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A Segmented DC Arc Noise Model, Parameter Optimization and Identification Method

A DC arc and noise model technology, applied in noise factor or signal-to-noise ratio measurement, calculation model, chaotic model, etc., can solve problems such as slow convergence speed, falling into local optimum, genetic algorithm and particle swarm optimization algorithm prone to premature maturity, etc. , to achieve the effect of improving the accuracy and speeding up the convergence speed

Active Publication Date: 2021-10-26
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Application Information

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Problems solved by technology

However, the genetic algorithm and particle swarm optimization algorithm have the problems of being premature, falling into local optimum and slow convergence.

Method used

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  • A Segmented DC Arc Noise Model, Parameter Optimization and Identification Method
  • A Segmented DC Arc Noise Model, Parameter Optimization and Identification Method
  • A Segmented DC Arc Noise Model, Parameter Optimization and Identification Method

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Embodiment Construction

[0041] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0042] Step 1: collect the DC arc current signal, and perform Fourier decomposition on the collected current signal to obtain the frequency domain distribution characteristics of the current;

[0043] Step 2: Establish a segmented DC arc noise model according to the spectral distribution characteristics of the DC arc current, and its expression is:

[0044]

[0045] In the formula, f is the frequency value, f 0 is the inflection point frequency, L is the control parameter of the spectrum energy amplitude, c is the control parameter of the spectrum energy decline rate, S(f) is the spectrum distribution of the model output, S w (f) is the spectrum distribution of the model input signal WS. WS conforms to a normal distribution, and its expression is shown in formula (2):

[0046] WS~N(0,1) (2)

[0047] Step 3: Set the expression of the o...

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Abstract

The invention discloses a segmented direct current arc noise model, parameter optimization and identification method. The segmental direct current arc noise model parameter identification method includes the following steps: 1) obtaining DC arc current data; 2) according to the frequency domain of the direct current arc current 3) Determine the objective function and the parameters to be identified; 4) Use the chaotic map to initialize the chaotic quantum cuckoo optimization algorithm to optimize the model parameters. The invention adopts a segmented DC arc noise model, so that the output of the model can flexibly fit the characteristics of the arc current spectrum distribution under different working conditions. The invention improves the traditional quantum cuckoo optimization algorithm based on the three mechanisms of chaos initialization, chaos random parameter generation and chaos local search, enhances the convergence speed of the algorithm and the ability of the algorithm to jump out of the local minimum point, thereby realizing more accurate identification of the segmented DC arc Noise model parameters.

Description

technical field [0001] The invention relates to a segmented DC arc noise model and its parameter optimization and identification methods, belonging to the field of arc fault detection. [0002] technical background [0003] DC power distribution systems are used in more and more fields, such as more electric aircraft, residential buildings, and electric vehicles. However, the increase of system complexity and voltage level has brought great challenges to the safe and stable operation of DC power distribution system. Among them, the DC arc fault is an important fault form in the DC power distribution system. Compared with the AC arc fault, the DC arc fault has no zero crossing point, it is difficult to extinguish itself, and its harm is more serious. DC arc faults are usually caused by loose connectors, frayed, broken wires, and aging. In the process of breakdown air discharge, DC arc fault will produce strong light, noise, electromagnetic radiation and release a lot of hea...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R29/26G06F30/20G06N3/00
CPCG06N3/006G06F30/27G06N7/08G06N10/00
Inventor 王莉尹振东杨善水张瑶佳高杨
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS