Power System Transient Stability Assessment Based On Random Matrix Theory

In recent years,with the rapid development of green energy and high-tech,the power system has entered the era of smart grid.The large scale of the smart grid,and the large amount of new energy access inside the grid,make it difficult for traditional power system analysis methods that rely on modeling.Power big data analysis methods come into being.This paper combines power system analysis and big data analysis methods.By mining the internal correlation of power grid data,preliminary analysis of the power system transient stability situation is achieved,and thus it is applied to the disturbance positioning and online monitoring of power systems.Provide a new analysis method for the safe and stable operation of the smart grid.First,the random matrix theory is applied to the transient stability analysis of the power system,and the transient voltage stability and transient power angle stability are analyzed separately.Select the node voltage amplitude data,combine the branch index data to construct a random matrix,and use the translation time window method to compare the effectiveness of the two statistics of average spectral radius and maximum eigenvalue for transient voltage stable situation analysis;select the node voltage phase angle The data and generator transient energy data are used to construct a random matrix.With the help of the translation time window method,the validity of the analysis of transient power angle stability is compared by the two statistics of average spectral radius and maximum eigenvalue.Simulation analysis shows that the application of random matrix theory can realize the analysis of power system transient stability.Secondly,the random matrix theory is used to realize the disturbance location of the power system.Selecting the largest eigenvalue statistic and modifying the random matrix,relying on the Euclidean distance to construct the similarity index,a fast disturbance positioning method based on the random matrix theory is proposed.By constructing a calculation example,the effectiveness of this method in disturbance positioning is verified.Finally,combined with the random matrix theory,an online monitoring strategy for power system transient stability is proposed.The online monitoring of transient voltage stability and online monitoring of transient power angle stability are studied separately.The transient voltage stability online monitoring strategy constructs a random matrix of node voltage amplitude and branch index data,and the transient power angle stability online monitoring strategy constructs a random matrix of transient energy data,through the maximum eigenvalue and a preset stability warning Values and critical values enable online monitoring of power system transient stability.After the example verification,the strategy can realize online monitoring under cascading disturbance,which is helpful for the safe and stable operation of the power system.This article focuses on applying random matrix theory to power system transient stability analysis.Selecting random matrices of different data can analyze the transient instability of power systems due to various types of disturbances,and expand from this,and propose different strategies to solve different scenarios such as disturbance positioning and online monitoring.The transient stability analysis method based on random matrix theory has certain engineering application value and theoretical significance,and the application scenario is very broad after further improvement.