河北工业科技2017,Vol.34Issue(2):127-131,5.DOI:10.7535/hbgykj.2017yx02009
基于时间序列分析的火电机组运行优化研究
Research of operation optimization of thermal power unit based on time series analysis
摘要
Abstract
In order to predict the thermal power generating units in operation status under the optimal value,improve the efficiency of coal-fired power plant,according to the data of three months,through the analysis and mining of coal-fired power plants and coal supply rate closely related to the control parameters (this paper mainly introduces the main steam temperature,steam pressure) with time change,it's forecasted by using Holt-Winters time series.It is found that the relative error of the main steam temperature and the main steam pressure obtained by the Holt-Winters method is 0.28% and 2.13%.The experimental results show that the Holt-Winters time series method to predict the operation data of thermal power units in coal-fired power plant under changing condition is reasonable,and the error is small,providing a certain significance to improve the efficiency of coal-fired thermal power units for coal-fired power plants.关键词
煤炭能/Holt-Winters/燃煤火电厂/数据挖掘/数据分析/预测Key words
coal energy/Holt-Winters/coal-fired power plant/data mining/data analysis/prediction分类
信息技术与安全科学引用本文复制引用
朱龙霞,肖明美,栗涛,许云峰,马瑞,刘滨..基于时间序列分析的火电机组运行优化研究[J].河北工业科技,2017,34(2):127-131,5.基金项目
国家自然科学基金(71271076) (71271076)