基于鲸鱼优化算法的低压机组双层容量参数辨识OA

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.