摘要
为提高某燃煤电站复杂供热系统的供热经济性,以复杂供热系统最佳背压和最佳供热抽汽流量为出发点,采用大数据分析方法,对供热系统历史运行数据进行筛选处理,同时利用随机森林算法建立电站各个供热单元的煤耗预测模型,预测系统实时煤耗量。将历史数据代入模型可以得到不同工况下供热系统总体煤耗量最小时所对应的最佳运行调控参数,即最佳背压和最佳供热抽汽流量。在保证全厂总供热量和总发电量不变的前提下,通过模型实时优化,可使全厂总煤耗平均降低约0.8~3.0 t标煤/小时。结果显示:通过仿真得到的优化结果较为稳定,且背压适当降低7~12.5 kPa有利于降低系统整体煤耗量;整个供热系统在低负荷时优化节能效果更加显著。
To improve the heating economy of a complex heating system of a coal-fired power station,taking the best back pressure and the best extraction steam flow of the complex heating system as the starting point,big data analysis method is adopted to screen and process the historical operating data of the heating system.Meanwhile,random forest algorithm is used to establish a coal consumption prediction model of each heating unit of the power station to predict the real-time coal consumption of the system.The optimal operating parameters corresponding to the minimum coal consumption of the heating system under different working conditions can be obtained by using the historical data,that is,the optimal back pressure and the optimal extraction steam flow.Under the premise that the total heat supply and total power generation of the whole plant remain unchanged,the total coal consumption of the whole plant can be reduced by 0.8~3.0 tons of standard coal/hour on average through the real-time optimization of the model.The results show that the optimization results obtained by simulation are relatively stable,and the appropriate reduction of back pressure by 7-12.5 kPa is conducive to reducing the overall coal consumption of the system.The optimization and energy-saving effect of the whole heating system is more significant at low load.
作者
李茂清
薛小军
太来提·吐尔洪
LI Maoqin;XUE Xiaojun;TAILAITI Tuerhong(Jilin Electric Power Co.,Ltd.,Changchun 130028,China;School of Electric Power and Architecture,Shanxi University,Taiyuan 030006,China;College of Energy and Power Machinery Engineering,North China University of Electric Power,Beijing 102206,China)
出处
《洁净煤技术》
CAS
CSCD
北大核心
2024年第S02期607-612,共6页
Clean Coal Technology
基金
国家自然科学基金资助项目(52276006)
关键词
供热系统
最佳背压
最佳抽汽量
随机森林
运行优化
Heating system
Optimum back pressure
Optimal extraction volume
Random forest
Operation optimization
