摘要
电站锅炉的燃烧过程在能源生产中占据重要地位,其效率和稳定性直接关系到电力供应的可靠性。为提高电站锅炉燃烧效能,文章深入分析了燃烧原理、影响因素和关键控制参数,并在此基础上,探讨了一系列锅炉燃烧优化控制策略。通过引入神经网络预测控制、模糊控制和多变量协调控制等关键技术,旨在提出一种全面、高效的电站锅炉燃烧优化解决方案。对未来电站锅炉燃烧优化控制技术的发展趋势进行了展望,以期为相关领域的研究提供有益的参考。
The combustion process of power plant boilers plays an important role in energy production,and their efficiency and stability are directly related to the reliability of power supply.In order to improve the combustion efficiency of power plant boilers,the article deeply analyzes the combustion principle,influencing factors,and key control parameters,and based on this,explores a series of boiler combustion optimization control strategies.Secondly,by introducing key technologies such as neural network predictive control,fuzzy control,and multivariable coordinated control,the aim is to propose a comprehensive and efficient combustion optimization solution for power plant boilers.Finally,the development trend of combustion optimization control technology for future power plant boilers was discussed,in order to provide useful references for research in related fields.
作者
叶青
蓝佳雄
董潮元
YE Qing;LAN Jiaxiong;DONG Chaoyuan
出处
《电力系统装备》
2024年第2期77-79,共3页
Electric Power System Equipment
关键词
电站锅炉
燃烧优化
控制策略
神经网络
power plant boiler
combustion optimization
control strategy
neural network
