WIND DIRECTION MODELING CONSIDERING SECTOR DIVISION

Xin Xinyao, Wang Jianwen, Zhao Yu, Yin Jiujun, Ren Biao, Zhang Peng

Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (11) : 311-316.

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (11) : 311-316. DOI: 10.19912/j.0254-0096.tynxb.2021-0046

WIND DIRECTION MODELING CONSIDERING SECTOR DIVISION

  • Xin Xinyao1, Wang Jianwen1,2, Zhao Yu1, Yin Jiujun1, Ren Biao1, Zhang Peng1
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Abstract

In this paper, the method of wind direction sector division is considered, by calculating the time dimension variation of wind direction in a specified period of time, the transfer probability matrix model of natural wind direction change under typical wind conditions in Hohhot suburb is constructed by using the theory of statistical method, Markov chain model and the measured natural wind data of the experimental base, based on this model, a random time series is generated to verify it in reverse, the purpose is to establish a more complete wind modeling.

Key words

wind turbines / natural wind / wind direction modeling / Markov chain / sector partition / wind direction change

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Xin Xinyao, Wang Jianwen, Zhao Yu, Yin Jiujun, Ren Biao, Zhang Peng. WIND DIRECTION MODELING CONSIDERING SECTOR DIVISION[J]. Acta Energiae Solaris Sinica. 2022, 43(11): 311-316 https://doi.org/10.19912/j.0254-0096.tynxb.2021-0046

References

[1] 张果宇. 扇区管理在风电场设计和运行中的研究与应用[J]. 可再生能源, 2014, 32(4): 450-455.
ZHANG G Y.Research and application of sector management in wind farm design and operation[J]. Renewable energy, 2014, 32(4): 450-455.
[2] 任伟. 山地风电场风机扇区管理优化分析与探讨[J].南方能源建设, 2018, 5(S1): 255-261.
REN W.Analysis and discussion on optimization of wind turbine sector management in mountain wind farm[J]. Southern energy construction, 2018, 5(S1): 255-261.
[3] 包道日娜, 霍亚楠, 张晓阳, 等. 风力发电机组性能测试中风速有效扇区计算方法的研究[J]. 中国农机化学报, 2016, 37(4): 241-245.
BAO D R N, HUO Y N, ZHANG X Y,et al. Research on calculation method of wind speed effective sector in wind turbine performance test[J]. Journal of Chinese of agricultural mechanization, 2016, 37(4): 241-245.
[4] 刘志远, 李良县, 何一, 等. 一种基于概率统计的平均风向计算方法[J] . 可再生能源, 2017, 35(7): 1059-1065.
LIU Z Y, LI L X, HE Y, et al.A calculation method of average wind direction based on probability and statistics[J]. Renewable energy, 2017, 35(7): 1059-1065.
[5] 范文亮, 李正良, 张培. 风向风速的联合概率结构建模[J]. 土木工程学报, 2012, 45(4): 81-90.
FAN W L, LI Z L, ZHANG P.Joint probabilistic structural modeling of wind direction and wind speed[J]. Acta civil engineering sinica, 2012, 45(4): 81-90.
[6] LANG M N, LISA S, TORSTEN H, et al. Circular regression trees and forests with an application to probabilistic wind direction forecasting, 2020, 69(5): 1357-1374.
[7] 祝牧, 刘吉臻, 林忠伟. 基于随机Markov链的风向时间序列模型研究[J]. 现代电力, 2016, 33(3): 1-7.
ZHU M, LIU J Z, LIN Z W.Wind direction time series model based on stochastic Markov chain[J]. Modern electric power, 2016, 33(3): 1-7.
[8] 季亮, 谭洪卫, 王亮. 基于马尔可夫链的自然风风向建模[J]. 中南大学学报(自然科学版), 2012, 43(8): 3274-3279.
JI L, TAN H W, WANG L.Modeling of natural wind direction based on Markov chain[J] . Journal of Central South University (natural science edition), 2012, 43(8): 3274-3279.
[9] KHOSRAVI A, KOURY R N N, MACHADO L, et al. Prediction of wind speed and wind direction using artificial neural network, support vector regression and adaptive neuro-fuzzy inference system[J]. Sustainable energy technologies and assessments, 2018, 25: 146-160.
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