基于小波分析的炉膛压力异常分析与处理  

Analysis and Processing of Furnace Pressure Abnormalities Based on Wavelet Analysis

作　　者：李恩长 何郁晟 韩峰 刘成柱 Li Enzhang;He Yusheng;Han Feng;Liu Chengzhu(Zhejiang Energy R&D Institute Co.,Ltd.,Hangzhou,311121,China;Zhejiang Key Laboratory of Energy Conservation&Pollutant Control Technology for Thermal Power,Hangzhou,311121,China;Zhejiang Zheneng Zhongmei Zhoushan Coal&Electricity Co.,Ltd.,Zhejiang,Zhoushan,316131,China)

机构地区：[1]浙江浙能技术研究院有限公司,杭州311121 [2]浙江省火力发电高效节能与污染物控制技术研究重点实验室,杭州311121 [3]浙江浙能中煤舟山煤电有限责任公司,浙江舟山316131

出　　处：《仪器仪表用户》2023年第11期91-94,共4页Instrumentation

摘　　要：针对某电厂炉膛压力异常的问题,本文利用小波分析方法分解其炉膛压力相关信号,并进行等尺度分析,同时使用连续小波时频图进行可视化分析。分析发现,一次风流量周期性波动、AGC工况下的煤量波动与炉膛压力的异常波动有较大相关性,通过解决空预器漏风问题,调整变负荷前馈,提高引风机动叶前馈等方法,提高了炉膛压力控制品质。In this paper,the wavelet analysis was used to decompose the signals related to furnace pressure in a certain power plant with correlation analysis at the same scale.Simultaneously,continuous wavelet magnitude scalogram were employed for visual analysis.The analysis revealed that there are two factors contributing to the abnormal furnace pressure:periodic fluctuations in primary air flow and coal variations under AGC conditions.By addressing issues like air preheater leakage,adjusting load feedforward,and enhancing the induced draft fan’s dynamic blade feedforward,the quality of furnace pressure control was improved.

关 键 词：小波分析 炉膛压力 一次风流量 AGC 

分 类 号：TM621[电气工程—电力系统及自动化]