Coal mill variable loading force optimized strategy based on the fused model of the ratio of pressure-drop to current

doi:10.3969/j.issn.2097-0706.2024.12.002

Abstract

Abstract:

The proposal of the "dual carbon" goals posed a challenge to coal-fired generating units under low-load operation. As the key equipment of a coal pulverizing system， a coal mill is in urgent need of optimizing its control strategy so as to enhance the efficiency and safety. Base on real operation data of a coal mill， data mining tools such as regression method and correlation analysis are adopted to uncover the relationships between its operating parameters including the outputs and the ratio of pressure-drop to current. The ratio of pressure-drop to current， which is weakly related to the mill capacity， is taken to evaluate the operating condition， making the parameter a proper criterion for the performance of the mill under variable load operation. Operation data show that moderate ratios of pressure-drop to current that near the operation baseline provide an optimal value range for the parameter. Considering the distribution of the ratio of pressure-drop to current， a specific loading force strategy is obtained， which can supress the vibration and enhance the efficiency of the coal mill. The strategy made based on the ratio of pressure-drop to current is applicable to mills of the same type.

Key words: coal mill, loading force, runtime optimization, mechanism fusion, data mining

CLC Number:

TK01：TM621

CHEN Ranjing, CHEN Yifan, CAO Yue, SI Fengqi. Coal mill variable loading force optimized strategy based on the fused model of the ratio of pressure-drop to current[J]. Integrated Intelligent Energy, 2024, 46(12): 10-16.

Figures/Tables 12

Fig.1

Fig.2

Table 1

Fitting result of the coal mill's operating points

参数	拟合值	误差	R²
$k$	1.090 0	0.006 740 0	0.063 8
$b$	0.053 7	0.000 137 4	0.063 8

Table 1

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Table 2

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出入口差压区间/kPa	磨煤机振动/（mm·s^-1）	加载力偏置/%
>6.0	/	+15
>5.5	/	+10
>5.0	/	0
<4.5	>1	-10
<4.0	>2	-20
<3.5	>3	-25