热力发电2023，Vol.52Issue(12)：106-114,9.DOI:10.19666/j.rlfd.202306101
基于数字孪生技术的热电联产机组建模研究
Research on modeling of cogeneration units based on digital twin technology
王印松 1姜灵斌 1王莺歌2
作者信息
- 1. 华北电力大学自动化系,河北 保定 071003
- 2. 华能营口热电有限责任公司,辽宁 营口 115000
- 折叠
摘要
Abstract
To establish an accurate and effective dynamic model of cogeneration units,a modeling method based on digital twin technology is proposed using unit operation data.Firstly,the historical data stored in the unit data server is extracted,it is then clustered using the improved genetic simulated annealing fuzzy C-means method to establish a historical data clustering library.Then,during the operation of the unit,real-time operational data is collected and transmitted,and a multi-level similarity recognition strategy is used to retrieve the historical data closest to real-time operational data in the historical data clustering library.Then,based on the optimization,the extreme learning machine will use the searched historical data for unit modeling.Finally,a twin model of a cogeneration unit in Hangzhou is established and comparative experiments are conducted.The results show that,the built model meets the accuracy requirements and can track the real-time state response of the unit.The model accuracy can be further optimized by flexibly changing the parameter settings during the modeling process.关键词
热电联产机组/数字孪生/遗传模拟退火算法/相似度识别/极限学习机Key words
cogeneration units/digital twin/genetic simulated annealing algorithm/similarity recognition/ELM引用本文复制引用
王印松,姜灵斌,王莺歌..基于数字孪生技术的热电联产机组建模研究[J].热力发电,2023,52(12):106-114,9.
