Research On Synchroniaed Phasor Measurement Based On Compressed Sensing

With the rapid development of China's power grid and the continuous expansion of the power market scale,the complexity of power system operation is increasing day by day.It is an important platform for real-time power system status estimation and dynamic monitoring.The wide area measurement system is in the power system security and stability control system.Parameter identification and fault analysis have been widely used in many fields.The core of the wide area measurement system is a synchrophasor measurement device based on global positioning technology.The device can realize synchronous transmission,measurement and analysis of phasors in the power system.It is a new technology and important means to obtain dynamic real-time monitoring data of the grid and accurately estimate the system status.To a large extent,the accuracy of the synchrophasor measurement device mainly depends on its application algorithm.Therefore,improving the accuracy and reliability of the synchrophasor measurement algorithm is the basis and prerequisite for ensuring the safe and stable operation of the power system.In order to eliminate or reduce the measurement error caused by the inaccurate synchronous sampling,this paper first proposes a synchronous phasor measurement algorithm based on the compressed sensing theory to modify the estimation results of the discrete Fourier transform.The algorithm uses a discrete Fourier transform to sparse the measurement signal,and Dirichlet matrix is used as an observation matrix to recover the phasor measurement parameters by compressing the sensor reconstruction algorithm to reconstruct the measurement signal.The simulation results show that under static conditions,compared with the traditional discrete Fourier transform method,this algorithm not only can effectively eliminate or reduce the errors such as spectral leakage,but also improves the phasor measurement accuracy of the signal to a great extent.In addition,in order to improve the accuracy of the algorithm under dynamic conditions,this paper also proposes a dynamic synchrophasor measurement algorithm based on Taylor series and compressed sensing theory.The algorithm firstly establishes a dynamic signal model based on Taylor series.The least mean square error adaptive filter preprocesses the dynamic synchrophasor measurement signal to eliminate noise and harmonic equal component interference.Then the dynamic parameters are used.The complete dictionary realizes the sparse representation of the signal,and then uses the Gaussian observation matrix to complete the downsampling projection of the signal.Finally,the sparse decomposition of the signal to bedetected is achieved using the improved orthogonal matching pursuit algorithm,and the original synchronized phasor measurement is estimated based on the best matching atom.The fundamental wave parameters of the signal.The simulation results show that the algorithm can not only effectively filter out the interference signal,but also has good dynamic response performance and stability.It also improves the phasor measurement accuracy of the signal to a great extent,and meets the standards and requirements of phasor measurement.It lays a good foundation for the application of the synchronous phasor measurement device in the wide area measurement system.