YAN Ting-yu. Analysis of Wind Turbine Loss Based on 10-minute Data ——Taking No.23 Fan of K Wind Farm in January 2016 as an Example[J]. 智能建筑与智慧城市, 2025, (S2): 545-547.
DOI:
YAN Ting-yu. Analysis of Wind Turbine Loss Based on 10-minute Data ——Taking No.23 Fan of K Wind Farm in January 2016 as an Example[J]. 智能建筑与智慧城市, 2025, (S2): 545-547. DOI: 10.13655/j.cnki.ibci.2025.S2.171.
Analysis of Wind Turbine Loss Based on 10-minute Data ——Taking No.23 Fan of K Wind Farm in January 2016 as an Example
Lean management of wind farms is crucial for enhancing economic efficiency
with accurate quantification of power generation losses and analysis of their causes being a core aspect. Based on the 10-minute SCADA data of Turbine No. 23 in the K Wind Farm in January 2016
this study proposes a complete quantitative analysis method for the power generation losses in wind turbines. The relationships among theoretical power generation
actual power generation
and power loss of the wind turbine during January are analyzed. The feasibility of quantifying power loss electricity based on 10-minute SCADA data is verified
providing data support and a decision-making basis for wind farms to optimize maintenance strategies
improving equipment availability
and enhancing coordinate operation of the power grid.
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references
Global Wind Energy Council (GWEC) . Global Wind Report 2023 [R ] . Brussels, Belgium ; 2023 .