现代电子技术2026，Vol.49Issue(9)：122-126,5.DOI:10.16652/j.issn.1004-373x.2026.09.018
基于鲸鱼优化算法的低压机组双层容量参数辨识
Low-voltage unit double-layer capacity parameter identification method based on whale optimization algorithm
卢彦霖 1路茂增1
作者信息
- 1. 山东理工大学 电气与电子工程学院,山东 淄博 255000
- 折叠
摘要
Abstract
A low-voltage unit double-layer capacity parameter identification method based on whale optimization algorithm(WOA)is proposed to accurately respond to load changes.A double-layer optimization scheduling model for low-voltage units is constructed and the unit capacity parameter set to be identified is obtained.The optimal observation data is determined by calculating the trajectory sensitivity between the unit capacity parameter set and the output characteristics of the low-voltage units,and then the WOA is used to minimize the error between the observation data and the measured data,so as to determine the optimal unit capacity parameters and complete parameter identification.The experiments show that the propose method can achieve accurate identification of unit capacity parameters at different time periods,and the total scheduling cost,network loss,and load deviation of the double-layer optimization scheduling method have been reduced by 22.93%,27.14%,and 2.85%,respectively,in comparison with working condition 1.The proposed method effectively improves the efficiency and performance of the low-voltage units and provides powerful support for stable operation and efficient management of the low-voltage units.关键词
鲸鱼优化算法/源荷匹配度/负荷波动/轨迹灵敏度/机组容量参数/低压机组Key words
WOA/source load matching degree/load fluctuation/trajectory sensitivity/unit capacity parameter/low voltage unit分类
信息技术与安全科学引用本文复制引用
卢彦霖,路茂增..基于鲸鱼优化算法的低压机组双层容量参数辨识[J].现代电子技术,2026,49(9):122-126,5.
