基于价值链分析的火电厂燃煤掺配优化方法
Value Chain Analysis-based Optimization of Coal Feeding Proportion for Thermal Power Plants
张志春1
作者信息
- 1. 晋控电力河津发电分公司,山西河津 043399
- 折叠
摘要
在梳理火电厂燃煤供应价值链的基础上,提出一种基于高斯混合模型和改进支持矢量机的燃煤掺配优化方法.该方法通过划分运行工况,构建考虑煤质、成本、环保等因素的多目标优化模型,并采用粒子群算法进行求解.某电厂应用案例表明,该方法在不同负荷工况下平均节煤2.1％～3.4％,具有显著的经济和环保效益.
Abstract
Based on the analysis of the coal supply value chain in thermal power plants,this essay outlines a new method for optimizing coal feeding proportion based on Gaussian mixture model and improved support vector machine.By dividing the operating conditions,a multi-objective optimization model considering factors such as coal quality,cost,and environ-mental protection is constructed,and particle swarm optimization algorithm is used for solution.The case application of an actual plant shows that this method achieves an average reduction of 2.1％to 3.4％of coal consumption under different load conditions,and thereby has significant economic and environmental potential.
关键词
价值链分析/燃煤掺配优化/高斯混合模型Key words
value chain analysis/optimization of coal feeding proportion/gaussian mixture model引用本文复制引用
出版年
2024
NETL
NSTL
万方数据