Dynamic soft measurement method for coal calorific value based on Calman filter

HAO Xiaohui; LIU Xinping; BIAN Fang; ZHANG Quan

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Dynamic soft measurement method for coal calorific value based on Calman filter

Thermal Power Generation Vol. 45, Issue 10, Pages: 77-81(2016)

更新时间：2025-09-28

- Dynamic soft measurement method for coal calorific value based on Calman filter
- 作者机构：
  
  1. 华北电力大学自动化系
  2. 京能康巴什发电有限责任公司
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM621
- Published：2016
- 稿件说明：
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HAO Xiaohui, LIU Xinping, BIAN Fang, et al. Dynamic soft measurement method for coal calorific value based on Calman filter[J]. Thermal Power Generation, 2016, 45(10): 77-81.
DOI：

HAO Xiaohui, LIU Xinping, BIAN Fang, et al. Dynamic soft measurement method for coal calorific value based on Calman filter[J]. Thermal Power Generation, 2016, 45(10): 77-81. DOI：

摘要

快速而准确地测得燃煤发热量对火电机组运行状态监测和控制系统优化至关重要。本文研究了一种基于卡尔曼滤波的信息融合方法

将利用负荷-压力动态模型计算燃煤发热量

与利用机组稳态运行数据进行入炉煤元素分析再依据门捷列夫公式计算燃煤发热量2种方法的输出结果进行融合

得到静态精度高且动态特性好的燃煤发热量软测量结果。仿真试验和机组实际运行数据表明:该方法静态相对误差小于3%

动态响应延迟时间小于100s。

Abstract

Fast and accurate measurement of coal calorific value is very important for monitoring the running state of thermal power plants and optimizing the control system.This paper studies a new method of information fusion based on Kalman filter.The Kalman filter is combined with two different calculation methods for coal calorific value

one is based on the load-pressure dynamic model

and the other uses the steady state operation data to analyze the coal elements and then calculate the coal calorific value by the Mendeleev Formula.Via taking advantages of these two methods

the soft measurement results of coal calorific value with high static accuracy and dynamic characteristics can be obtained.The simulation test and actual operation data show that

the static relative error of this method is below 3%and the dynamic response delay time is less than 100 s.

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Related Author

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Related Institution

Department of Automation, Shanxi University

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