WIND TURBINE POWER CURVE CONSTRUCTION BASED ON CORRELATION VECTOR INFORMATION ENTROPY

Fu Deyi; Gao Shiqiao; Kong Lingxing; Jia Haikun

doi:10.19912/j.0254-0096.tynxb.2021-0228

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (5) : 252-259. DOI: 10.19912/j.0254-0096.tynxb.2021-0228

WIND TURBINE POWER CURVE CONSTRUCTION BASED ON CORRELATION VECTOR INFORMATION ENTROPY

Fu Deyi^1,2, Gao Shiqiao¹, Kong Lingxing², Jia Haikun²

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Abstract

Simulation is carried out to research the key influencing factors of wind turbine power output characteristics, such as turbulence intensity, air density, yaw error, and also the inner implicit relationship with the power curve, to establish the implicit relationship sub-model, and realize the construction of the wind turbine operating power curve based on the correlation vector information entropy technology and operation data. Comparison of annual energy production is carried between the constructed power curve and the actual output, which shows that construction method based on the correlation vector information entropy can realize the true evaluation of the operating power output characteristics of wind turbine, meanwhile the evaluation error is less than 2%.

Key words

wind turbines / correlation vector / information entropy / power curve construction

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Fu Deyi, Gao Shiqiao, Kong Lingxing, Jia Haikun. WIND TURBINE POWER CURVE CONSTRUCTION BASED ON CORRELATION VECTOR INFORMATION ENTROPY[J]. Acta Energiae Solaris Sinica. 2022, 43(5): 252-259 https://doi.org/10.19912/j.0254-0096.tynxb.2021-0228

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