Adaptive kernel function and instantaneous frequency estimation-based fault arc detection method of photovoltaic system

A fault arc, photovoltaic system technology, applied in photovoltaic system monitoring, nuclear methods, photovoltaic power generation and other directions, to achieve good concentration, solve cross-term interference, and reduce hardware dependence.

Active Publication Date: 2019-04-02
XI AN JIAOTONG UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to provide a photovoltaic system arc fault detection method based on adaptive kernel function and instantaneous frequency estimation to solve the problem of accurate, reliable and fast identification of fault arc in the case of arc-like interference in the photovoltaic system

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  • Adaptive kernel function and instantaneous frequency estimation-based fault arc detection method of photovoltaic system
  • Adaptive kernel function and instantaneous frequency estimation-based fault arc detection method of photovoltaic system
  • Adaptive kernel function and instantaneous frequency estimation-based fault arc detection method of photovoltaic system

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Embodiment Construction

[0040] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0041] (1) The hardware implementation of the photovoltaic system arc fault detection algorithm proposed by the present invention

[0042] Firstly, the current signals of the photovoltaic system under different arc conditions and fault arc conditions are sampled according to the time window. If the current signals are collected by the Hall sensor, the follow-up is performed after high-pass filtering (the purpose of filtering is to remove the DC component). feature layer processing; if the current signal is collected by a current transformer, then directly perform subsequent feature layer processing. The Hall sensors or current transformers are installed in the photovoltaic strings to be monitored or on the photovoltaic array converging DC bus, and can also share the inverter to collect the system current. Such as figure 1 As shown, the collected cur...

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Abstract

The invention discloses an adaptive kernel function and instantaneous frequency estimation-based fault arc detection method of a photovoltaic system. The adaptive kernel function and instantaneous frequency estimation-based fault arc detection method comprises the steps of acquiring a signal xt by a time window with TNCT length, performing non-linear frequency modulation wavelet transform to obtain a iteration time-frequency diagram of the xt, and constructing characteristic quantity, used for judging moment when frequency spectrum energy is increased, according to a frequency component in theselected iteration time-frequency diagram; and obtaining a corresponding matrix distribution form of the xt in the time-frequency domain by adaptive optimal kernel time-frequency distribution after an abrupt changing point where the energy is increased is found out, performing square sum on the matrix according to time dimension to obtain a line vector, selecting a plurality of frequency bands, performing frequency-dimensional integral operation on each frequency band to obtain a plurality of characteristic values input into a trained naive bayesian model, and judging a state of the photovoltaic system in a current time frame. By a plurality of effective time-frequency characteristics, a fault arc in the photovoltaic system is accurately identified, meanwhile, no misoperation under various types arc working conditions also can be ensured, and the photovoltaic system safely and stably run.

Description

technical field [0001] The invention belongs to the field of electrical fault detection of photovoltaic systems, and specifically relates to a method of finding the time when spectrum energy increases based on nonlinear frequency modulation wavelet transform, and inputting multiple time-frequency features obtained based on adaptive optimal kernel time-frequency distribution into the simple shell The Yass model is a method for judging the operating state of the photovoltaic system, thereby ensuring that the fault arc can be accurately judged under the interference of various arc conditions, so that the corresponding fault arc can be extinguished and the safe operation of the photovoltaic system can be guaranteed. Background technique [0002] At present, the development of power electronic semiconductor technology enables DC voltage transformation to be realized through DC converters, and the generalized DC load, which accounts for an increasing proportion, can be connected to...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02S50/00
CPCH02S50/00Y02E10/50G05B23/024G06N20/10G06N7/01G06N20/00G05B23/0259
Inventor 李兴文陈思磊徐宁
Owner XI AN JIAOTONG UNIV
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