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一种锅炉优化系统及经济性分析
引用本文:郭艳芬,王国忠.一种锅炉优化系统及经济性分析[J].南京工程学院学报(自然科学版),2012,10(2):46-50.
作者姓名:郭艳芬  王国忠
作者单位:1. 北京工业职业技术学院基础部,北京,100042
2. 中国国电集团公司,北京,100034
摘    要:供电煤耗是发电企业经济性考核的重要指标.本文介绍一种基于人工神经网络技术和专家系统的锅炉性能优化系统,根据用户需求进行多目标优化,实现在线开环指导或闭环控制锅炉优化运行,降低供电煤耗,解决了锅炉性能全面优化的难题.同时介绍该系统在电厂的应用及经济性分析.

关 键 词:供电煤耗  人工神经网络  多目标优化

An Optimization System for Boilers and Its Economic Analysis
GUO Yan-fen,WANG Guo-zhong.An Optimization System for Boilers and Its Economic Analysis[J].Journal of Nanjing Institute of Technology :Natural Science Edition,2012,10(2):46-50.
Authors:GUO Yan-fen  WANG Guo-zhong
Institution:1.Dept.of Basic Courses,Beijing Polytechnic College,Beijing 100042,China; 2.China Guodian Corporation,Beijing 100034,China)
Abstract:Net coal consumption is an important economic index for power plants.This paper introduces an optimization system for boiler performance based on artificial neural network technology and expert system technology.According to customers’ needs,the system is multi-objectively optimized,which can be run and directed by online open-loop or closed-loop optimal control.This system can reduce net coal consumption and solves the problem of overall optimization of boiler performance.This paper also introduces the application of this system in power plants and its economic analysis.
Keywords:net coal consumption  artificial neural network  multi-objective optimization
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