A case study of space-time performance comparison of wind turbines on a wind farm

RENEWABLE ENERGY

卷:171

Article

Ding, Yu¹  Kumar, Nitesh¹  Prakash, Abhinav¹  Kio, Adaiyibo E.¹  Liu, Xin²  Liu, Lei²  Li, Qingchang² 

[1] Texas A&M Univ, Dept Ind & Syst Engn, College Stn, TX 77843 USA

[2] Beijing TianRun New Energy Investment Corp Ltd, CSC Fortune Int Ctr, F22-23,5 Anding Rd, Beijing 100029, Peoples R China

关键词: Data science;    Machine learning;    Power production performance;    Wind farms;    Wind turbines;   

DOI  :  10.1016/j.renene.2021.02.136

来源: Elsevier

【 摘 要 】

This paper presents an academia-industry joint case study, which was conducted to quantify and compare multi-year changes in power production performance of multiple turbines scattered over a midsize wind farm. This analysis is referred to as a space-time performance comparison. One key aspect in power performance analysis is to have the wind and environmental inputs controlled for. This research employs, in a sequential fashion, two principal modeling components to exercise tight control of multiple input conditionsda covariate matching method, followed by a Gaussian process model-based functional comparison. The analysis method is applied to a wind farm that houses 66 turbines on a moderately complex terrain. The power production and environmental data span nearly four years, during which period the turbines have gone through multiple technical upgrades. The space-time analysis presents a quantitative and global picture showing how turbines differ relative to each other as well as how each of them changes over time. ? 2021 Elsevier Ltd. All rights reserved.

【 授权许可】

Free