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Segmental optimization identification method of svg dynamic parameters based on parameter fault characteristics

A parameter failure and dynamic parameter technology, applied in the field of electric power information, can solve problems such as low identification accuracy and slow identification speed

Active Publication Date: 2022-05-31
HANGZHOU DIANZI UNIV
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Problems solved by technology

[0013] Aiming at the problems of numerous SVG controller parameters, low identification accuracy of traditional methods, and slow identification speed, the present invention proposes a new method for SVG dynamic parameter segmentation optimization identification based on parameter fault characteristics

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  • Segmental optimization identification method of svg dynamic parameters based on parameter fault characteristics
  • Segmental optimization identification method of svg dynamic parameters based on parameter fault characteristics
  • Segmental optimization identification method of svg dynamic parameters based on parameter fault characteristics

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Embodiment Construction

[0044] The present invention is further illustrated below in conjunction with the accompanying drawings and examples.

[0045] a. Reference Figure 1 , the present invention is as follows:

[0046] b. Step (1): Establish a mathematical model of SVG access to the power grid.

[0047]Figure 2 For the SVG controller model diagram, in the figure: V is the voltage at the output of svg, V REF is the reference voltage, V SCS for auxiliary signals, V T is the system side voltage, I S is svg output current, T 1 Time constant for filters and measurement loops, T 2 ,T 3 The first stage leading time constant and the second stage lag time constant, respectively, T 4 ,T 5 The second stage leading time constant and the third stage lag time constant, respectively, are T P is the proportional link time constant, T S Response delay for SVG, K P Magnification for the proportional link, K I is the magnification of the integral link, K D Is the slope of the V-I characteristic curve of the SVG, X T is t...

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Abstract

The invention discloses a segmentation optimization identification method of SVG dynamic parameters based on parameter fault characteristics. The present invention proposes to first identify the main parameters according to the track sensitivity. This approach reduces the number of parameters involved in identification. Secondly, according to the influence of the parameters on the fault characteristics, select the segmented data to optimize the parameters respectively, and determine the approximate range of the parameters, so that the identification will not miss the actual parameters due to the incorrect setting of the parameter range. It can improve the speed of parameter identification and reduce the influence of other parameters on the simulation results. Then, according to the parameter range, the overall optimization and accurate identification are carried out to solve the problems of poor stability and difficult convergence that often occur in traditional algorithms, reduce the complexity of parameter identification, and improve the identification accuracy of parameters that have a greater impact on the controller. efficiency.

Description

Technical field [0001] The present invention belongs to the field of power information technology, relates to a svg dynamic parameter segment optimization identification method based on parameter fault characteristics. Background [0002] In recent years, the rapid development of new transmission technologies represented by flexible AC transmission (FACTS) has provided a new method for ensuring the reliable grid connection and stable operation of wind farms. The Static Reactive Power Generator (SVG) is one of the core devices of FACTS and is widely used in transmission grids, distribution networks and new energy power generation [1] 。 SVG plays an important role in the dynamic characteristics of power systems after failure, and accurate SVG controller parameters are the key to the transient simulation analysis of power systems with power electronic equipment. Whether the SVG model parameters are accurate is related to the credibility of the power system simulation calculation, wh...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/08
CPCG01R31/08G01R31/088Y02E40/10
Inventor 高慧敏赵嘉敏钟毅罗平吴晨曦
Owner HANGZHOU DIANZI UNIV
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