An Intelligent Identification Method of Sub/Super-Synchronous Oscillation Based on Synchrophasor

Abstract

The invention discloses a synchronous phasor-based sub / super synchronous oscillation intelligent identification method, which belongs to the technical field of artificial intelligence. The identification method includes sub / super-synchronous oscillation training data generation, off-line training support vector machine (SVM) fixed-order model and convolution neural network (CNN) intelligent parameter identification model, and online identification process. First, generate training data of different oscillation mode orders, frequencies, damping, amplitude, and phases, then use the data to train the SVM fixed-order model and CNN intelligent parameter identification model offline, and finally apply it to the actual oscillation parameter identification: ① data acquisition; ② Data processing; ③ modal order determination; ④ modal decomposition; ⑤ parameter identification. The invention can solve the problem that the sub- / super-synchronous oscillation parameters cannot be identified based on the synchrophasor data of the master station, and has the characteristics of fast identification and high precision.

Description

technical field [0001] The invention relates to a wide-area monitoring technology of a power system, in particular to a synchrophasor-based sub / super synchronous oscillation intelligent identification method, which belongs to the technical field of artificial intelligence. Background technique [0002] With the proposal of the "dual carbon" goal, the grid-connected ratio of renewable energy and power electronic equipment will be greatly increased, and the "dual high" characteristics of the new power system with new energy as the main body will be more significant in the future. In this context, the probability of occurrence of sub / super synchronous oscillation is also greatly increased, which seriously threatens the safe and stable operation of the system. Effective monitoring and analysis of sub / supersynchronous oscillations in power systems with frequencies ranging from several Hz to tens of Hz is an important challenge in this field. [0003] At present, the methods of s...

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Problems solved by technology

[0005] The purpose of the present invention is to provide an intelligent identification method of sub / supersynchronous oscillation based on synchronized phasors, by analyzing the collected sub / supersynchronous oscillation data at the master station, the accuracy of the sub / supersynchronous oscillation of the wide-area power system can be realized Identification, to solve the current problem that cannot be accurately identified based on the synchrophasor data of the master station

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