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Identification Method of Lightning Current Waveform Parameters Based on Powell Algorithm and Particle Swarm Algorithm

A particle swarm algorithm and waveform parameter technology, applied in the direction of measuring current/voltage, measuring electrical variables, instruments, etc., can solve the problems of small number of convergence iterations, easy to stagnate in local optimal results, etc., and achieve fast convergence speed and small convergence effect of error

Active Publication Date: 2019-07-26
TSINGHUA UNIV
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Problems solved by technology

The invention overcomes the shortcoming that the single particle swarm algorithm used in the traditional lightning current waveform parameter identification method is easy to stagnate in the local optimal result, and compared with the Nelder-Mead simplex method plus particle swarm algorithm, it has more convergence iterations The advantage of being small, the waveform parameter identification of the measured lightning base current data can effectively help realize the digital monitoring of lightning protection in power electronic systems

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  • Identification Method of Lightning Current Waveform Parameters Based on Powell Algorithm and Particle Swarm Algorithm
  • Identification Method of Lightning Current Waveform Parameters Based on Powell Algorithm and Particle Swarm Algorithm
  • Identification Method of Lightning Current Waveform Parameters Based on Powell Algorithm and Particle Swarm Algorithm

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[0053] The lightning current waveform parameter recognition method based on the Powell algorithm and the particle swarm algorithm proposed by the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0054] The lightning current waveform parameter identification method based on Powell algorithm and particle swarm algorithm proposed by the present invention, its overall process is as follows figure 1 shown, including the following steps:

[0055] 1) A current sensor is installed at the bottom of the artificial lightning rod. The current sensor generally uses a Rogowski coil. In this embodiment, a Rogowski coil is used to measure the lightning current. The measuring range is ±50kA and the sampling frequency is 10MHz. Obtain the measured lightning base current (ie lightning current) data through the current sensor;

[0056] 2) Determine the lightning base current function model, according to the meas...

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Abstract

The invention provides a method for identifying lightning current waveform parameters based on a Powell algorithm and a particle swarm algorithm, and belongs to the technical field of lightning monitoring in the electrician field. The method comprises the following steps of firstly, using a current sensor to obtain actually-measured lightning background current data, determining a lightning background current function model, and obtaining waveform parameters of the lightning background current according to the actually-measured lightning background current data; using the Powell algorithm and the particle swarm algorithm to identify the waveform parameters of the actual lightning background current waveform parameters. The method has the advantages that the defect of liability of staying at the local optimal result due to use of the particle swarm algorithm in the traditional lightning current waveform parameter identifying method is overcome; compared with the Nelder-Mead simplex method and the particle swarm algorithm, the convergent iterative frequency is lower; after the actually-measured lightning background current data is subjected to waveform parameter identifying, the digitalized monitoring of the lightning protection of a power electronic system is effectively realized.

Description

technical field [0001] The invention belongs to the technical field of lightning monitoring in the electrical field, and in particular relates to a lightning current waveform parameter identification method based on Powell algorithm and particle swarm algorithm. Background technique [0002] Lightning is one of the top ten natural disasters. The large current, high voltage and strong electromagnetic field it generates in an instant will not only cause human and livestock casualties, but also have a huge destructive effect on the natural resources on which human beings depend and the material wealth created by human beings. Equipment and facilities in national economic sectors such as aerospace, railway transportation, and even financial securities have caused damage. Therefore, issues such as lightning phenomena, lightning physics, lightning warning and protection are still hot research issues in the fields of atmospheric electricity, power systems, and discharge physics. ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R19/00
CPCG01R19/00
Inventor 何金良杨滚余占清陈水明
Owner TSINGHUA UNIV