Multi-variable Modeling Research for Main-steam Temperature of Power Station Boiler Based on Improved Differential Evolution Algorithm

Authors

Li Qin, 1. College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China;;2. College of Automation Engineering, Shanghai University of Electric Power Shanghai Key Laboratory of Power Station Automation Technology, Shanghai 200090, China;;
Zhang Hao, 1. College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China;;2. College of Automation Engineering, Shanghai University of Electric Power Shanghai Key Laboratory of Power Station Automation Technology, Shanghai 200090, China;;
Daogang Peng, 2. College of Automation Engineering, Shanghai University of Electric Power Shanghai Key Laboratory of Power Station Automation Technology, Shanghai 200090, China;;
Yibo Guo, 2. College of Automation Engineering, Shanghai University of Electric Power Shanghai Key Laboratory of Power Station Automation Technology, Shanghai 200090, China;;
Nianlong Wang, 3. Shanghai Minghua Electric Power Technology Engineering Ltd., Shanghai 200090, China;
Yuzhen Sun, 1. College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China;;2. College of Automation Engineering, Shanghai University of Electric Power Shanghai Key Laboratory of Power Station Automation Technology, Shanghai 200090, China;;

Abstract

Abstract: By analyzing the factors which affected the main-steam temperature, a multi-variable model was introduced to overcome the bad result of single variable cascade control. An improved differential evolution algorithm was proposed including mutation strategies random selection, crossover ratio and mutation ratio adaptive adjustment, which was used for closed-loop identification of main-steam multi-variable transfer function model. The principle and method how to obtain valid identification data from power plant distributed control system history database was introduced, and the data from some 1 000 MW coal-fired power plant was used to identify and verify the main-steam temperature multi-variable model, the verification result shows the validation of model. By further analyzing the multi-variable model identification result, an optimization method was suggested for the conventional main-steam cascade control.

Recommended Citation

Qin, Li; Hao, Zhang; Peng, Daogang; Guo, Yibo; Wang, Nianlong; and Sun, Yuzhen (2020) "Multi-variable Modeling Research for Main-steam Temperature of Power Station Boiler Based on Improved Differential Evolution Algorithm," Journal of System Simulation: Vol. 29: Iss. 8, Article 10.
DOI: 10.16182/j.issn1004731x.joss.201708010
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss8/10

First Page

1712

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201708010

Last Page

1718

CLC

TP273

Recommended Citation

Li Qin, Zhang Hao, Peng Daogang, Guo Yibo, Wang Nianlong, Sun Yuzhen. Multi-variable Modeling Research for Main-steam Temperature of Power Station Boiler Based on Improved Differential Evolution Algorithm[J]. Journal of System Simulation, 2017, 29(8): 1712-1718.

DOI

10.16182/j.issn1004731x.joss.201708010