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Fundamental wave parameter measurement method based on sliding window spectrum separation

A technology of parameter measurement and spectrum, applied in the field of fundamental wave parameter measurement based on sliding window spectrum separation, can solve the problems of power system signal inter-harmonic interference, low estimation accuracy, limitation and so on

Active Publication Date: 2017-03-15
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

However, due to the use of a large number of power electronic equipment such as frequency converters, it will bring interharmonic interference to power system signals, which brings new difficulties to the dynamic monitoring of power frequency parameters.
However, the above method has a low estimation accuracy when the signal has interharmonics and is close to the fundamental wave in a short time window, and its practical application is limited.

Method used

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  • Fundamental wave parameter measurement method based on sliding window spectrum separation
  • Fundamental wave parameter measurement method based on sliding window spectrum separation
  • Fundamental wave parameter measurement method based on sliding window spectrum separation

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Embodiment Construction

[0069] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0070] figure 1 Shown as a simulated grid voltage signal with varying fundamental and interharmonic components, the steps taken are:

[0071] 1. Signal collection

[0072] The voltage signal V or current signal I of the transmission and distribution network is collected for offline or online analysis, that is, the method of the present invention can not only analyze the real-time collected signal, but also dynamically analyze the historical signal of a certain period of time.

[0073] 2. Power signal modeling

[0074] 1), the single-frequency complex exponential model of the power system voltage or current signal is: where A p , f p with are amplitude, frequency and initial phase angle respectively;

[0075] 2), set the sampling frequency to f s , then the sampling interval Δt=1 / f s , then the continuous signal x p (t) aft...

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Abstract

The invention discloses a fundamental wave parameter measurement method based on sliding window spectrum separation. The method comprises the following steps: to begin with, establishing an electric signal model; then, deducing a spectrum separation method through short-time Fourier transform; for a plurality of frequency components obtained through spectrum peak separation, setting a real frequency component judgment condition; and finally, calculating and correcting fundamental wave parameters. The method can greatly reduce interference of the negative frequency component and the interharmonic component on fundamental wave, accurately extracts the fundamental wave component, and obtains good parameter measurement precision; analysis of a noise signal also shows that the algorithm has good noise immunity; and the method is suitable for power grid power frequency dynamic measurement.

Description

technical field [0001] The invention belongs to the field of power systems, and in particular relates to a method for measuring fundamental wave parameters based on sliding window spectrum separation. Background technique [0002] With a large number of measuring equipment such as synchrophasor measurement units and frequency disturbance recorders put into use in the power grid, the dynamic monitoring of the power system has become an important guarantee for the reliable operation and control of the power grid. Among them, the power frequency parameters of the power system are important indicators for the stable, efficient and safe operation of the power system, especially the frequency of the power system, which is crucial for evaluating the synchronous operation of the power grid and distributed motors. Therefore, fast and accurate estimation of power frequency parameters has important engineering practical value. [0003] Most of the existing fundamental wave parameter e...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R23/16
CPCG01R23/16
Inventor 臧天磊孙仲民何正友钱清泉
Owner SOUTHWEST JIAOTONG UNIV
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