FAULT IDENTIFICATION METHOD FOR WIND FARM COLLECTING LINES BASED ON DOUBLE DECISION THEORY

Gao Xing; Wang Xiaodong; Liu Yingming

doi:10.19912/j.0254-0096.tynxb.2024-0113

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (5) : 531-538. DOI: 10.19912/j.0254-0096.tynxb.2024-0113

FAULT IDENTIFICATION METHOD FOR WIND FARM COLLECTING LINES BASED ON DOUBLE DECISION THEORY

Gao Xing, Wang Xiaodong, Liu Yingming

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Abstract

A fault identification method for wind farm collecting lines based on the dual decision idea is proposed to address the issue of trade-off between identification accuracy and the mamberof measurement points caused by the multi branch structure of wind farms. This method is used to identify wind farm fault branches and their types in wind farms. Consider the unique tree like multi branch structure of wind farms for dividing fault collection lines. The upper-level decision is used to determine the collection line where the wind farm fails, while the lower level decision further facilitates fault branch identification and fault classification. The upper level decision-making is based on the concept of energy similarity to identify faulty collector lines, establish a fault decision matrix, narrow down the fault range, and does require manual threshold setting. The lower level decision-making is based on time-frequency response feature fusion to identify the fault branches and types in wind farms. A fault feature fusion matrix is established based on the characteristic state matrix of each phase at the dual end measurement points of the collection line to reduce the need for measurement points. This method only requires a small amount of measurement point data in the wind farm to achieve fault identification of multi branch structures in the wind farm, taking into account the effects of fault resistance, starting angle, fault location, and noise.

Key words

wind farms / convolutional neural networks / short circuit current / fault identification / fault classification

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Gao Xing, Wang Xiaodong, Liu Yingming. FAULT IDENTIFICATION METHOD FOR WIND FARM COLLECTING LINES BASED ON DOUBLE DECISION THEORY[J]. Acta Energiae Solaris Sinica. 2025, 46(5): 531-538 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0113

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