摘要
煤炭作为火电厂发电的主要能源,其在锅炉内焚烧过程中会产生大量的氮氧化物。各电厂一般利用烟气自动监控系统对其浓度进行实时测量,但由于测量时存在较大迟延,不能准确地反映SCR系统NOx浓度的实时变化。因此提出了一种基于改进麻雀算法优化最小二乘支持向量机的NOX浓度预测方法。首先,引入余弦因子改进麻雀算法中的比例算子,将迭代次数信息引入到迭代过程中,平衡算法前后期的全局与局部搜索能力。其次,使用新的变异算子代替原算子,将混沌理论融合到麻雀算法,解决了算法全局搜索能力较差、初始化麻雀分布不稳定及发现者位置更新方式不足的问题。最后,采用改进麻雀算法(CDE-SSA)对最小二乘支持向量机(LSSVM)进行参数寻优。实验结果证明,方法在NOX浓度预测的精度和稳定性上均表现出了良好的性能。
As the main energy source for power generation in thermal power plants,coal gene rates large amounts of NOx during combustion in the boiler.Vario us power plants generally use automatic flue gas monitoring systems to measure their concentrations in real-time,but due to the large delay in measurement,they cannot accurately reflect the real-time changes in NOx concentration at the SCR system.This paper proposes a NOx concentration prediction method based on an improved sparrow algorithm optimized by least squares support vector machines.Firstly,the cosine factor is introduced to improve the proportional operator in the sparrow algorithm,and the information on the number of iterations is introduced into the iterative process to balance the global and local search ability in the first and second stages of the algorithm.Secondly,a new variational operator is used instead of the original operator,and chaos theory is integrated into the sparrow a lgorithm to solve the problems of poor global search ability,unstable distribution of initialized sparrows and insuffici ent ways to update the location of discoverers.Finally,the improved sparrow algorithm(CDE-SSA)is used to perform parame ter search for the least squares support vect or machine(LSSVM).Experimental results demonstrate that the me thod shows good performance in terms of both accuracy and stability of NOx concentration prediction.
作者
宋美艳
刘畅
张津
孙超
SONG Mei-yan;LIU Chang;ZHANG Jin;SUN Chao(Xi'an Thermal Power Research Institute Co.Ltd.,Xi'an Shaanxi 710054,China;Nanjing Nanrui Jibao Electric Co.Ltd.,Nanjing 211002,China)
出处
《计算机仿真》
2024年第7期129-134,289,共7页
Computer Simulation
基金
中国华能集团有限公司总部科技项目(HNKJ20-H39)。
关键词
麻雀算法
最小二乘支持向量机
氮氧化物浓度
火电机组
预测模型
Sparrow algorithm
Least squares support vector machine
NOx concentration
Thermal power unit
Prediction model
