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Power grid fault diagnosis method and system based on SE-Inception network

A technology for power grid faults and diagnosis methods, which is applied in fault locations, neural learning methods, biological neural network models, etc., can solve problems such as low versatility, power grid faults cannot meet the safe and stable operation of power grids, and modeling process models are difficult to maintain. , to achieve the effect of saving labor costs and high accuracy

Pending Publication Date: 2022-06-17
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The existing fault diagnosis technology needs to introduce a large number of protection and equipment action rules in the early stage of modeling, the modeling process and model maintenance process are difficult, and the versatility is low
When using the alarm information generated at the time of failure for fault diagnosis, a large number of alarm information not only includes switching information such as protection action and circuit breaker tripping, but also includes non-fault critical information such as device abnormality, voltage over limit, control circuit disconnection, and energy storage in place. information, only dispatching and operating personnel can diagnose power grid faults based on experience, which cannot meet the growing requirements for safe and stable operation of power grids

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  • Power grid fault diagnosis method and system based on SE-Inception network
  • Power grid fault diagnosis method and system based on SE-Inception network
  • Power grid fault diagnosis method and system based on SE-Inception network

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Embodiment Construction

[0065] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solutions of the present invention more clearly, and cannot be used to limit the protection scope of the present invention.

[0066] like Figure 1-2 As shown, Embodiment 1 of the present invention provides a power grid fault diagnosis method based on SE-Inception network, which is suitable for a fault diagnosis system whose fault information source is power grid fault alarm information. In the preferred but non-limiting embodiment of the present invention , the method includes the following steps:

[0067] S1. Collect the alarm information text when the power grid fails from the SCADA system, and preprocess the alarm information text, including:

[0068] S1.1. The SCADA system obtains in real time the sequence of events (sequence of events, SOE) generated by the monitoring equipment when an accident occu...

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Abstract

The invention discloses a power grid fault diagnosis method and system based on an SE-Inception network, and the method comprises the steps: collecting an alarm information text when a power grid fails, and carrying out the preprocessing of the alarm information text; performing feature dimension reduction and sorting on the pre-processed alarm information text to obtain a feature information text, and encoding and normalizing an alarm event corresponding to the feature information text; converting the alarm information of different fault types into an alarm event coding matrix, and converting the alarm event coding matrix into an alarm information grey-scale map; a power grid fault diagnosis model based on an SE-Inception network is constructed; and inputting the warning information grey-scale map into the power grid fault diagnosis model to obtain a power grid fault type judgment result. The method does not need to introduce a large amount of knowledge for describing behaviors of a protection system, only needs to extract the graphic features corresponding to different fault types for the alarm information text, and can achieve the more convenient and higher-accuracy power grid fault diagnosis.

Description

technical field [0001] The invention belongs to the technical field of power grid fault diagnosis, and relates to a power grid fault diagnosis method and system based on SE-Inception network. Background technique [0002] The Supervisory Control And Data Acquisition (SCADA) system, as one of the most important subsystems in the energy management system EMS, can monitor and control the on-site operating equipment to realize data acquisition, equipment control, measurement, parameter Various functions such as adjustment and various signal alarms have the advantages of complete information, improved efficiency, correct grasp of system operating status, accelerated decision-making, and can help quickly diagnose system failure status. Now it has become an indispensable tool for power dispatching. SCADA system plays an irreplaceable role in improving the reliability, safety and economic benefits of power grid operation, reducing dispatchers, realizing automation and modernization ...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N3/08G01R31/08G06V10/764G06V10/774G06V10/82G06V10/42
CPCG06N3/08G01R31/086G01R31/088G06N3/045G06F18/241G06F18/214
Inventor 张旭张紫琪郭子兴杜明轩
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)