摘要
为了评估新能源AGC机组的综合性能,提出了基于Rank boost算法的综合性能评估方法。首先,从新能源AGC机组的投运、目标跟踪、调节速度和调频参与度四个角度出发,构建新能源AGC性能指标体系;之后,结合指标体系的特点,采用无监督的机器学习方法Rank boost开展综合性能评估;最后,结合某地区AGC机组的历史统计数据,对该方法的有效性进行了分析。
In order to evaluate the comprehensive performance of new energy AGC units,this paper presents a comprehensive performance evaluation method based on Rank boost algorithm.First of all,from the four angles of putting into operation of new energy AGC units,target tracking,regulating speed and frequency regulation participation,the performance index system of new energy AGC is constructed,and an unsupervised machine learning method Rank boost is used for comprehensive performance evaluation.Finally,the effectiveness of the method is analyzed based on the historical statistical data of AGC units in a certain region.
作者
杨志学
宋兴荣
李振文
任洲洋
YANG Zhixue;SONG Xingrong;LI Zhenwen;REN Zhouyang(Chongqing University,Chongqing 400044,China;State Key Laboratory of Power Transmission Equipment&System Security and New Technology,Chongqing 400044,China;State Grid Hunan Electric Power Company Limited Research Institute,Changsha 410007,China;State Grid Hunan Electric Power Company Limited,Changsha 410004,China)
出处
《湖南电力》
2021年第2期41-45,共5页
Hunan Electric Power