There exist a lot of outliers in the wind power scatter diagram, which due to communication failure, equipment abnormality, artificial power limitation, and other reasons in the actual operation of wind turbines. These outliers have an adverse effect on performance and status evaluations for wind turbines seriously. Firstly, the reasonable power offset ranges are calculated using the affine algorithm, which considers actual engineering characteristics, e.g., forecast error and topographic difference. Besides, the quartering algorithm is applied for clearing the scattered outliers. Furthermore, the affine-quartile combined algorithm is presented to realize advantageous complementarities and attain accurate data of the wind power scatter diagram. Finally, Case studies show that the proposed affine-quartile algorithm, with consideration of actual engineering characteristics, can improve the coverage and accuracy of outlier detection.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.