基于多策略改进哈里斯鹰算法的过热汽温模型参数辨识  

Parameter Identification of Superheated Steam Temperature Model from Harris Hawks Optimization Algorithm

作　　者：刘磊[1] 杨少杰 孙明[2] 董泽[2] LIU Lei;YANG Shaojie;SUN Ming;DONG Ze(North China Electric Power Research Institute Co.,Ltd.,Beijing 100045,China;Hebei Technology Innovation Center of Simulation&Optimized Control for Power Generation,North China Electric Power University,Baoding 071003,China)

机构地区：[1]华北电力科学研究院有限责任公司,北京100045 [2]河北省发电过程仿真与优化控制技术创新中心(华北电力大学),河北保定071003

出　　处：《山东电力技术》2022年第11期84-90,共7页Shandong Electric Power

基　　金：河北省省级科技计划项目(22567643H)。

摘　　要：为了进行控制器的设计和整定参数,建立精准的过热汽温模型,获得更好的控制效果。由于哈里斯鹰算法存在易陷入局部最优和收敛精度低的问题,提出多策略优化的哈里斯鹰优化算法。在探索阶段利用Logistic混沌映射,优化种群的初始化问题,从而改善哈里斯鹰算法收敛精度低的问题;然后通过随机收缩指数函数非线性化能量方程,使得算法在寻优过程更加协调;最后引入了自适应权重因子更新猎物的位置,提高算法的准确度。通过与其他算法比较,证明了本文算法的精准度。多策略优化的哈里斯鹰优化算法应用于现场数据辨识,对某600 MW超临界机组的过热汽温系统进行辨识,验证算法的准确性和优越性。In order to design the controller and set parameters,an accurate superheated steam temperature model is established to obtain better control effect.The Harris Hawks Optimization algorithm for multi strategy optimization is proposed to solve the problem that the Harris Eagle algorithm is easy to fall into local optimum and has low convergence accuracy.In the exploration stage,the Logistic chaotic mapping is used to impose interference on the population,which greatly improves the diversity of the population,thus improving the problem of low convergence accuracy of Harris Hawks Optimization algorithm.By nonlinearizing the energy equation with a random shrinking exponential function,the algorithm is more coordinated in the optimization process.Finally,an adaptive weight factor is introduced to update the position of prey to improve the accuracy of the algorithm.Compared with other algorithms,the identification accuracy of Harris Hawks Optimization algorithm optimized by multiple strategies has been significantly improved.Multi-Strategy Harris Hawks Optimization algorithm is applied to field data identification to identify the superheated steam temperature system of a 600 MW supercritical unit to highlight the accuracy and superiority of the algorithm.

关 键 词：过热汽温 哈里斯鹰算法 LOGISTIC混沌映射 自适应权重 系统辨识 

分 类 号：TM621[电气工程—电力系统及自动化] TP18[自动化与计算机技术—控制理论与控制工程]