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.
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.
出处
《南京工程学院学报（自然科学版）》
2012年第2期46-50,共5页
Journal of Nanjing Institute of Technology(Natural Science Edition)
关键词
供电煤耗
人工神经网络
多目标优化
net coal consumption
artificial neural network
multi-objective optimization
