Method for recognizing electrical system non-invasive induction motor dynamic parameter

Abstract

A dynamic parameter identifying method for electric system non-invasive induction motor, including the steps as below: under no influences to the electric user, monitor and detect the electrical information of electric loads, if any induction motors put into operation, go to the next step, otherwise continue to monitor and detect; record the terminal voltage, and current data during the whole starting process of induction motor under any loads; fulfill the filtering of measured voltage, and current data, and the data smoothing; draw the pie chart of motor according to the smoothed data; and identify the parameters of induction motor according to the basic properties of motor pie chart and combined with the modern mathematic methods to optimize the parameters, and calculate the rotary speed of motor at the steady-state operating point according to the calculated parameters; calculate the deviation indexes of parameters; determine whether the deviation indexes meet with the specified standards, until all deviation indexes up to the relevant standards. The invention adopts the non-invasive parameter identification method, only through the current, and voltage information at the electrical inlet of loads, the service conditions and relevant dynamic parameters of user's induction motor may be obtained.

Description

technical field [0001] The invention relates to a parameter identification method of an induction motor in a power system. In particular, it relates to a non-intrusive induction motor dynamic parameter of a power system in which the power supply party does not need to intrude into the interior of the power user, but can obtain the use of the power user's induction motor and the corresponding dynamic parameters based on the current and voltage information at the electrical entrance of the load. identification method. Background technique [0002] Power system dynamic simulation is an irreplaceable tool for studying the dynamic characteristics of the entire power system, and is the basis for power system design, planning, and operation. The research shows that the load dynamic parameters have an important influence on the dynamic characteristics of the power system, and the excessive roughness of the load model is one of the main factors restricting the improvement of the sim...

AI Technical Summary

Problems solved by technology

[0005] 1) The traditional method is time-consuming and laborious, which is not conducive to on-site measurement;

[0006] 2) It is necessary to use special test signals that cannot be conveniently provided on site;

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