Study On Synchronous Phasor Measurement And Disturbance Location Based On Compressed Sensing

Various disturbances that occur in the power system will destroy the stability of the system.In severe cases,it will cause the power supply to the user to be interrupted,or even cause the entire system to crash.Therefore,the location of the disturbance source in time is conducive to maintaining the stability of the operation of the power system.However,the accuracy of disturbance location is closely related to the accuracy of data collection.As the core of the synchronous Phasor Measurement Unit(PMU),the synchronous phasor measurement algorithm plays an important role in the dynamic and stable monitoring and control of the system,and its data measurement accuracy it directly affects the accuracy of perturbation positioning.Various perturbations often make the system under dynamic conditions,but the currently available synchronous phasor measurement algorithms have high accuracy only for data collection of static systems,and are subject to the Nyquist sampling law,which has the disadvantages of large data collection and high system resource consumption.Therefore,researching a synchronous phasor measurement algorithm that adapts to the dynamic changes of the system due to disturbances and has a low sampling rate is of great significance for the location of disturbance sources.In order to accurately locate the location of the disturbance source,this paper starts with the collection of PMU data and makes in-depth research in three aspects:adapting to the dynamic conditions of the system,improving the accuracy of data measurement,and reducing the amount of data sampling.A synchronous phasor measurement based on the compressed sensing algorithm is proposed.The algorithm is used in PMU data measurement,and combined with the characteristics of system disturbance,a power system disturbance location method based on compressed sensing vector matching is proposed.The main work of this paper is:(1)In view of the shortcomings of the current commercial synchronous phasor measurement algorithms,this paper uses Compressed Sensing algorithm to select a four-parameter Chirplet atom that is more effective as a sparse atom after comparing with commonly used Gabor sparse atoms to design a sparse dictionary for signal sparsing;Then the orthogonal matching tracking algorithm is used to extract the signal features;Finally,the original power signal is reconstructed by the extracted features,and the synchronization phasor measurement algorithm is improved.This method has a small amount of data collection and dynamic adaptability Strong,high precision,and etc.(2)The optimized dynamic synchronous phasor measurement algorithm is used through a limited number of PMU devices to collect system data before and after the disturbance as observation data,combining the characteristics of different disturbances and the system topology to construct a complete dictionary of disturbance positioning,and finally using compressed sensing reconstruction the algorithm matches the observation data with an over-complete dictionary to complete the localization of disturbance sources.This section mainly focuses on the research on the generator shedding and load shedding in the power system,and locates the specific disturbance points.At the same time,this paper estimates the amount of load shedding proportion of the total system load.