NFLUENCE OF ALTITUDE ON DYNAMIC CHARACTERISTICS OF HIGH-ALTITUDE KITE POWER GENERATION SYSTEM

Shao Lei, Yang Jiahao, Luo Zhong, Li Bosheng, Huang Zisong, Zhang Sheng

Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (4) : 337-349.

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (4) : 337-349. DOI: 10.19912/j.0254-0096.tynxb.2024-2210

NFLUENCE OF ALTITUDE ON DYNAMIC CHARACTERISTICS OF HIGH-ALTITUDE KITE POWER GENERATION SYSTEM

  • Shao Lei1, Yang Jiahao1, Luo Zhong2, Li Bosheng2, Huang Zisong1, Zhang Sheng1
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Abstract

In order to study the influence of altitude on the dynamic characteristics of the high-altitude kite power generation system, the high-altitude kite dynamics correction model is established based on the altitude-density-temperature-wind speed function, and the high-altitude kite dynamics simulation model based on the correction of altitude is established by combining with Simulink, so as to solve in real time parameters such as the kinematic characteristics, the flight trajectory and the power generation during the operation of the high-altitude kite. The results show that the altitude has a significant effect on the dynamic characteristics of the kite power generation system under high initial wind speed and large initial pitch angle. Under different initial wind speeds, the peak power consumption of the contraction phase of modified model increases by 7.63% to 10.02% compared with the original model, and the total energy under the same cycle increases by 15.94% to 21.61% compared with the original model, and the larger initial wind speed, the more significant impact of altitude on trajectory. under different initial pitch angles, the peak power consumption of the contraction phase of modified model increases by 4.84% to 6.63% compared with the original model, and the total energy in the same cycle increases from about 0.73% to 7.79% compared with the original model, and the larger initial pitch angle, the more significant the impact of altitude on trajectory; under different lift-to-drag ratios, the peak power consumption of the contraction phase of modified model increases from about 2.85% to 10.03% compared with the original model, and the total energy in the same cycle increases by approximately 3.96% to 15.81% compared with the original model.

Key words

airborne wind energy / wind power generation / flight dynamics / tethered kite / flight trajectory

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Shao Lei, Yang Jiahao, Luo Zhong, Li Bosheng, Huang Zisong, Zhang Sheng. NFLUENCE OF ALTITUDE ON DYNAMIC CHARACTERISTICS OF HIGH-ALTITUDE KITE POWER GENERATION SYSTEM[J]. Acta Energiae Solaris Sinica. 2026, 47(4): 337-349 https://doi.org/10.19912/j.0254-0096.tynxb.2024-2210

References

[1] 韩爽, 刘杉. 高空风力发电关键技术、现状及发展趋势[J]. 分布式能源, 2024, 9(1): 1-9.
HAN S, LIU S.Key technologies, current status and development trends of high-altitude wind power generation[J]. Distributed energy, 2024, 9(1): 1-9.
[2] 邵垒, 毛虹霖, 邢胜, 等. 高空风力发电发展现状及关键技术研究综述[J]. 新能源进展, 2020, 8(6): 477-485.
SHAO L, MAO H L, XING S, et al.Review on development status and key technology of airborne wind energy system[J]. Advances in new and renewable energy, 2020, 8(6): 477-485.
[3] KHEIRI M, VICTOR S, RANGRIZ S, et al.Aerodynamic performance and wake flow of crosswind kite power systems[J]. Energies, 2022, 15(7): 2449.
[4] 王若钦, 严德, 李柳青, 等. 切风模式风力发电飞行器的进展与挑战[J]. 航空工程进展, 2018, 9(2): 139-146.
WANG R Q, YAN D, LI L Q, et al.Advances and challenges of crosswind mode airborne wind energy aircrafts[J]. Advances in aeronautical science and engineering, 2018, 9(2): 139-146.
[5] 刘耀广, 王耀坤, 万志强, 等. 系留悬浮式风力发电技术的研究进展与展望[J]. 航空工程进展, 2021, 12(4): 36-43.
LIU Y G, WANG Y K, WAN Z Q, et al.Research progress and prospect of tethered floating wind energy generation technology[J]. Advances in aeronautical science and engineering, 2021, 12(4): 36-43.
[6] ARGATOV I, SHAFRANOV V.Economic assessment of small-scale kite wind generators[J]. Renewable energy, 2016, 89: 125-134.
[7] SALARI M E, COLEMAN J, TOAL D.Analysis of direct interconnection technique for offshore airborne wind energy systems under normal and fault conditions[J]. Renewable energy, 2019, 131: 284-296.
[8] AULL M, COHEN K.A nonlinear inverse model for airborne wind energy system analysis, control, and design optimization[J]. Wind energy, 2021, 24(2): 133-148.
[9] FASEL U, KEIDEL D, MOLINARI G, et al.Aeroservoelastic optimization of morphing airborne wind energy wings[C]//AIAA Scitech 2019 Forum. San Diego, California, 2019: 1217.
[10] 肖小丽. 风筝发电机飞行轨迹优化研究[D]. 湘潭: 湖南科技大学, 2020.
XIAO X L.Research on flight path optimization of kite generator[D]. Xiangtan: Hunan University of Science and Technology, 2020.
[11] 毋玉. 基于自适应控制的风筝发电系统研究[D]. 大庆: 东北石油大学, 2019.
WU Y.Research on kite power generation system based on adaptive control[D]. Daqing: Northeast Petroleum University, 2019.
[12] DE LELLIS M, MENDONÇA A K, SARAIVA R, et al. Electric power generation in wind farms with pumping kites: an economical analysis[J]. Renewable energy, 2016, 86: 163-172.
[13] ROQUE L A C, PAIVA L T, FERNANDES M C R M, et al. Layout optimization of an airborne wind energy farm for maximum power generation[J]. Energy reports, 2020, 6: 165-171.
[14] 杨国清, 刘世林, 王德意, 等. 基于Attention-GRU风速修正和Stacking的短期风电功率预测[J]. 太阳能学报, 2022, 43(12): 273-281.
YANG G Q, LIU S L, WANG D Y, et al.Short-term wind power forecasting based on attention-gru wind speed correction and stacking[J]. Acta energiae solaris sinica, 2022, 43(12): 273-281.
[15] 丁勇钢, 张兴, 李美之. 变速变桨控制水平轴风力机桨距角优化[J]. 工程热物理学报, 2016, 37(10): 2130-2135.
DING Y G, ZHANG X, LI M Z.Pitch angle optimization of variable speed pitch control HAWTs[J]. Journal of engineering thermophysics, 2016, 37(10): 2130-2135.
[16] 杨文举, 邵垒, 曾宪君, 等. 巡航高度对飞机燃油箱水污染物生成特性的影响[J]. 航空动力学报, 2024, 39(7): 189-195.
YANG W J, SHAO L, ZENG X J, et al.Influence of cruise altitude on water contaminant formation in aircraft fuel tank water[J]. Journal of aerospace power, 2024, 39(7): 189-195.
[17] 付德义, 高世桥, 孔令行, 等. 基于相关向量信息熵的风电机组功率曲线构建方法研究[J]. 太阳能学报, 2022, 43(5): 252-259.
FU D Y, GAO S Q, KONG L X, et al.Wind turbine power curve construction based on correlation vector information entropy[J]. Acta energiae solaris sinica, 2022, 43(5): 252-259.
[18] VAN DER VLUGT R, BLEY A, NOOM M, et al. Quasi-steady model of a pumping kite power system[J]. Renewable energy, 2019, 131: 83-99.
[19] JOHNSON H.Kite farm simulation[D]. Delft: Delft University of Technology, 2019.
[20] SCHMEHL R.Airborne Wind Energy: advances in technology development and research[M]. Singapore: Springer Singapore, 2018.
[21] 邢作霞, 项尚, 徐健, 等. 外部环境对风电机组性能影响分析[J]. 太阳能学报, 2021, 42(3): 98-104.
XING Z X, XIANG S, XU J, et al.Analysis of influence of external environment on performance of wind turbine[J]. Acta energiae solaris sinica, 2021, 42(3): 98-104.
[22] 张立栋, 冯正聪, 田文鑫, 等. 垂直错列布局风力机群尾流特征研究[J]. 太阳能学报, 2024, 45(9): 517-524.
ZHANG L D, FENG Z C, TIAN W X, et al.Study on wake characteristics of vertically staggered wind turbines group[J]. Acta energiae solaris sinica, 2024, 45(9): 517-524.
[23] REN G R, WANG W, WAN J, et al.Investigating the impacts of spatial-temporal variation features of air density on assessing wind power generation and its fluctuation in China[J]. Science China technological sciences, 2023, 66(6): 1797-1814.
[24] GUERRI O, DALI A, BOUDIA S M, et al.Performance evaluation of a wind farm using different power density distributions[J]. Energy sources, part A: recovery, utilization, and environmental effects, 2024, 46(1): 9312-9324.
[25] KHAROUBI S, EL MENZHI L.Wind turbine doubly-fed induction generator defects diagnosis using rotor currents lissajous curves[J]. International journal of power electronics and drive systems (IJPEDS), 2020, 11(4): 2083.
[26] SALMA V, FRIEDL F, SCHMEHL R.Improving reliability and safety of airborne wind energy systems[J]. Wind energy, 2020, 23(2): 340-356.
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