Transient stability control method of OMS distribution network based on Transfer Learning
In order to improve the integrated control effect and ensure the transient stability of OMS distri-bution network,the transient stability control method of OMS distribution network based on transfer learning is studied.The parameters of the non-fixed layer in the network are adjusted by transfer learning,the net-work of the non-fixed layer is reconstructed according to the extracted feature training,and the transfer learning convolution neural network model is constructed.The two-dimensional voltage and current data im-age is input and the transient stability prediction results of OMS distribution network is output.In case of transient instability of OMS distribution network,the sensitivity of generators in OMS distribution network is solved,and the integrated control strategy of transient stability of OMS distribution network is generated ac-cording to the sensitivity.Experiments show that under different faults,the comprehensive evaluation index value is higher and the integrated control effect is better.
transfer learningOMS distribution networktransient stabilityintegrated controlsensitivity
万方数据
维普
