Posters - WindEurope Technology Workshop 2022
Resource Assessment & Analysis of Operating Wind Farms 2022
23-24 June • Brussels


Come meet the poster presenters to ask them questions and discuss their work

Check the programme for our poster viewing moments. For more details on each poster, click on the poster titles to read the abstract.

PO010: Performance Analysis of Wind Farm with SCADA data: from the methodology to a case study

Gang Huang, Research engineer, Meteodyn


With a large number of wind farms operating over years, the performance analysis of those farms becomes an important subject. This study tries to propose a general methodology to address this issue and a case study to demonstrate its application. * Firstly, the failure in measurement system must be detected at the first step. It could be separated into 2 categories: data missing and data erroneous. After being detected, those measurement failure datapoints will be excluded from further analysis. * Secondly, the total dataset after measurement failure detection will be classified into 7 categories: normal, stop, curtailment, partial stop & partial curtailment (transition between stop/curtailment and normal), over production and under production: output power lower than expected * The calculation of the real power curve is implemented on normal datapoint only, with the respect to the IEC-61400-12-1 standard. Air density correction is implemented on the wind speed if the measurement of temperature, humidity and pressure are available. * Then, the losses are estimated by applying the measured speed (corrected if possible) to the real power curve determined in the previous step. * At last, in order to have a general view on the performance of wind turbines, several KPIs are calculated. A case study: La Haute Borne Wind Farm Firstly, the measurement failure is detected and classified based on the cause. Currently, our algorithm is capable to detect 14 types of measurement failure.