Research and Application of Denitrification Optimal Control Based on Multi-Variable Generalized Predictive Control Algorithms
For the denitrification control system of large thermal power unit, because of the characteristics of its controlled object, such as the large time delay and inertia, the impacts from multiple interference factors and model variations under different loads, traditional PID control strategy cannot me...
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| Format: | Article |
| Language: | zho |
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State Grid Energy Research Institute
2019-10-01
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| Series: | Zhongguo dianli |
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| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201901009 |
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| author | Xiaodong ZHANG Pengfei WANG Le LIU |
| author_facet | Xiaodong ZHANG Pengfei WANG Le LIU |
| author_sort | Xiaodong ZHANG |
| collection | DOAJ |
| description | For the denitrification control system of large thermal power unit, because of the characteristics of its controlled object, such as the large time delay and inertia, the impacts from multiple interference factors and model variations under different loads, traditional PID control strategy cannot meet the requirements. Regarding this problem, a multi-variable model of denitrification system is constructed by recursive least square method, and then an optimal control strategy for denitrification system is established based on multi-variable generalized predictive control. Meanwhile, this strategy has been applied in 330 MW subcritical unit of a power plant. From the practical results it is shown that the proposed denitration optimization control strategy based on multi-variable generalized predictive control has effectively controlled NOx concentration at the denitration outlet and suppressed the fluctuation of NOx concentration, whether the system is operated under steady state or complex variable load conditions. The usage of urea has also been reduced such that the stable and economic operation of the denitration system is achieved. |
| format | Article |
| id | doaj-art-827ba2bfa15b473a805b0743ad29b7d2 |
| institution | DOAJ |
| issn | 1004-9649 |
| language | zho |
| publishDate | 2019-10-01 |
| publisher | State Grid Energy Research Institute |
| record_format | Article |
| series | Zhongguo dianli |
| spelling | doaj-art-827ba2bfa15b473a805b0743ad29b7d22025-08-20T02:56:58ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492019-10-01521017818410.11930/j.issn.1004-9649.201901009zgdl-52-10-zhangxiaodongResearch and Application of Denitrification Optimal Control Based on Multi-Variable Generalized Predictive Control AlgorithmsXiaodong ZHANG0Pengfei WANG1Le LIU2Guodian Technology & Environment Group Co., Ltd., Beijing 100761, ChinaBeijing Guodian Zhishen Control Technology Co., Ltd., Beijing 100085, ChinaBeijing Guodian Zhishen Control Technology Co., Ltd., Beijing 100085, ChinaFor the denitrification control system of large thermal power unit, because of the characteristics of its controlled object, such as the large time delay and inertia, the impacts from multiple interference factors and model variations under different loads, traditional PID control strategy cannot meet the requirements. Regarding this problem, a multi-variable model of denitrification system is constructed by recursive least square method, and then an optimal control strategy for denitrification system is established based on multi-variable generalized predictive control. Meanwhile, this strategy has been applied in 330 MW subcritical unit of a power plant. From the practical results it is shown that the proposed denitration optimization control strategy based on multi-variable generalized predictive control has effectively controlled NOx concentration at the denitration outlet and suppressed the fluctuation of NOx concentration, whether the system is operated under steady state or complex variable load conditions. The usage of urea has also been reduced such that the stable and economic operation of the denitration system is achieved.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201901009thermal power generating unitdenitration systemoptimize controlmulti-variable generalized predictive controlnox at outlet |
| spellingShingle | Xiaodong ZHANG Pengfei WANG Le LIU Research and Application of Denitrification Optimal Control Based on Multi-Variable Generalized Predictive Control Algorithms Zhongguo dianli thermal power generating unit denitration system optimize control multi-variable generalized predictive control nox at outlet |
| title | Research and Application of Denitrification Optimal Control Based on Multi-Variable Generalized Predictive Control Algorithms |
| title_full | Research and Application of Denitrification Optimal Control Based on Multi-Variable Generalized Predictive Control Algorithms |
| title_fullStr | Research and Application of Denitrification Optimal Control Based on Multi-Variable Generalized Predictive Control Algorithms |
| title_full_unstemmed | Research and Application of Denitrification Optimal Control Based on Multi-Variable Generalized Predictive Control Algorithms |
| title_short | Research and Application of Denitrification Optimal Control Based on Multi-Variable Generalized Predictive Control Algorithms |
| title_sort | research and application of denitrification optimal control based on multi variable generalized predictive control algorithms |
| topic | thermal power generating unit denitration system optimize control multi-variable generalized predictive control nox at outlet |
| url | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201901009 |
| work_keys_str_mv | AT xiaodongzhang researchandapplicationofdenitrificationoptimalcontrolbasedonmultivariablegeneralizedpredictivecontrolalgorithms AT pengfeiwang researchandapplicationofdenitrificationoptimalcontrolbasedonmultivariablegeneralizedpredictivecontrolalgorithms AT leliu researchandapplicationofdenitrificationoptimalcontrolbasedonmultivariablegeneralizedpredictivecontrolalgorithms |