring the reliability of power supply.
| [1] |
孔令国. 风光氢综合能源系统优化配置与协调控制策略研究[D]. 北京: 华北电力大学, 2017: 1-12.
KONG L G. Research on optimal sizing and coordinated control strategy of integrated energy system of wind photovoltaic and hydrogen[D]. Beijing: North China Electric Power University, 2017: 1-12(in Chinese).
|
| [2] |
曹蕃, 郭婷婷, 殷爱鸣, 等. 风光氢混合发电系统设计与能量管理策略研究进展[J]. 分布式能源, 2021, 6(4): 1-14.
CAO F, GUO T T, YIN A M, et al. Research progress on optimal sizing and energy management strategy of wind-solar-hydrogen hybrid energy systems[J]. Distributed Energy, 2021, 6(4): 1-14(in Chinese).
|
| [3] |
AL BUSAIDI A S, KAZEM H A, AL-BADI A H, et al. A review of optimum sizing of hybrid PV-wind renewable energy systems in Oman[J]. Renewable and Sustainable Energy Reviews, 2016, 53: 185-193. doi: 10.1016/j.rser.2015.08.039
|
| [4] |
KHALILNEJAD A, RIAHY G H. A hybrid wind-PV system performance investigation for the purpose of maximum hydrogen production and storage using advanced alkaline electrolyzer[J]. Energy Conversion and Management, 2014, 80: 398-406. doi: 10.1016/j.enconman.2014.01.040
|
| [5] |
BAKHTIARI H, ALI NAGHIZADEH R. Multi-criteria optimal sizing of hybrid renewable energy systems including wind, photovoltaic, battery, and hydrogen storage with ɛ-constraint method[J]. IET Renewable Power Generation, 2018, 12(8): 883-892. doi: 10.1049/iet-rpg.2017.0706
|
| [6] |
GONZÁLEZ A, RIBA J R, RIUS A, et al. Optimal sizing of a hybrid grid-connected photovoltaic and wind power system[J]. Applied Energy, 2015, 154: 752-762. doi: 10.1016/j.apenergy.2015.04.105
|
| [7] |
马榕谷, 陈洁, 赵军超, 等. 非并网风氢互补系统的容量多目标优化[J]. 太阳能学报, 2019, 40(2): 422-429.
MA R G, CHEN J, ZHAO J C, et al. Multi-objective optimization for capacity of non-grid-connected wind/hydrogen hybrid power system[J]. Acta Energiae Solaris Sinica, 2019, 40(2): 422-429(in Chinese).
|
| [8] |
王侃宏, 赵政通, 罗景辉. 风光氢储系统的两阶优化匹配分析[J]. 科学技术与工程, 2020, 20(26): 10790-10794. doi: 10.3969/j.issn.1671-1815.2020.26.035
WANG K H, ZHAO Z T, LUO J H. Two-order optimization matching analysis of scenery hydrogen storage system[J]. Science Technology and Engineering, 2020, 20(26): 10790-10794(in Chinese). doi: 10.3969/j.issn.1671-1815.2020.26.035
|
| [9] |
KHIAREDDINE A, BEN SALAH C, REKIOUA D, et al. Sizing methodology for hybrid photovoltaic/wind/hydrogen/battery integrated to energy management strategy for pumping system[J]. Energy, 2018, 153: 743-762. doi: 10.1016/j.energy.2018.04.073
|
| [10] |
董伟强. 风光氢蓄混合发电系统的配置及其电池管理研究[D]. 杭州: 浙江大学, 2017: 10-19.
DONG W Q. Optimal sizing and battery management of a stand-alone hybrid power system based on battery/hydrogen[D]. Hangzhou: Zhejiang University, 2017: 10-19(in Chinese).
|
| [11] |
HADIDIAN MOGHADDAM M J, KALAM A, NOWDEH S A, et al. Optimal sizing and energy management of stand-alone hybrid photovoltaic/wind system based on hydrogen storage considering LOEE and LOLE reliability indices using flower pollination algorithm[J]. Renewable Energy, 2019, 135: 1412-1434. doi: 10.1016/j.renene.2018.09.078
|
| [12] |
XU L, RUAN X B, MAO C X, et al. An improved optimal sizing method for wind-solar-battery hybrid power system[J]. IEEE Transactions on Sustainable Energy, 2013, 4(3): 774-785. doi: 10.1109/TSTE.2012.2228509
|
| [13] |
SKOPLAKI E, PALYVOS J A. Operating temperature of photovoltaic modules: A survey of pertinent correlations[J]. Renewable Energy, 2009, 34(1): 23-29. doi: 10.1016/j.renene.2008.04.009
|
| [14] |
MORIN D, STEVENIN Y, GROLLEAU C, et al. Evaluation of performance improvement by model predictive control in a renewable energy system with hydrogen storage[J]. International Journal of Hydrogen Energy, 2018, 43(45): 21017-21029.
|
| [15] |
GÖTZ M, LEFEBVRE J, MÖRS F, et al. Renewable power-to-gas: A technological and economic review[J]. Renewable Energy, 2016, 85: 1371-1390.
|
| [16] |
SHAW S, PETEVES E. Exploiting synergies in European wind and hydrogen sectors: A cost-benefit assessment[J]. International Journal of Hydrogen Energy, 2008, 33(13): 3249-3263. doi: 10.1016/j.ijhydene.2008.02.052
|
| [17] |
DEB K, JAIN H. An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, Part I: Solving problems with box constraints[J]. IEEE Transactions on Evolutionary Computation, 2014, 18(4): 577-601. doi: 10.1109/TEVC.2013.2281535
|
| [18] |
耿焕同, 戴中斌, 王天雷, 等. 基于参考点选择策略的改进型NSGA-Ⅲ算法[J]. 模式识别与人工智能, 2020, 33(3): 191-201.
GENG H T, DAI Z B, WANG T L, et al. Improved NSGA-Ⅲ algorithm based on reference point selection strategy[J]. Pattern Recognition and Artificial Intelligence, 2020, 33(3): 191-201(in Chinese).
|
| [19] |
BLASCO X, HERRERO J M, SANCHIS J, et al. A new graphical visualization of n-dimensional Pareto front for decision-making in multiobjective optimization[J]. Information Sciences, 2008, 178(20): 3908-3924. doi: 10.1016/j.ins.2008.06.010
|
| [20] |
徐林, 阮新波, 张步涵, 等. 风光蓄互补发电系统容量的改进优化配置方法[J]. 中国电机工程学报, 2012, 32(25): 88-98.
XU L, RUAN X B, ZHANG B H, et al. An improved optimal sizing method for wind-solar-battery hybrid power system[J]. Proceedings of the CSEE, 2012, 32(25): 88-98(in Chinese).
|
| [21] |
万家豪, 苏浩, 冯冬涵, 等. 计及源荷匹配的风光互补特性分析与评价[J]. 电网技术, 2020, 44(9): 3219-3226.
WAN J H, SU H, FENG D H, et al. Analysis and evaluation of the complementarity characteristics of wind and photovoltaic considering source-load matching[J]. Power System Technology, 2020, 44(9): 3219-3226(in Chinese).
|
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