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Medium-voltage distribution network power failure event diagnosis and identification method and system, and storage medium

A recognition method and event technology, applied to electrical components, AC network circuits, character and pattern recognition, etc., can solve the problems of complex distribution network structure, low operation and maintenance level, poor reliability, etc., and achieve good application prospects and clear principles , the effect of high accuracy

Pending Publication Date: 2021-12-31
STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] As the terminal link of power transmission, the distribution network is the most intuitive object for users to experience the service of the power grid. However, the structure of the distribution network is complex and there are many equipments, and it faces the dilemma of low operation and maintenance level and poor reliability.
In the traditional distribution network power outage management work, it often relies on the accuracy of device collection. This kind of management method is relatively extensive, the work efficiency is low, and the phenomenon of missing reports is more common.
The incompleteness of distribution network failure and power outage information will affect the decision-making of distribution network reliability analysis, patrol inspection, grid upgrade, etc.

Method used

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  • Medium-voltage distribution network power failure event diagnosis and identification method and system, and storage medium
  • Medium-voltage distribution network power failure event diagnosis and identification method and system, and storage medium
  • Medium-voltage distribution network power failure event diagnosis and identification method and system, and storage medium

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Embodiment 1

[0053]Embodiments of the present invention provide a method for diagnosing and identifying power outage events in medium-voltage distribution networks based on massive data analysis, such as figure 1 As shown, it specifically includes the following steps:

[0054] Step (A), obtain the distribution transformer measurement in the distribution network, the bottom of the table, the corresponding line power data, other system record data, and the power outage data of the past week, specifically including the three-phase voltage data and active power data of the distribution transformer , Freeze the data at the bottom of the table and the line power data of the lines to which the distribution transformers belong, the planned power outage data in the production management system, the power outage record data in the power consumption information collection management system, and the accident opening record data in the dispatch management system , FA (feeder automation) action record d...

Embodiment 2

[0072] Step (A) Obtain the measurement, meter bottom and corresponding line power data of the distribution transformer in the distribution network;

[0073] Step (B) generating distribution transformer primary outage fragments based on the obtained distribution transformer measurement data;

[0074] In a specific implementation manner of the embodiment of the present invention, the step (B) specifically includes the following sub-steps:

[0075] Considering that when the active power and voltage measurement data of distribution transformers drop to 0 or empty at the same time, it may be a real power outage, or it may be a false power outage caused by signal transmission, data storage, etc., and it is necessary to effectively and reasonably distinguish the real power outage through data analysis methods. Blackouts and false blackouts.

[0076] A distribution transformer T k Connected to the line f, the distribution transformer T k The measured data of active power is P k =[...

Embodiment 3

[0084] Step (A) Obtain the measurement, meter bottom and corresponding line power data of the distribution transformer in the distribution network;

[0085] Step (B) generating distribution transformer primary outage fragments based on the obtained distribution transformer measurement data;

[0086] Step (C) select each characteristic data under the corresponding line of each distribution transformer, and use the ratio of each characteristic data to the power consumption during the power outage period on a similar day as a characteristic value to add historical power outage data to form a sample data set;

[0087] The characteristic data includes:

[0088] One is the total distribution variables of the distribution transformer corresponding to the line, and the number of distribution transformers connected to the line;

[0089] The second is the number of primary power outage fragments under the corresponding line of the distribution transformer;

[0090] The third is the av...

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Abstract

The invention discloses a medium-voltage power distribution network power failure event diagnosis and identification method and system, and a storage medium. The method comprises the following steps: acquiring basic data in a power distribution network; generating primary power failure fragments of the distribution transformer; selecting each characteristic data under the corresponding line of each distribution transformer to form a sample data set; dividing the sample data set, using one part of data to train an artificial intelligence model, and using the other part of data to test the model training effect and model tuning; selecting a decision-making tree model as the artificial intelligence model, training the decision-making tree model, and carrying out model evaluation; and carrying out batch identification on the power failure events of the distribution transformer in the actual power distribution network by using the trained artificial intelligence model to obtain true and false power failure results corresponding to the power failure events. Distribution transformer operation data change characteristics are learned through the data model, whether the distribution transformer has real power failure or not is judged, and accurate collection of medium-voltage distribution network power failure events is achieved.

Description

technical field [0001] The invention belongs to the field of identification and analysis of power outage events in a medium-voltage distribution network, and relates to a precise diagnosis method for a power outage event in a distribution network, in particular to a precise diagnosis method for a power outage event in a medium-voltage distribution network. Background technique [0002] As the terminal link of power transmission, the distribution network is the most intuitive object for users to experience the service of the power grid. However, the structure of the distribution network is complex and there are many equipments, and it faces the dilemma of low operation and maintenance level and poor reliability. In the traditional distribution network power outage management work, it often relies on the accuracy of device collection. This management method is relatively extensive, the work efficiency is low, and the phenomenon of missing reports is common. The incompleteness ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00G06Q50/06G06K9/62
CPCH02J3/001G06Q50/06H02J2203/20G06F18/214G06F18/24323
Inventor 陈烨陈锦铭赵新冬刘利国陆敏叶宜修蔡云峰叶迪卓然焦昊方鑫史明明李娟苏伟肖小龙吕朋蓬
Owner STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST
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