Analysis Method of Dynamic Frequency Response Characteristics of Power System Nodes Based on Surface Fitting

Abstract

The invention provides a method for analyzing the dynamic frequency response characteristics of power system nodes based on surface fitting. The invention comprehensively considers the change and influence of the initial operation mode of the power system, the fault form, and the fault location on the dynamic frequency characteristics of the observed nodes, and will The node dynamic frequency response characteristics are fitted to a multivariate space surface form, and the limited node dynamic frequency response characteristic simulation values ​​are extracted by offline simulation to fit the state surface; at the same time, the node dynamic frequency response characteristic simulation values ​​are used to check and correct the surface , so that the dynamic frequency response characteristic of the node is a corresponding vector point on the surface in any state. The calculation quickness, simplicity and accuracy of the invention are substantially improved, and the invention is suitable for analyzing the dynamic frequency response characteristics of power system nodes in the fast frequency response process.

Description

technical field [0001] The invention belongs to the technical field of frequency response characteristics analysis of large power grid stability, and in particular relates to a method for analyzing dynamic frequency characteristics of power system nodes based on surface fitting. Background technique [0002] Power system frequency is an important parameter of the power system and one of the important indicators to measure the power quality and safety and stability of the power system. At present, the research on the dynamic frequency response characteristics of nodes in the power system mainly focuses on identifying the frequency change of the system fault node or the system average frequency change and calculating the static frequency characteristics. [0003] The static frequency characteristic records the quasi-steady state value after the transient subsides, and the maximum frequency deviation is related to the start of the emergency control measures of the system; while...

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Problems solved by technology

In fact, in the transient process, the frequency changes of each node of the system are asynchronous; at the same time, the static frequency characteristic coefficient of the system identified at the same time is only a rough value range, which has practical significance only for the slow frequency response process, but for emergency control and other frequency response The fast process is of little significance and cannot quickly reflect the dynamic frequency response characteristics of nodes under different initial operation modes and disturbance states, so it is difficult to be applied in fast processes such as system protection and emergency control

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