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Differential protection fault detection method, device and system of energy storage tramcar super-capacitor charging device

A technology for charging devices and trams, applied to fault locations, measuring devices, measuring current/voltage, etc., can solve problems such as increased workload, inability to judge faults, and difficult maintenance work, so as to ensure reliability and shorten troubleshooting time, high detection accuracy

Active Publication Date: 2020-01-03
NARI TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the energy storage tram charging device is not an independent system during the charging process. The upper level involves the rectification system, and the lower level involves the on-board capacitor system. Once the charging device fails, it cannot be determined whether it is caused by the upper and lower systems. failure
This has brought great difficulties and increased a lot of workload to the maintenance work on site.

Method used

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  • Differential protection fault detection method, device and system of energy storage tramcar super-capacitor charging device
  • Differential protection fault detection method, device and system of energy storage tramcar super-capacitor charging device
  • Differential protection fault detection method, device and system of energy storage tramcar super-capacitor charging device

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Experimental program
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Effect test

Embodiment 1

[0055] This embodiment is a differential protection fault detection method for an energy storage tram supercapacitor charging device, including:

[0056] Collect real-time voltage and current data on the input side of the charging device, real-time voltage and current data on the output side, voltage and current fault data on the input side, and voltage and current fault data on the output side;

[0057] Based on the collected real-time data, calculate the input-output current differential data;

[0058] Use the collected real-time data and current differential data as the input layer neuron data of the pre-built BP neural network model to obtain the output data of the BP neural network model;

[0059] According to the output data of the BP neural network model, the location of the fault point is judged.

[0060] The above input side voltage and current fault data and output side voltage and current fault data can be obtained through the control platform of the charging devic...

Embodiment 2

[0081] Based on the same inventive concept as Embodiment 1, this embodiment is a differential protection fault detection device for an energy storage tram supercapacitor charging device, including:

[0082] The data collection module is used to collect real-time voltage and current data on the input side of the charging device, real-time voltage and current data on the output side, voltage and current fault data on the input side, and voltage and current fault data on the output side;

[0083] The differential calculation module is used to calculate the input-output current differential data based on the collected real-time data, and then determine the current differential flag bit according to the calculation result;

[0084] The neural network calculation module is used to obtain the output data of the BP neural network model by using the collected real-time data and the current differential flag as the input layer neuron data of the pre-built BP neural network model;

[008...

Embodiment 3

[0088] This embodiment is a differential protection fault detection system for an energy storage tram supercapacitor charging device, which includes a detection device and an integrated control platform connected and communicated through a network; The fault detection method of the differential protection of the capacitor charging device is to use the BP neural network model to determine the location information of the fault point with the set detection cycle;

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Abstract

The invention discloses a differential protection fault detection method, a differential protection fault detection device and a differential protection fault detection system of an energy storage tramcar super capacitor charging device based on a BP neural network. The method comprises the following steps: collecting real-time voltage and current data at the input side of the charging device, real-time voltage and current data at the output side of the charging device, voltage and current fault data at the input side of the charging device and voltage and current fault data at the output sideof the charging device; calculating to obtain input-output current differential data based on the collected real-time data; taking the collected real-time data and current differential data as inputlayer neuron data of a pre-built BP neural network model to obtain output data of the BP neural network model; and judging the positions of fault points according to the output data of the BP neural network model. The detection accuracy is high, the overhaul time can be shortened, and the troubleshooting work efficiency of the fault points is improved.

Description

technical field [0001] The invention relates to the technical field of urban rail transit charging, in particular to a BP neural network-based differential protection fault detection method, device and system for an energy storage tram supercapacitor charging device. Background technique [0002] With the strong demand for transportation in urban construction, urban rail transit has developed rapidly. Among them, energy storage trams, which are the main form of modern trams, have developed particularly rapidly. advantage. [0003] Energy storage tram is a new type of rail transportation, which mainly uses supercapacitors as the power unit of the vehicle. The vehicle can convert more than 85% of the braking energy into electric energy and store it for reuse. The operation of the vehicle does not require overhead catenary power supply, and the electric energy can be supplemented during the time of parking and unloading at the station. It has no visual pollution, no power tra...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/08G01R19/00G06N3/04
CPCG01R31/088G01R19/00G06N3/044
Inventor 彭国敬封阿明陶正华雷磊田炜孙祖勇朱丹王琴徐峻峰
Owner NARI TECH CO LTD
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