基于数据的风功率特性评估平台设计及实验研究  

Design and experimental research of wind power performance evaluation platform based on data

作　　者：李媛[1] 李进友 张鹏飞 邢作霞[2] LI Yuan;LI Jinyou;ZHANG Pengfei;XING Zuoxia(School of Science,Shenyang University of Technology,Shenyang 110870,China;School of Electrical Engineering,Shenyang University of Technology,Shenyang 110870,China;Academy of Mathematics,Physics and Electronic Information Engineering,Guangxi Normal University for Nationalities,Chongzuo 532200,China)

机构地区：[1]沈阳工业大学理学院,辽宁沈阳110870 [2]沈阳工业大学电气工程学院,辽宁沈阳110870 [3]广西民族师范学院数理与电子信息工程学院,广西崇左532200

出　　处：《实验室科学》2023年第2期15-21,共7页Laboratory Science

基　　金：辽宁省教育厅科研项目(项目编号:LZGD2017039)。

摘　　要：随着风电装机容量的迅猛增长,对风电机组的功率特性评估需求越来越高。基于数据挖掘技术,结合IEC标准的评估方法,设计了风电机组功率特性评估实验平台。该实验平台既涵盖了常规的数据清洗、数据插补、环境因素修正、 Bin方法等常规评估手段,又包括了贝叶斯岭回归、决策树回归等专业功率曲线评估方法。通过系列实验结果表明,实验平台评估分析得出的风功率曲线特性、发电量情况与风电机组实际运行情况基本吻合。同时,该实验平台对开展风电机组健康评估和风速、功率预测等进一步研究具有重要指导作用。With the rapid growth of wind power installed capacity,the demand for the assessment of wind turbine power performance is increasing.Based on data mining technology and IEC standards,a platform for wind turbine power performance evaluation has been designed.The experimental platform not only includes conventional assessment methods such as data cleaning,data interpolation,environmental factor correction,and BIN method,but also includes the advanced power curve assessment methods such as Bayesian ridge regression and decision tree regression.A series of experimental results show that the simulation and measurement results of power performance are consistent.In addition,the experimental platform plays an important guiding role in the further study of wind turbine health assessment and wind speed&power prediction.

关 键 词：风电机组 功率曲线 功率特性 性能评估 实验研究 

分 类 号：TM614[电气工程—电力系统及自动化]