Power system frequency response analysis method based on data-model fusion driving

Abstract

The invention discloses a power system frequency response analysis method based on data-model fusion driving, and the method comprises the steps of carrying out the preliminary prediction on the system frequency response through employing a model driving method, and carrying out the error correction on a preliminary measurement result through employing a data driving method; and further providing a power system frequency response analysis method based on data-model fusion driving. The method specifically comprises a data processing link, an offline training link and an online application link. According to the method, the calculation precision is greatly improved on the premise of ensuring the calculation speed, meanwhile, the dependence degree of the model on the sample data is reduced, and the interpretability of a result is improved; the method can be applied to situation awareness and real-time evaluation of frequency security and stability, and provides a rapid and effective decision basis for the subsequent scheduling and control so as to prevent frequency collapse events and improve the stability of a power system.

Description

technical field [0001] The invention relates to the field of primary frequency modulation of power systems, in particular to a frequency response analysis method of power systems based on data-model fusion drive. Background technique [0002] Power system frequency is a key indicator of power quality and system operation status, and frequency stability is determined by the balance relationship between system active power generation and load. When the power system is severely disturbed and a large amount of power shortage occurs, the frequency will drop sharply in a short period of time. If it deviates beyond the normal operating range, it may cause failures such as generator set disconnection and partial line load shedding. Serious It may even lead to frequency collapse of the power system. When the frequency disturbance occurs in the system, the frequency response is primary frequency modulation, which is the first line of defense to suppress the frequency change of the po...

AI Technical Summary

Problems solved by technology

The system frequency response model based on the single machine equivalent cannot consider the time-space distribution characteristics of the frequency when analyzing the dynamic frequency of the complex power system, resulting in insufficient accuracy; the time-domain simulation model is subject to the complex calculation process of step-by-step integration, and the calculation takes a long time, making it difficult to apply online

Both of them can no longer meet the dual requirements of modern power grids for computing speed and accuracy

However, it is completely separated from the physical model, so that the number of sample data, feature extraction methods and algorithm parameter selection will have a greater impact on the effectiveness of the algorithm.

At the same time, when faced with the power system, an object with mature causality, the data-driven method, which is similar to a "black box" application method, gives results that are difficult to interpret

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