Novel method for online identification of coherent cluster of electric power system

Abstract

Disclosed is a novel method for online identification of coherent clusters of an electric power system. The method comprises: first of all, a PMU measuring real-time power-angle locus information of a generator set after a fault occurs; then, performing normalization processing on the PMU measurement information to generate standard data; and finally, classifying the standard data by use of an improved support vector machine algorithm to obtain a final consistent cluster online identification result. By using the method provided by the invention, for all the operation modes and passably generated fault types of the electric power system, online real-time data measurement is carried out through the PMU, and the improved support vector machine algorithm is employed, such that the problems of large computational complexity, long calculating time, easily caused dimensionality disasters and the like by use of a conventional method are solved, and on the basis of accurate and rapid consistency cluster online identification, the safety and stability level of the electric power system is improved.

Description

technical field [0001] The invention relates to a new method for on-line identification of a coherent machine group in a power system, belonging to the technical field of power system stability and control. Background technique [0002] The safe and reliable operation of the power system is closely related to the national economy and people's lives. The large-scale interconnection of modern power systems has objectively led to the possibility of major blackouts. When local out-of-synchronization oscillation occurs in the power system without proper decommissioning measures, it is easy to cause a chain reaction and even lead to a major blackout of the entire network. Therefore, in the case of severe oscillations, it is of great significance to quickly and accurately identify the coherent fleet and perform appropriate decoupling operations to quickly calm the oscillations of the power system and avoid further expansion of accidents. [0003] How to automatically identify the...

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the shortcomings of the existing methods, the present invention provides a new method for online identification of coherent units in the power system, which can measure data online in real time through the PMU for all operating modes and possible fault types of the power system, and adopt improved support The vector machine algorithm solves the problems of large amount of calculation, long calculation time, and easy to cause dimension disaster in the existing method, and can quickly and accurately identify the coherent cluster online, improving the safety and stability of the power system

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