风–光–氢多能互补综合能源系统的优化配置
Capacity Optimization Configuration of Wind/PV/Hydrogen Multi-Energy Complementary System
DOI: 10.12677/MOS.2024.131055, PDF,   
作者: 朱新瑶*, 李偲加, 李泽秋#：上海理工大学能源与动力工程学院，上海；黄蓓佳：上海理工大学环境与建筑学院，上海
关键词: 风光氢互补；氢储能；优化配置；经济分析；Wind-PV-Hydrogen System； Hydrogen Energy Storage； Optimal Configuration； Economic Analysis
摘要: 为了解决风能和太阳能的间歇性和随机性造成的弃风弃光问题，本文介绍了一种风光氢多能互补综合能源系统。合理的容量配置是解决风光发电经济性和保证系统稳定性的关键，因此本文建立了考虑储氢容量的风光氢发电模型。以系统输出功率与用户负荷之间偏差最小作为目标函数，以各设备安全运行边界为约束，利用遗传算法寻求最优配置。为验证有效性，结合某风光互补发电项目的装机容量，根据当地的实际天气数据和用户负荷数据求解最优的储能装置容量方案，并对系统进行能源和经济性分析，保证系统可行性。结果表明，最优储能配置由132.62 MW电解槽、49.68 MW燃料电池和1100.75 km3储氢罐组成。该配置下的系统投资回收年限为4.6年，能源增长率为24.72%。
Abstract: In order to solve the problem of wind and solar energy abandonment caused by intermittence and randomness, this paper introduces a wind/PV/hydrogen multi-energy complementary system. Reasonable capacity allocation is the key to solve the economy and ensure the stability of solar power generation, so this paper establishes a solar hydrogen power generation model considering hydrogen storage capacity. With the minimum deviation between system output power and user load as the objective function and the safe operating boundary of each device as the constraint, ge-netic algorithm is used to seek the optimal configuration. In order to verify the effectiveness, com-bined with the historical data of the wind/PV complementary project, the optimal capacity scheme of the energy storage device was solved according to the actual local weather data and user load data, and the energy and economic analysis of the system was carried out to ensure the feasibility of the system. The results show that the optimal energy storage configuration is composed of 132.62 MW electrolyser, 49.68 MW fuel cell and 1100.75 km3 hydrogen storage tank. The payback life of the system under this configuration is 4.6 years, and the energy growth rate is 24.72%.
文章引用：朱新瑶, 李偲加, 李泽秋, 黄蓓佳. 风–光–氢多能互补综合能源系统的优化配置[J]. 建模与仿真, 2024, 13(1): 563-575. https://doi.org/10.12677/MOS.2024.131055

参考文献

[1] 刘恩侨. 全球能源结构转型大势[J]. 中国经济报告, 2021(1): 105-113.
[2] 李勇, 汪灿. 全球可再生能源发展现状及展望: “国际清洁能源论坛” [C]//中国广核集团研究中心, 中国广核新能源控股有限公司新能源研究院. 2018国际清洁能源论坛论文集. 2018: 319-339.
[3] 国际能源署: 可再生能源全球装机增量未来五年有望翻番[J]. 石油和化工设备, 2023, 26(1): 128.
[4] 李剑. 我国风能发电发展前景研究[J]. 中国设备工程, 2019(14): 184-185.
[5] Bauann, M., Weil, M., Peters, J.F., et al. (2019) A Review of Multicriteria Decision Making Approaches for Evaluating Energy Storage Systems for Grid Applications. Renewable and Sustainable Energy Reviews, 107, 516-534. [Google Scholar] [CrossRef] 
[6] Ren, J.Z. and Ren, X.S. (2018) Sustainability Ranking of Energy Storage Tech-nologies under Uncertainties. Journal of Cleaner Production, 170, 1387-1398. [Google Scholar] [CrossRef] 
[7] Abe, J.O., Popoola, A.P.I., Aenifuja, E. and Popoola, O.M. (2019) Hydrogen Energy, Economy and Storage: Review and Recommendation. International Journal of Hydrogen Energy, 44, 15072-15086. [Google Scholar] [CrossRef] 
[8] 王虎. 基于多能互补的综合能源发展模式研究及应用[J]. 电力与能源, 2022, 43(5): 438-440, 456.
[9] Xu, C.B., Ke, Y.M., Li, Y.B., et al. (2020) Data-Driven Configuration Optimization of an Off-Grid Wind/PV/Hydrogen System Based on Modified NSGA-II and CRITIC-TOPSIS. Energy Conversion and Management, 215, Article ID: 112892. [Google Scholar] [CrossRef] 
[10] 张东, 刘鹏飞, 刘春阳, 等. 太阳能PV/T光储直驱热电联产系统性能[J]. 化工进展, 2023, 42(6): 2895-2903.
[11] Das, M., Singh, M.A.K. and Biswas, A. (2019) Techno-Economic Optimi-zation of an Off-Grid Hybrid Renewable Energy System Using Metaheuristic Optimization Approaches—Case of a Radio Transmitter Station in India. Energy Conversion and Management, 185, 339-352. [Google Scholar] [CrossRef] 
[12] Sanajaoba, S. (2019) Optimal Sizing of Off-Grid Hybrid Energy System Based on Minimum Cost of Energy and Reliability Criteria Using Firefly Algorithm. Solar Energy, 188, 655-666. [Google Scholar] [CrossRef] 
[13] Das, B.K., Hoque, N., Mandal, S., et al. (2017) A Techno-Economic Feasibil-ity of a Stand-Alone Hybrid Power Generation for Remote Area Application in Bangladesh. Energy, 134, 775-788. [Google Scholar] [CrossRef] 
[14] 荆涛, 陈庚, 王子豪, 等. 风光互补发电耦合氢储能系统研究综述[J]. 中国电力, 2022, 55(1): 75-83.
[15] Wang, J., Li, D., Lv, X., et al. (2022) Two-Stage Energy Management Strategies of Sustainable Wind-PV-Hydrogen- Storage Microgrid Based on Receding Horizon Optimization. Energies, 15, Article 2861. [Google Scholar] [CrossRef] 
[16] Zhai, R.R., Liu, H.T., Chen, Y., et al. (2017) The Daily and Annual Technical-Economic Analysis of the Thermal Storage PV-CSP System in Two Dispatch Strategies. Energy Conversion and Management, 154, 56-67. [Google Scholar] [CrossRef] 
[17] Baneshi, M. and Hadianfard, F. (2016) Techno-Economic Feasibility of Hybrid Diesel/PV/Wind/Battery Electricity Generation Systems for Non-Residential Large Electricity Consumers under Southern Iran Climate Conditions. Energy Conversion and Management, 127, 233-244. [Google Scholar] [CrossRef] 
[18] 陈维荣, 傅王璇, 韩莹, 等. 计及需求侧的风-光-氢多能互补微电网优化配置[J]. 西南交通大学学报, 2021, 56(3): 640-649.
[19] 张鉴, 华青松, 郑莉莉, 等. 质子交换膜燃料电池建模综述[J]. 电源技术, 2019, 43(6): 1051-1053, 1082.
[20] Peters, J.F., Banks, S.W., Bridgwater, A.V. and Dufour, J. (2017) A Kinetic Reaction Model for Biomass Pyrolysis Processes in Aspen Plus. Applied Energy, 188, 595-603. [Google Scholar] [CrossRef] 
[21] Zhang, G.Q., Li, Y.Y. and Zhang, N. (2017) Perfor-mance Analysis of a Novel Low CO2-Emission Solar Hybrid Combined Cycle Power System. Energy, 128, 152-162. [Google Scholar] [CrossRef] 

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