火电厂锅炉热效率优化调整软件的开发  

Development of boiler heat efficiency optimization system

作　　者：周昊[1] 郑立刚[1] 翁安心[1] 岑可法[1] 

机构地区：[1]能源清洁利用和环境工程教育部重点实验室浙江大学热能工程研究所,浙江杭州310027

出　　处：《中国电力》2004年第2期29-31,共3页Electric Power

基　　金：国家重点基础研究专项经费资助项目(G2001CB409600);国家自然科学基金资助项目(50206018)

摘　　要：大型燃煤电厂锅炉热效率目前通常依靠燃烧试验调整优化,现场试验耗时费力,而且由于锅炉输入输出特性复杂,耦合性强,燃用煤种和操作条件变化较大,通过试验进行燃烧优化往往效果不佳。介绍开发的一种设计软件,它利用人工神经网络对锅炉特性建模,并采用遗传算法进行最佳运行工况寻优,可获得目前最佳的锅炉燃烧调整方式,实现锅炉的节能降耗。The heat efficiency of large size coal-fired utility boilers is usually optimized by using combustion test and adjustment, the word is heavy and time-consuming. Because the input and output characteristics of boiler are complicated, the coal rank and boiler operating conditions change often, and the coupling effect is strong, so the results of: combustion optimization through tests are not so good often. This paper introduces a kind of developed design software, which uses artificial neural network to set up a boiler property model, and employs genetic algorithm to optimize the working conditions, so as to obtain currently optimum combustion adjustment mode of boiler, with energy saved and consumption reduced.

关 键 词：火电厂 锅炉 热效率 优化调整软件 软件开发 

分 类 号：TM769[电气工程—电力系统及自动化]