Abstract:Globally, the 77.6 GW of new wind power capacity was connected to power grids in 2022, bringing total installed wind capacity to 906 GW and a growth of 9% compared to 2021. In the research on wind speed assessment, there is a lack of unified measurement of wind speed over large regions or even the globe due to differences in measurement instruments and limitations in their long-term maintenance. Information about the characteristics of wind speeds on a broad and global scale is in demand for wind turbine regimes. Meanwhile, wind turbines are in large geometry and operate in wide-open environments, which are prone to lightning strikes and get damaged to shut down, even affecting the connected power grid with the output power of a single wind turbine increasing to several megawatts (16 MW for the world’s largest wind turbine in 2023). Different regions exhibit distinct characteristics of lightning activity, resulting in significant variations in the probability of lightning strikes to wind turbines. For instance, 5.6 out of 100 wind turbines are struck by lightning per year in coastal areas. In contrast, it is 14 of 100 wind turbines per year in mountainous regions. The acquisition of information about the lightning density over large regions or even the globe is also another driven call for the siting and operation of wind turbines. Wind farms prefer locations with excellent wind resources and fewer lightning strikes. The identification of regions with both great wind speed and low lightning strike density remains a challenge. To resolve such a challenge, we first need to address the question that, is there any correlation between wind speeds and lightning activity. If wind blowing interacts with lightning activities, the interactions will help find a path to identify the regions with both great wind speed and low lightning strike density. Therefore, we analyzed the distribution of wind speeds and lightning activity over Asia during three years (2017—2019). The lightning data and wind speeds are analyzed by matching both the time and space domains. A negative correlation between horizontal wind speeds and lightning activity has been found in Asia. Lightning activity is more frequent when the long-term average horizontal wind speed is above 2 m/s and below 5 m/s. The conclusions provide valuable information about wind speeds and lightning activity over Asia.
[1] 李阳, 沈小军, 张扬帆, 等. 基于速度-关联约束的风电机组风速感知异常数据识别方法[J]. 电工技术学报, 2023, 38(7): 1793-1807. Li Yang, Shen Xiaojun, Zhang Yangfan, et al.Cleaning method of wind speed outliers for wind turbines based on velocity and correlation constraints[J]. Transactions of China Electrotechnical Society, 2023, 38(7): 1793-1807. [2] 周歧斌, 史一泽, 王振兴, 等. 雷击碳纤维叶片的表面场强分布与附着特性研究[J]. 高压电器, 2022, 58(2): 17-24, 32. Zhou Qibin, Shi Yize, Wang Zhenxing, et al.Study on surface field intensity distribution and attachment characteristics of lightning stroke carbon fiber blades[J]. High Voltage Apparatus, 2022, 58(2): 17-24, 32. [3] Global Wind Energy Council. Global Wind Report2023[R/OL]. [2023-07-22]. https://gwec.net/globalwindreport2023/. [4] 白建华, 辛颂旭, 刘俊, 等. 中国实现高比例可再生能源发展路径研究[J]. 中国电机工程学报, 2015, 35(14): 3699-3705. Bai Jianhua, Xin Songxu, Liu Jun, et al.Roadmap of realizing the high penetration renewable energy in China[J]. Proceedings of the CSEE, 2015, 35(14): 3699-3705. [5] Landberg L, Myllerup L, Rathmann O, et al.Wind resource estimation - an overview[J]. Wind Energy, 2003, 6(3): 261-271. [6] 赵泽洋, 肖慈恩, 刘亚坤, 等. 接闪阳极参数对雷电弧材料损伤数值分析的影响[J]. 电工技术学报, 2024, 39(5): 1486-1496. Zhao Zeyang, Xiao Cien, Liu Yakun, et al.Influence of anode on numerical analysis of arc-material interactions with multi-field coupling in lightning damage[J]. Transactions of China Electrotech-nical Society, 2024, 39(5): 1486-1496. [7] 瞿海燕, 袁萍, 张华明, 等. 闪电放电过程的近红外光谱及温度沿放电通道的演化特征[J]. 地球物理学报, 2012, 55(8): 2508-2513. Qu Haiyan, Yuan Ping, Zhang Huaming, et al.Evolution characteristic of near-infrared spectra and temperature along the stroke channel of lightning discharge process[J]. Chinese Journal of Geophysics, 2012, 55(8): 2508-2513. [8] 周蜜, 苏小玮, 高俊福, 等. 雷电流A分量与C分量对碳纤维复合材料损伤特性差异[J]. 电工技术学报, 2022, 37(增刊1): 297-306. Zhou Mi, Su Xiaowei, Gao Junfu, et al.Differences in damage characteristics of lightning current components A and C to carbon fiber reinforced polymer[J]. Transactions of China Electrotechnical Society, 2022, 37(S1): 297-306. [9] Candela Garolera A, Madsen S F, Nissim M, et al.Lightning damage to wind turbine blades from wind farms in the U.S.[J]. IEEE Transactions on Power Delivery, 2016, 31(3): 1043-1049. [10] 郭子炘, 李庆民, 任瀚文, 等. 基于雷电上行先导起始物理机制的风机叶片雷击概率评估模型[J]. 中国电机工程学报, 2018, 38(2): 653-662, 696. Guo Zixin, Li Qingmin, Ren Hanwen, et al.Probabilistic risk assessment of lightning strike on wind turbine blades based on the physical mechanism of lightning upward leader inception[J]. Proceedings of the CSEE, 2018, 38(2): 653-662, 696. [11] 蓝磊, 姒天军, 王羽, 等. 雷电下转动风机叶片接闪特性模拟试验研究[J]. 电网技术, 2018, 42(4): 1328-1334. Lan Lei, Si Tianjun, Wang Yu, et al.Experimental study on lightning discharge characteristic of wind turbine’s rotating blades[J]. Power System Technology, 2018, 42(4): 1328-1334. [12] 师伟, 李庆民. 基于先导放电理论的雷击上行先导起始研究[J]. 中国电机工程学报, 2014, 34(15): 2470-2477. Shi Wei, Li Qingmin.Research on the lightning upward leader inception based on leader discharge theory[J]. Proceedings of the CSEE, 2014, 34(15): 2470-2477. [13] Chen Huaifei, Chen Weijiang, Wang Yu, et al.Analysis of the cloud-to-ground lightning characteristics before and after installation of the coastal and inland wind farms in China[J]. Electric Power Systems Research, 2021, 190: 106835. [14] Zipser E J, Lutz K R.The vertical profile of radar reflectivity of convective cells: a strong indicator of storm intensity and lightning probability?[J]. Monthly Weather Review, 1994, 122(8): 1751. [15] Zhu Y, Rakov V A, Tran M D, et al.Evaluation of ENTLN performance characteristics based on the ground truth natural and rocket-triggered lightning data acquired in Florida[J]. Journal of Geophysical Research (Atmospheres), 2017, 122(18): 9858-9866. [16] Liu Yakun, Wiiliams E, Montanyà J, et al,Global lightning environment for wind turbines in wind energy harvesting[R]. Boston: Applied Energy Symposium: MIT A+B, 2020. [17] Boccippio D J, Goodman S J, Heckman S.Regional differences in tropical lightning distributions[J]. Journal of Applied Meteorology, 2000, 39(12): 2231-2248. [18] Christian H J, Blakeslee R J, Boccippio D J, et al.Global frequency and distribution of lightning as observed from space by the optical transient detector[J]. Journal of Geophysical Research (Atmospheres), 2003, 108(D1): 4005. [19] Rakov V A, Uman M A.Lightning: Physics and Effects[M]. Cambridge: Cambridge University Press, 2003. [20] Albrecht R I, Goodman S J, Buechler D E, et al.Where are the lightning hotspots on earth?[J]. Bulletin of the American Meteorological Society, 2016, 97(11): 2051-2068. [21] Rachidi F, Rubinstein M, Montanya J, et al.A review of current issues in lightning protection of new-generation wind-turbine blades[J]. IEEE Transactions on Industrial Electronics, 2008, 55(6): 2489-2496. [22] International Electrotechnical Commission.Wind energy generation systems-part 1: design requirements: IEC 61400-1:2019[S]. IEC, 2019. [23] Montanyà J, Fabró F, van der Velde O, et al. Global distribution of winter lightning: a threat to wind turbines and aircraft[J]. Natural Hazards and Earth System Sciences, 2016, 16(6): 1465-1472. [24] Pryor S C, Barthelmie R J.A global assessment of extreme wind speeds for wind energy applications[J]. Nature Energy, 2021, 6: 268-276.