基于WSVM的火电机组能效寻优及运行状态评价  

Energy Efficiency Optimization and Operating Status Evaluation of Thermal Power Units based on WSVM

作　　者：王志杰 吕当振 田红[2] 刘帅 WANG Zhijie;LYU Dangzhen;TIAN Hong;LIU Shuai(State Grid Hunan Electric Power Company Limited Research Institute,Changsha,China,410031;School of Energy and Power Engineering,Changsha University of Science and Technology,Changsha,China,410114)

机构地区：[1]国网湖南省电力有限公司电力科学研究院,湖南长沙410031 [2]长沙理工大学能源与动力工程学院,湖南长沙410114

出　　处：《热能动力工程》2025年第2期67-75,共9页Journal of Engineering for Thermal Energy and Power

基　　金：国网湖南省电力有限公司科技项目(5216A521N00H);国家自然科学青年基金项目(52006016)。

摘　　要：为了提升火电机组在全工况范围内的能效水平,提出了基于加权支持向量机(WSVM)的火电机组能效寻优及运行状态评价方法:首先,利用机组运行数据,依据稳定性判据和样本密度法筛除非稳态及异常工况下的运行数据;其次,采用能效择优方法确定模型训练时的样本权重,利用WSVM建立火电机组能效寻优模型,依据该模型获得火电机组各工况下主要指标及参数最优值;最后,在机组运行过程中,将获得的最优值与过程值进行对比,并通过构建的Mandani模糊评价模型实现对机组运行状态的实时量化评价。通过对某660 MW超临界火电机组的应用实例表明:在30%~100%额定负荷区间,基于WSVM方法获得的最优供电煤耗较聚类算法低0.9~4.8 g/(kW·h),能较好地反映火电机组能效最优状态,为判断机组节能降耗空间提供依据;基于模糊模型的状态评价,可为火电机组运行优化调整提供指导。In order to improve the energy efficiency level of thermal power units across all operating conditions,a method was proposed for energy efficiency optimization and operation status evaluation of thermal power units based on weighted support vector machine(WSVM).Firstly,using the unit operation data,the operation data under unsteady state and abnormal conditions were screened based on stability criteria and sample density.Secondly,adopting the energy efficiency optimization method to determine the sample weights during model training,and then using WSVM to establish an energy efficiency optimization model for thermal power units;Based on the model,the optimal values of the main monitoring indices and parameters for each operating condition of the thermal power unit were obtained.Finally,during the operation of the unit,the optimal values were compared with the process values,and the Mandani fuzzy evaluation model was constructed to achieve real-time quantitative evaluation of the unit′s operating status.An application example of a 660 MW supercritical thermal power unit shows that the optimal coal consumption for power supply obtained by the proposed WSVM method is 0.9-4.8 g/(kW·h)lower than that of the clustering algorithm in the 30%-100%rated load range,which can better reflect the optimal energy efficiency state of the thermal power unit,providing a basis for judging the energy-saving and consumption reducing space of the unit.The state evaluation results based on fuzzy models can provide guidance for the operation optimization and adjustment of thermal power units.

关 键 词：火电机组 加权支持向量机 能效 模糊模型 状态评价 

分 类 号：TM621[电气工程—电力系统及自动化]