PI Parameter Setting Method for Distribution Network Load Frequency Control Based on LSTM and Transfer Learning
In the process of distribution network load frequency setting,the PI parameters of the controller are affected by local control iterations,forming a time difference between the control layer and the feedback layer,resulting in frequency mileage de-viation.Therefore,a PI parameter setting method for distribution network load frequency control based on LSTM and transfer learning is proposed.The LSTM model is used to quantify the frequency modulation(FM)mileage parameters,and the related parameters of load frequency control are differentially updated with the transfer learning.The LSTM model of distribution net-work load frequency is constructed,and the transfer learning optimization of frequency control,PI parameter control con-straints and PI parameter setting output are carried out.The experimental results show that it has good performance both in control accuracy and control stability,and the setting results meet the expectations.
LSTMtransfer learningload frequency controlPI parameter setting
万方数据
维普
