基于改进差分算法的电站锅炉主蒸汽温度多变量建模研究

doi:10.16182/j.issn1004731x.joss.201708010

系统仿真学报 ›› 2017, Vol. 29 ›› Issue (8): 1712-1718.doi: 10.16182/j.issn1004731x.joss.201708010

基于改进差分算法的电站锅炉主蒸汽温度多变量建模研究

李芹^1,2, 张浩^1,2, 彭道刚², 郭义波², 王念龙³, 孙宇贞^1,2

1. 同济大学电子与信息工程学院,上海 201804;
2. 上海电力学院自动化工程学院上海市电站自动化技术重点实验室,上海 200090;
3. 上海明华电力技术工程有限公司,上海 200090

收稿日期:2016-08-22 发布日期:2020-06-01
作者简介:李芹(1975-),女,河北泊头,博士生,讲师,研究方向为发电过程建模与优化控制技术。
基金资助:
上海市"科技创新行动计划"高新技术领域项目(16111106300),上海市"科技创新行动计划"国际科技合作项目(15510722100),上海市科学技术委员会工程技术研究中心项目(14DZ2251100)

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

Li Qin^1,2, Zhang Hao^1,2, Peng Daogang², Guo Yibo², Wang Nianlong³, Sun Yuzhen^1,2

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;
3. Shanghai Minghua Electric Power Technology Engineering Ltd., Shanghai 200090, China

Received:2016-08-22 Published:2020-06-01

摘要/Abstract

摘要： 针对主汽温常规单变量串级控制效果差的问题,在分析相关影响因素的基础上,提出了一种主汽温多变量传递函数模型结构。针对标准差分进化算法的缺点,提出了一种随机选择变异策略和自适应调整变异率交叉率的改进算法,并将该算法应用于主汽温闭环多变量传递函数模型辨识。给出了从电厂现场分布式控制系统历史数据库获取有效辨识数据的原则和方法,利用从某1000 MW机组获取的数据进行主汽温多变量模型辨识和校验,校验结果表明了辨识模型的有效性。通过对多变量模型辨识结果的进一步分析,给出了主汽温常规串级控制系统调整和优化的建议。

关键词: 主汽温, 闭环, 多变量, 差分进化算法

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.

Key words: main-steam temperature, closed-loop, multi-variable, differential evolution algorithm

中图分类号:

TP273

李芹, 张浩, 彭道刚, 郭义波, 王念龙, 孙宇贞. 基于改进差分算法的电站锅炉主蒸汽温度多变量建模研究[J]. 系统仿真学报, 2017, 29(8): 1712-1718.

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.

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基于改进差分算法的电站锅炉主蒸汽温度多变量建模研究

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

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