多变边界条件下火电机组能耗基准状态诊断  

Energy-consumption Benchmark Diagnosis of Thermal Power Units Under Varying Operation Boundary

作　　者：王宁玲[1] 杨勇平[1] 杨志平[1] 

机构地区：[1]华北电力大学国家火力发电工程技术研究中心,北京市昌平区102206

出　　处：《中国电机工程学报》2013年第26期1-7,3,共7页Proceedings of the CSEE

基　　金：国家重点基础研究发展计划项目(973计划)(2009CB219801);国家自然科学基金联合基金项目(U1261210;71171080);中央高校基本科研业务费专项资金项目(12QN05)~~

摘　　要：运行于多变边界条件下给火电机组深度节能理论研究带来新的挑战。针对这一问题,提出了多变条件下火电机组能耗基准状态概念,利用机组的海量实际运行数据,基于模糊粗糙集(fuzzy rough set,FRS)约简和模糊均值聚类(fuzzy C mean,FCM)等数据挖掘方法构建机组性能优化知识库,在可比历史边界条件下动态寻优确定机组能耗基准状态。以某600MW亚临界机组为案例开展了实例研究,结果表明该方法具有快速、自适应性、高度复现性和可动态调整优化等特点,适用于机组在不同工况和边界条件下的能耗分析与节能诊断。The in-depth energy conservation of thermal power units is confronting new challenges under the varying operation conditions and ambient constraints.Hence,a concept of energy-consumption benchmark state was proposed to describe the economic performance of thermal power units.According to the mass operation data storage in supervisory information system（SIS） of power units,and based on the data mining method,such as fuzzy rough set（FRS）-based decision table reduction and fuzzy C mean（FCM）-based clustering,the energy-consumption benchmark state was determined under the comparable operation boundary.The method was performed on a 600MW subcritical power unit.The results show that the proposed method is fast,adaptive,recurrent and automatically adjustable under different operation conditions and external constraints of power units.

关 键 词：火电机组 能耗基准状态 多变边界 数据挖掘 

分 类 号：TK124[动力工程及工程热物理—工程热物理] TK264[动力工程及工程热物理—热能工程]