Analyzing wind turbine directional behavior: SCADA data mining techniques for efficiency and power assessment

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• 作者：Francesco Castellani^a ; ^{francesco.castellani@unipg.it} ; Davide Astolfi^a ; Paolo Sdringola^a ; Stefania Proietti^b ; Ludovico Terzi^c
• 关键词：Wind energy ; Wind turbines ; SCADA control system ; Performance evaluation
• 刊名：Applied Energy
• 出版年：2017
• 出版时间：1 January 2017
• 年：2017
• 卷：185
• 期：part_P2
• 页码：1076-1086
• 全文大小：1650 K
• 卷排序：185

文摘

The directional behavior of four turbines of an onshore wind farm is investigated. The positions of the nacelles are discretized to highlight clusterization effects. The recurrent alignment patterns of the cluster are individuated and analyzed. The patterns are studied by the point of view of efficiency and power output. Significative performance deviations arise among the most frequent configurations.