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A distribution network optimization accurate analysis method and system based on deep learning

A deep learning and distribution network optimization technology, applied in the field of distribution network, can solve problems such as poor stability affecting customer experience, long power back-up time, etc., to achieve the effects of ensuring standardization, improving recognition accuracy, and strong generalization ability

Inactive Publication Date: 2019-04-09
STATE GRID SHANDONG ELECTRIC POWER +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, judging from the current status quo, the power back-up time is too long, and the poor stability affects the customer experience

Method used

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  • A distribution network optimization accurate analysis method and system based on deep learning
  • A distribution network optimization accurate analysis method and system based on deep learning
  • A distribution network optimization accurate analysis method and system based on deep learning

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Embodiment Construction

[0062] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0063] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

[0064] In a typical implementation of the present application, such as figure 1 As shown, a precise analysis me...

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Abstract

The invention discloses a distribution network optimization accurate analysis method and system based on deep learning. The method comprises the steps: building a distribution network equipment standing book system, and recording the capacity and load information of a transformer substation, a distribution line and a branch line through the system; Establishing a distribution network topological structure model, determining a connection relationship between the distribution network devices according to the distribution network data recorded in the distribution network device standing book system, and displaying the topological relationship of the distribution network in real time; According to the distribution network topology data generated by the distribution network topology structure model, displaying load data of the line, carrying out trial calculation on branches and node attributes of the topology, evaluating an equipment operation state according to a deep learning model, analyzing a load transfer magnitude and a current limiting value of the line, and planning a transfer path and a transfer load magnitude; And predicting and analyzing the load by using the neural networkmodel. According to the technical scheme of the invention, the management of the equipment ledger, the planning of the transfer path and the prediction of the load can be realized on the whole.

Description

technical field [0001] The present disclosure relates to the technical field of distribution network, in particular to a method and system for precise analysis of distribution network optimization based on deep learning. Background technique [0002] With the liberalization of my country's electricity market, the competition in the electricity market is becoming more and more fierce. How to gain the initiative in the market is, in the final analysis, the satisfaction of electricity customers. In the experience of electricity customers, the stability and quality of electricity are the most important Important indicators. However, judging from the current status quo, the power back-up time is too long, and the poor stability affects the customer experience. Taking the urban area of ​​Linyi City as an example, after years of transformation, the distribution network has formed a huge power supply network in which many lines can switch power supply to each other. A line can choos...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06G06N3/00
CPCG06N3/006G06Q10/04G06Q50/06Y04S10/50
Inventor 桑田孙崇高李兆平赵永贵段福凯张刚戴建强庄雷明孙术伟朱强李珊魏恒胜王明钦刘克东王志红周学新
Owner STATE GRID SHANDONG ELECTRIC POWER
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