Dynamic soft measurement method for coal calorific value based on Calman filter
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Dynamic soft measurement method for coal calorific value based on Calman filter
Thermal Power GenerationVol. 45, Issue 10, Pages: 77-81(2016)
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:
Dynamic soft measurement method for coal calorific value based on Calman filter
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.