A Classification Method of Power System Load Dynamic Characteristics Based on Feature Mapping
A technology of power system and classification method, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., to avoid errors, improve efficiency, and solve time-varying problems.
Inactive Publication Date: 2015-12-09
SOUTHEAST UNIV
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[0005] Technical problem: The present invention provides a method for classifying dynamic characteristics of power system loads based on feature mapping that can effectively solve the problem of time-varying loads in the load modeling process
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[0034] The technical solutions of the present invention will be specifically introduced below in conjunction with the accompanying drawings.
[0035] Such as figure 1As shown, the present invention provides a method for classifying dynamic characteristics of power system loads based on feature mapping. The classification of load dynamic characteristics refers to dividing the dynamic load disturbance data of the same comprehensive load collected at different times into one category with similar load composition, so as to establish a comprehensive load model for each type of data. The classification method includes the following steps:
[0036] 1) Carry out load modeling on the disturbance data, the specific process is:
[0037] a) Generate voltage and power waveforms for load modeling.
[0038] This step a) is achieved by the following steps a1), a2) and a3).
[0039] a1) Extract the positive-sequence component of the fundamental wave from the measured recorded waveform: us...
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The invention discloses an electric system load dynamic characteristic classifying method based on characteristic mapping. The electric system load dynamic characteristic classifying method comprises the steps of (1) carrying out load modeling on disturbance data, (2) confirming mapping of load dynamic characteristic classifying characteristic quantity, (3) calculating an association degree between data of a modeling group and data of a training group, (4) estimating a load model parameter of each datum in the training group, (5) correcting index mapping in a self-adapting mode, and (6) classifying load dynamic characteristics. According to the electric system load dynamic characteristic classifying method based on the characteristic mapping, a classifying characteristic quantity mapping data table is formed through the preexisting voltage disturbance data in a load modeling platform so that the load dynamic characteristics can be rapidly classified, and the electric system load dynamic characteristic classifying method based on the characteristic mapping is beneficial for solving the problem of time-varying characteristics during a load modeling process.
Description
technical field [0001] The invention belongs to the field of power system load modeling, and relates to a load characteristic classification method, in particular to a power system load dynamic characteristic classification method based on feature quantity mapping. Background technique [0002] Load model is one of the key factors to determine the credibility of power system simulation results, therefore, load modeling is an important basic topic of power system. At present, the commonly used load modeling methods mainly include the overall measurement and identification method and the statistical synthesis method. The overall measurement and identification method is based on a large number of field measured data, and the load group is regarded as a whole, and then the structure and parameters of the load model are determined through the system identification theory. The overall measurement and identification method does not need to know the load composition and parameters ...
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IPC IPC(8): G06F19/00
Inventor 顾伟王元凯袁晓冬李群
Owner SOUTHEAST UNIV