Modeling and Stable Operation Control Method for Airborne Wind Energy System Considering Longitudinal Disturbance Stability

LUO Bixiong; HU Junliang; YANG Yajun; REN Zongdong; HE Yadong

doi:10.16516/j.ceec.2024-306

English Version Reader LoginJournal Login

您当前的位置：

首页 >

文章列表页 >

Modeling and Stable Operation Control Method for Airborne Wind Energy System Considering Longitudinal Disturbance Stability

更新时间：2025-10-22

- Modeling and Stable Operation Control Method for Airborne Wind Energy System Considering Longitudinal Disturbance Stability
- Southern Energy Construction Vol. 12, Issue 1, Pages: 1-11(2025)
- 作者机构：
  
  1. 中国电力工程顾问集团有限公司,北京,100101
  2. 中国能源建设集团安徽省电力设计院有限公司,安徽,合肥,230601
- 作者简介：
- 基金信息：
- DOI：10.16516/j.ceec.2024-306
  CLC： TK89;TM614
- Published Online：28 October 2024，
  
  Published：2025
- 稿件说明：
移动端阅览
罗必雄，胡均亮，杨亚军，等. 计及纵向扰动稳定的高空风电系统建模与稳定运行控制方法[J]. 南方能源建设，2025，12（1）：1-11..

LUO Bixiong, HU Junliang, YANG Yajun, et al. Modeling and Stable Operation Control Method for Airborne Wind Energy System Considering Longitudinal Disturbance Stability[J]. Southern energy construction, 2025, 12(1): 1-11.
罗必雄，胡均亮，杨亚军，等. 计及纵向扰动稳定的高空风电系统建模与稳定运行控制方法[J]. 南方能源建设，2025，12（1）：1-11.. DOI： 10.16516/j.ceec.2024-306.

LUO Bixiong, HU Junliang, YANG Yajun, et al. Modeling and Stable Operation Control Method for Airborne Wind Energy System Considering Longitudinal Disturbance Stability[J]. Southern energy construction, 2025, 12(1): 1-11. DOI： 10.16516/j.ceec.2024-306.

摘要

目的

方法

结果

结论

Abstract

Objective

Method

Result

Conclusion

关键词

Keywords

references

HUANG L L, SHI X H, FU Y, et al. Ultra-short-term power prediction for offshore wind farms based on dual channel graph convolution network model [J]. Automation of electric power systems, 2024, 48(15): 64-72. DOI: 10.7500/AEPS20231101006.

黄玲玲, 石孝华, 符杨, 等. 基于DCGCN模型的海上风电场超短期功率预测 [J]. 电力系统自动化, 2024, 48(15): 64-72. DOI: 10.7500/AEPS20231101006.

HUANG Sui, CAI Yanfeng, WANG Jun, et al. Applicability analysis of sea surface wind field data for Yangjiang offshore wind farm in Guangdong Province [J]. Southern energy construction, 2024, 11(6): 111-123. DOI: 10.16516/j.ceec.2024.6.12.

黄穗, 蔡彦枫, 王俊, 等. 海面风场资料在广东省阳江海上风电场区域的适用性 [J]. 南方能源建设, 2024, 11(6): 111-123. DOI: 10.16516/j.ceec.2024.6.12.

LI Q W, WANG J Z, ZHANG H P. Comparison of the goodness-of-fit of intelligent-optimized wind speed distributions and calculation in high-altitude wind-energy potential assessment [J]. Energy conversion and management, 2021, 247: 114737. DOI: 10.1016/j.enconman.2021.114737.

CHERUBINI A, PAPINI A, VERTECHY R, et al. Airborne wind energy systems: a review of the technologies [J]. Renewable and sustainable energy reviews, 2015, 51: 1461-1476. DOI: 10.1016/j.rser.2015.07.053.

VERMILLION C, COBB M, FAGIANO L, et al. Electricity in the air: insights from two decades of advanced control research and experimental flight testing of airborne wind energy systems [J]. Annual reviews in control, 2021, 52: 330-357. DOI: 10.1016/j.arcontrol.2021.03.002.

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. DOI: 10.16513/j.2096-2185.DE.2409101.

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. DOI: 10.16513/j.2096-2185.DE.2409101.

FAGIANO L, QUACK M, BAUER F, et al. Autonomous airborne wind energy systems: accomplishments and challenges [J]. Annual review of control, robotics, and autonomous systems, 2022, 5: 603-631. DOI: 10.1146/annurev-control-042820-124658.

CAI Y F, LI X Y. High-altitude wind field observation of airborne wind energy system [J]. Southern energy construction, 2024, 11(1): 1-9. DOI: 10.16516/j.ceec.2024.1.01.

蔡彦枫, 李晓宇. 面向空中风力发电系统的高空风场观测 [J]. 南方能源建设, 2024, 11(1): 1-9. DOI: 10.16516/j.ceec.2024.1.01.

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. DOI: 10.3969/j.issn.2095-560X.2020.06.005.

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. DOI: 10.3969/j.issn.2095-560X.2020.06.005.

ZHOU L, SHI W, ZHANG S H, et al. Numerical analysis of hydrodynamic characteristics of monopile-type OWT under breaking wave [J]. Southern energy construction, 2020, 7(3): 70-80. DOI: 10.16516/j.gedi.issn2095-8676.2020.03.009.

周林, 施伟, 张松浩, 等. 破碎波作用下单桩式海上风机水动力学数值分析 [J]. 南方能源建设, 2020, 7(3): 70-80. DOI: 10.16516/j.gedi.issn2095-8676.2020.03.009.

KANE T R, LEVINSON D A. The use of Kane's dynamical equations in robotics [J]. The international journal of robotics research, 1983, 2(3): 3-21. DOI: 10.1177/027836498300200301.

DONOHUE B, BEKNALKAR S, BRYANT M, et al. A dynamic model for underwater propulsion of an amphibious rover developed from Kane's method [C]// Anon. ASME International Mechanical Engineering Congress and Exposition, New Orleans, USA, October 29-November 2, 2023. New Orleans: American Society of Mechanical Engineers, 2023: V006T07A012. DOI: 10.1115/IMECE2023-113559.

BANERJEE A. Flexible multibody dynamics: efficient formulations with applications [M]. Boca Raton: CRC Press, 2022. DOI: 10.1201/9781003231523.

SHANG D Y, HUANG X Y, HUANG Y S, et al. Research on rigid-flexible coupling dynamics of Delta parallel robot based on Kane equation [J]. Journal of mechanical engineering, 2024, 60(7): 124-133. DOI: 10.3901/JME.2024.07.124.

商德勇, 黄欣怡, 黄云山, 等. 基于Kane方程的Delta并联机器人刚柔耦合动力学研究 [J]. 机械工程学报, 2024, 60(7): 124-133. DOI: 10.3901/JME.2024.07.124.

SOBIE E A. An introduction to MATLAB [J]. Science signaling, 2011, 4(191): tr7. DOI: 10.1126/scisignal.2001984.

ATTAWAY S. MATLAB: a practical introduction to programming and problem solving (6th ed. ) [M]. Waltham: Butterworth-Heinemann, 2022.

KARRIS S T. Introduction to Simulink with engineering applications [M]. Orchard Publications, 2006.

HORRI N, PIETRASZKO M. A tutorial and review on flight control co-simulation using Matlab/Simulink and flight simulators [J]. Automation, 2022, 3(3): 486-510. DOI: 10.3390/automation3030025.

LIU K L, GAO Y Z, ZHU C, et al. Electrochemical modeling and parameterization towards control-oriented management of lithium-ion batteries [J]. Control engineering practice, 2022, 124: 105176. DOI: 10.1016/j.conengprac.2022.105176.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Design and Performance Study of SOFC-"GT+ST" System Based on Hydrogen Fuel

Review on the Research Progress of Primary Frequency Modulation Technology for Thermal Power Units

Research Progress of Flywheel Energy Storage Technology and Its Coupling Power Generation

Exergy Analysis of Heat Regenerative System in a Typical Power Plant at Various Load Conditions

Related Author

Puyan ZHENG

Haisen YANG

Xia CHENG

Jiagang SONG

Huajian LI

Yunrui CHENG

Jinxing WANG

Shuzhou WEI

Related Institution

China Energy Engineering Group Guangdong Electric Power Design Institute Co., Ltd.

College of Energy and Power Mechanical Engineering, Shanghai University of Electric Power

Guodian Electric Power Development Co., Ltd.

School of Energy, Power and Mechanical Engineering, North China Electric Power University

College of Zhongran, Hebei Normal University

AI问答

⁰