摘要
主动感知火电机组的灵活供给能力对于新能源消纳及电力灵活调度有着重要意义。提出了一种基于数据驱动的火电机组灵活性综合评价方法:首先,确立了以弹性、响应性、经济性和环保性为评价指标,并明确了各指标中的评价因素;其次,利用大量的机组运行数据,通过模糊c-均值聚类算法和多项式拟合获得机组在日常运行区间各评价因素的表征值,并采用加权积分均值法实现对各评价因素的量化;最后,将熵权法和主观赋值法相结合,据此确定各评价指标的权重,进而实现对火电机组灵活性的综合评价。通过应用实例对所提方法的有效性进行了验证。
Sensing the flexible supply capacity of thermal power units actively is of great significance in promoting new energy consumption and enabling flexible dispatching of power grid.In this paper,a comprehensive evaluation method for thermal power unit flexibility based on data-drive was proposed.Firstly,flexibility,responsiveness,economy and environmental protection were selected as evaluation indexes,and the evaluation factors of each index were defined.Secondly,a significant volume of operating data were utilized to obtain the characterization values of each evaluation factor within the daily operation interval of the unit through fuzzy c-means clustering algorithm and polynomial fitting.Meanwhile,the quantization of each evaluation factor was achieved by a weighted integral mean method.Finally,the entropy weight method and subjective assignment method were combined to determine the weight of each evaluation index,thereby realizing comprehensive evaluation of thermal power unit flexibility.An instance was taken to verify the effectiveness of the proposed method.
作者
王志杰
陈文
朱晓星
王锡辉
WANG Zhijie;CHEN Wen;ZHU Xiaoxing;WANG Xihui(State Grid Hunan Electric Power Company Limited Research Institute,Changsha 410031,Hunan Province,China;Hunan Key Laboratory of High Efficiency Clean Power Generation Technology,Changsha 410031,Hunan Province,China;Hunan Xiangdian Test Research Institute Co.,Ltd.,Changsha 410031,Hunan Province,China)
出处
《现代电力》
北大核心
2024年第4期667-672,共6页
Modern Electric Power
基金
国网湖南省电力有限公司科技项目(5216A521N00H)。
关键词
数据驱动
火电机组
灵活性
权重系数
综合评价
data-driven
thermal power unit
flexibility
weight coefficient
comprehensive evaluation