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APF harmonic wave detection system based on nerve network minimum root mean square and detection method thereof

A neural network and harmonic detection technology, which is applied in the direction of measuring devices, effective value measurement, and electrical variable measurement, can solve problems such as large amount of calculation, complicated circuit structure, and difficult adjustment

Inactive Publication Date: 2012-04-25
TIANJIN UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

However, this method has disadvantages such as complex circuit structure, large amount of calculation, and difficult adjustment, and is only applicable to three-phase circuits.

Method used

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  • APF harmonic wave detection system based on nerve network minimum root mean square and detection method thereof
  • APF harmonic wave detection system based on nerve network minimum root mean square and detection method thereof
  • APF harmonic wave detection system based on nerve network minimum root mean square and detection method thereof

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Embodiment

[0053] Embodiment: a kind of APF harmonic detection system based on neural network minimum root mean square (see figure 1 ), including a load-containing power grid, is characterized in that it includes a command current calculation module, a current tracking control module, a drive module, and a main circuit module; wherein, the input terminal of the command current calculation module is connected to the grid where the load is located, and its output terminal Connect the input end of the current tracking control module; the output end of the current tracking control module is connected to the input end of the drive module; the output end of the drive module is connected to the main circuit module; the main circuit module generates compensation current and injects it into the grid to eliminate the power grid Harmonics in .

[0054] The command current operation module includes a definite integral circuit (see Figure 7 ) and a power supply cycle delay circuit; the integrator ...

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Abstract

The invention provides an APF (active power filter) harmonic wave detection system based on nerve network minimum root mean square and a detection method thereof. The system comprises an instruction current operation module, a current tracking control module, a driving module, and a main circuit module. The detection method comprises steps of calculating a demand signal, generating a PWM signal, amplifying the PWM signal and .generating compensation current. The system and the method have the following advantages: (1) hardware apparatus design is simple, cost is low, and realization is easy; (2) by employing a minimum root mean square harmonic wave current detection method, transient harmonic wave current in an electrical network can be detected accurately in real time, and compensation performance of an AFP is ensured; (3) through combining nerve network control with the minimum root mean square harmonic wave current detection method, a controller has self-learning capability; (4) the controller is not needed to be trained in advance, a dynamic response speed is fast, and a structure is simple.

Description

(1) Technical field: [0001] The invention relates to the field of harmonic detection, in particular to an APF harmonic detection system and detection method based on the minimum root mean square of neural network (Artificial Neural Networks, ANN). (two) background technology: [0002] The active power filter (called APF after active power filter) is a power electronic compensation system, which is connected between the power supply and important loads, and has good dynamic performance and harmonic characteristics. The harmonic current detection system of the active power filter provides a current reference for the accurate compensation of the active power filter control system, which is the key to determine the performance of the APF. [0003] Among several harmonic current detection methods currently used in APF, the detection method based on instantaneous reactive power theory is recognized as the most successful method. In theory, this method can detect harmonics and reac...

Claims

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Application Information

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IPC IPC(8): G01R23/16G01R23/175G01R19/02G01R19/06
Inventor 吴凤英赵健马幼捷周雪松田程文
Owner TIANJIN UNIVERSITY OF TECHNOLOGY
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