Study on the correlation of wind turbine variables under different conditions

doi:10.3969/j.issn.2097-0706.2022.12.007

Abstract

Abstract:

Due to the support of government policies and the maturity of power generation technology， the offshore wind power industry has developed rapidly in recent years. In order to monitor the states of wind turbines and predict the possible high power， the correlations between wind turbine variables are studied. The SCADA system data of an offshore wind farm in Guangdong under all working conditions were collected firstly，to explore the Pearson correlation coefficient， Spearman rank correlation coefficient and Copula entropy of the important state variables of the offshore wind turbines and their applications in variable correlation description. By observing the scatter diagrams of the correlation state variables and analyzing the correlation coefficients numerically， the consistency of the three coefficients in describing the correlation of variables is obtained. Considering the influence of different operating conditions on wind turbine operating characteristics and the superiority of Copula entropy in variable correlation study， a working condition identification method based on K-means is proposed， and wind speed difference，a derived state variable varying with wind turbine operating characteristics，is presented. The correlations of characteristic state variables under working conditions classified by K-means algorithm are analyzed. The results show that the operating characteristics of wind turbines under various working conditions were greatly different， and the correlations of characteristic variables are varied， which should to be analyzed by case.

Key words: wind turbine, variable correlation, Copulas entropy, offshore wind power, clean energy

CLC Number:

TK89

CUI Shuangshuang, SUN Shanxun. Study on the correlation of wind turbine variables under different conditions[J]. Integrated Intelligent Energy, 2022, 44(12): 49-55.

Figures/Tables 6

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Table 1

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Table 2

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状态参数	相关系数
状态参数	Pearson系数	Spearman系数	Copula熵
风速	0.964 072	0.987 202	0.994 263
风速差分	0.163 991	0.203 150	-0.080 865
轴箱温度	0.590 713	0.520 675	0.118 063
发电机绕组温度	0.962 151	0.946 291	1.152 315
桨叶角度	0.155 169	0.487 964	-0.088 160
扭缆角度	-0.245 722	-0.287 857	-0.064 423

变量	Copula熵
变量	工况1	工况2	工况3	工况4	工况5
风速	0.970 337	0.927 549	1.082 895	1.131 050	0.263 833
风速差分	-0.072 644	-0.032 224	-0.073 496	-0.083 175	-0.117 486
轴箱温度	-0.079 670	-0.091 030	0.151 742	0.086 197	-0.072 402
桨叶角度	-0.058 844	-0.083 841	-0.097 249	-0.111 900	0.232 762
扭缆角度	-0.078 972	-0.154 075	-0.121 333	-0.083 636	-0.093 983
发电机绕组温度	0.239 652	0.180 823	0.726 258	0.744 076	0.554 680