Reconstruction Method of Edge Power Consumption Data Missing of Intermediate Frequency Induction Heating Equipment Based on Compressed Sensing
In order to solve the power imbalance problem caused by the loss of power consumption data and ensure that the reconstructed inter-mediate frequency induction heating equipment can maintain a relatively stable operating state,a reconstruction method based on compressed sensing for the loss of power consumption data at the edge of intermediate frequency induction heating equipment is designed.The power con-sumption data samples are converted twice to obtain the sparse transformation result of the electrical signal.By constructing a compression ma-trix,the instability phenomenon of the edge power consumption data of the intermediate frequency induction heating equipment is described,and the vulnerability function of the edge power consumption data of the intermediate frequency induction heating equipment based on com-pressed sensing is solved.Set the grid structure,calculate the value range of the continuous reconstruction threshold index according to the self coding form of missing data,and complete the design of the reconstruction method of the edge power consumption data missing of the interme-diate frequency induction heating equipment under compressed sensing.The experimental results show that the maximum voltage value in the area with missing data can only reach 30.0V.The power grid host can determine the interval where the missing data is located based on differ-ent real-time voltages,which can play a promoting role in solving the problem of electricity imbalance and enhancing the operational stability of the reconstructed power grid.
万方数据
维普
