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Harmonic detection method based on adaptive kalman filtering

A self-adaptive Kalman and harmonic detection technology, applied in measuring devices, measuring electrical variables, instruments, etc., can solve problems such as limiting the independent and cooperative performance of active filters, and achieve the effect of eliminating nonlinear characteristics

Active Publication Date: 2016-03-23
NANJING INTELLIGENT APP
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Problems solved by technology

Existing harmonic detection methods limit the improvement of independent and cooperative performance of active filters to a certain extent

Method used

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  • Harmonic detection method based on adaptive kalman filtering
  • Harmonic detection method based on adaptive kalman filtering
  • Harmonic detection method based on adaptive kalman filtering

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Embodiment Construction

[0022] The technical solutions created by the present invention will be further described below through specific embodiments and accompanying drawings.

[0023] The invention discloses a harmonic detection method based on adaptive Kalman filter, which is mainly aimed at the detection of specific frequency harmonics. First, the observation state is set, and each specific harmonic corresponds to two states, which are obtained by decomposing the harmonic expression; secondly, the dynamic equation of the system and the measurement equation of the sensor are determined, so as to obtain a suitable state estimation process; again, the determined quantity is used Measuring equations and dynamic equations, combined with actual known data to train the neural network, so that the Kalman filter can obtain adaptive anti-outlier ability; after that, the actual system can be adaptively Kalman filter to obtain the required state; finally, the observation can be obtained The state quantity of ...

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Abstract

The invention discloses a harmonic detection method based on adaptive kalman filtering. The method comprises steps: firstly, an observation state is set, and each specific harmonic is corresponding to two states, which is obtained by decomposition of a harmonic expression; secondly, a dynamic equation for a system and a measurement equation for a sensor are determined, and a proper state estimation process is acquired; thirdly, the determined measurement equation and the dynamic equation are used, and in combination with an actual already-known data training neural network, kalman filtering can acquire an adaptive fault-tolerant ability; fourthly, adaptive kalman filtering is carried out on the actual system to acquire the needed state; and finally, the condition amount which is obtained through observation is used to calculate and obtain the amplitude and the phase angle of the specific harmonic. The traditional actual state-based numerical value state estimation idea is broken, a new linear estimation state is set, nonlinear features are thus eliminated, the harmonic amplitude and the phase are calculated accurately, and meanwhile, the fault-tolerant kalman filter is built by using a neural network method, and data mutation caused by sensor fault or external condition changes can be adaptive.

Description

technical field [0001] The invention aims at the harmonic detection link in the power system, especially the accurate detection of sub-harmonics in the original waveform, and provides a reliable basis for the harmonic detection part in the harmonic compensation process of the active filter (APF). Background technique [0002] The adjustment and control of the power quality by the active power filter will be one of the most important advanced means in the future, and the most basic and most important thing is to accurately and quickly detect the harmonics in the original waveform harmonic content. Especially when multiple active filters work together, only by accurately detecting the sub-harmonic content can a reasonable cooperative control strategy for total harmonic compensation be given. [0003] Harmonic detection methods are mainly divided into two categories: frequency domain and time domain. Frequency domain methods are represented by Fourier analysis (Fourier) and fa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R23/165
Inventor 张杭郭楚佳
Owner NANJING INTELLIGENT APP
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