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SVM-based power distribution network device equipment fault analysis method

A technology of equipment failure and analysis method, applied in the direction of nuclear method, data processing application, instrument, etc., can solve the problem that the control box is not equipped with remote communication interface, the switch status and normal telemetry cannot be uploaded, and the risk warning of power grid line failure is not timely To achieve the effect of improving risk assessment capabilities, accurate fault classification, and reducing the impact of power outages

Pending Publication Date: 2022-03-29
SHANGHAI MUNICIPAL ELECTRIC POWER CO +1
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Problems solved by technology

The invention alleviates the problems that the existing power grid line failure risk warning is not timely, the control box is not equipped with a remote communication interface, and the switch status and normal telemetry cannot be uploaded

Method used

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  • SVM-based power distribution network device equipment fault analysis method
  • SVM-based power distribution network device equipment fault analysis method
  • SVM-based power distribution network device equipment fault analysis method

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Embodiment Construction

[0021] In order to better understand the technical scheme of the present invention, it will be described in detail below through specific examples:

[0022] see figure 1 A kind of SVM-based distribution network device equipment fault analysis method of the present invention, comprises the following steps:

[0023] Step 1, select an iron-clad distribution network line, and collect the voltage, current and temperature parameters on the line under normal or fault conditions in the past year;

[0024] Step 2, preprocessing the obtained data;

[0025] Step 3, according to the training samples, train the support vector machine classification model to obtain attribute accumulation parameters and classification domain values. The attribute accumulation parameters are all attribute accumulation parameters corresponding to each sensor node. For a support vector machine classification model, the classification domain value is one.

[0026] The process of data preprocessing in step 2 i...

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Abstract

The invention discloses a power distribution network device equipment fault analysis method based on an SVM (Support Vector Machine), which mainly uses a support vector machine classification method in machine learning, and comprises the following steps: firstly, selecting a specific power distribution network line, and collecting important parameters such as voltage, current and temperature on the line under normal or fault conditions in recent years; then, initializing the obtained data, and classifying the data into a normal category and a fault category; and then, according to the training sample, training a support vector machine classification model to obtain an attribute accumulation parameter and a classification domain value, and finally determining the classification condition of the training data under the assistance of the SVM. According to the invention, power distribution network terminal device equipment fault risk analysis can be realized, fault information can be reported in time, and power failure influence is reduced.

Description

technical field [0001] The present invention relates to a technology for analyzing the risk of failure of distribution network terminal equipment, in particular to a risk assessment method based on SVM. Background technique [0002] The operation status of electrical equipment in the power grid has a great impact on the safety and reliability of the power system. The failure of electrical equipment often causes power outages for users, resulting in direct economic losses, and requires a lot of time and money for maintenance and repair. Therefore, scientific and reasonable operation and maintenance methods should be adopted for electrical equipment to improve the pertinence and effectiveness of maintenance, find problems in the bud and solve them in time, so as to ensure the safety of the system and the reliability of power supply, and create more for the power grid. economic and social benefits. With the proposal and development of smart grid, the optimal management of powe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/00G06Q10/06G06Q50/06G06K9/62G06N20/10
CPCG06Q10/20G06Q10/0635G06Q50/06G06N20/10G06F18/2411
Inventor 彭扬帆施春波季欢庆季东辉童欣
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
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