Load characteristic analysis system and method based on neural network

A technology of load characteristics and neural network, which is applied in the field of load characteristic analysis system based on neural network, can solve problems such as inability to identify load and inaccurate identification, and achieve the effect of ensuring fast consistency and convenient judgment

Pending Publication Date: 2021-10-22
国网青海省电力公司营销服务中心 +1
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

The existing technology cannot identify the load, or the identification is inaccurate

Method used

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  • Load characteristic analysis system and method based on neural network
  • Load characteristic analysis system and method based on neural network

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Embodiment 1

[0023] Embodiment 1, the present invention provides a kind of load characteristic analysis system based on neural network, comprises analog acquisition sensor, signal conditioning circuit, A / D conversion board, FPGA unit, DSP calculation unit, load characteristic data output display unit; Analog acquisition The sensor is connected to the signal conditioning circuit, the signal conditioning circuit is connected to the A / D conversion board, the A / D board is connected to the FPGA unit, the FPGA unit is connected to the DSP calculation unit, and the DSP calculation unit is connected to the load characteristic data output display unit.

[0024] The analysis method based on the above-mentioned analysis system comprises the following steps:

[0025] Step 1. At the load site, use the analog acquisition sensor to collect the voltage and current signals of the load on site;

[0026] Step 2, the collected voltage and current signals are adjusted by the signal conditioning circuit to beco...

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Abstract

The invention discloses a load characteristic analysis system and method based on a neural network, and relates to the technical field of power system analysis. The system comprises an analog collection sensor, a signal conditioning circuit, an A / D conversion board card, an FPGA unit, a DSP calculation unit, and a load characteristic data output display unit. The analog collection sensor is connected with the signal conditioning circuit, the signal conditioning circuit is connected with the A / D conversion board card, the A / D conversion board card is connected with the FPGA unit, the FPGA unit is connected with the DSP calculation unit, and the DSP calculation unit is connected with the load characteristic data output display unit. The invention has the advantages that on-site collection and analysis of on-site load characteristic data can be achieved, and engineering technicians can conveniently judge on-site carrier communication influence factors.

Description

technical field [0001] The invention relates to the technical field of power system analysis, in particular to a neural network-based load characteristic analysis system and method. Background technique [0002] Load characteristics are the unique electrical characteristics of electrical equipment when they consume electricity. Different electrical equipment has large or small differences in load characteristics when they are working. For example, different equipment consumes different active and reactive power, and the current of linear loads and nonlinear loads The curve and harmonic content are different, and the V-I characteristics of electric loads and non-electric loads are different. [0003] With the continuous construction and development of smart communities and industrial electricity consumption in my country, a large amount of residential electricity consumption data has been accumulated. In the face of scattered massive data, it is necessary to mine and study t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/04G06N3/08G06F18/211G06F18/23
Inventor 李汐崔胜胜孙剑锋马斌华书蓓杨艳高阳刘于超包积花王逸晖龙存玉李琰
Owner 国网青海省电力公司营销服务中心
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