基于遗传算法的锅炉效率优化在电厂耗差分析系统中的应用  

Optimization of boiler efficiency based on genetic algorithm and its application in the energy-loss analysis system in thermal power plants

作　　者：甄志[1] 陈鸿伟[1] 李永华[1] 吉云[1] 陈宇[2] 

机构地区：[1]华北电力大学动力系,河北保定071003 [2]福建电力试验研究院,福建福州350001

出　　处：《中国电力》2003年第10期21-24,共4页Electric Power

摘　　要：为解决电厂耗差分析系统中锅炉侧运行参数基准值的问题,结合神经网络和遗传算法技术,建立了锅炉效率优化模型,对飞灰合碳量进行在线预测,同时确定锅炉效率、排烟含氧量等参数的最优值,为通过调整运行参数提高锅炉效率提供了有效手段。基于此模型开发的耗差分析系统能有效改善运行人员的操作水平和全厂运行管理水平。In order to determine the operating standard value of boiler parameters in the energy-loss analysis system of thermal power plants, combining the neural network with genetic algorithm, optimization model of boiler efficiency is built. By using this model, fly ash carbon content is forecasted on line, meanwhile the optimization values of boiler efficiency and flue gas oxygen content etc. are determined, so as to provide a powerful approach to improve the boiler efficiency by adjusting the boiler operating parameters .The application of the energy-loss analysis system based on the model shows that the operation level of operators and the management level of whole plant are also ameliorated.

关 键 词：电厂 锅炉效率 优化 耗差分析系统 遗传算法 

分 类 号：TM621[电气工程—电力系统及自动化]