节能2025，Vol.44Issue(8)：98-100,3.DOI:10.3969/j.issn.1004-7948.2025.08.022
基于PSO-SVM的脱硫系统浆液循环泵优化系统应用研究
Application research on the optimization system of slurry circulation pump in desulfurization system based on PSO-SVM
邓丽娟1
作者信息
- 1. 福建华电可门发电有限公司,福建 福州 350500
- 折叠
摘要
Abstract
The energy consumption of the slurry circulation pump in the limestone-gypsum wet flue gas desulfurization system of coal-fired power plants in China is relatively high.Taking a certain 660 MW unit as the research object,based on historical operation data,the key factors affecting the power consumption of the slurry circulation pump are determined through grey relational degree analysis,and the target operating condition library is constructed by using K-means clustering analysis.And the particle swarm optimization-support vector machine(PSO-SVM)classification prediction model is adopted for operation optimization.The results show that after optimization,the unit power consumption of the slurry circulation pump is reduced by more than 15%,saving 491 000 yuan in electricity fees annually and 766 600 yuan in limestone costs annually.This effectively reduces the plant power consumption rate of the desulfurization system,improves the economic and safety operation,and provides a reference for the optimization of desulfurization systems in units of the same level.关键词
湿法脱硫系统/浆液系统运行优化/浆液循环泵/K-means聚类分析Key words
wet desulfurization system/operation optimization of slurry system/slurry circulation pump/K-means cluster analysis分类
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邓丽娟..基于PSO-SVM的脱硫系统浆液循环泵优化系统应用研究[J].节能,2025,44(8):98-100,3.
