Reliability evaluation method and system for distributed state sensor of power distribution main equipment

Abstract

The invention discloses a reliability evaluation method and system for a distributed state sensor of power distribution main equipment, and the method comprises the steps: autonomously extracting thespace-time distribution features of data through a space-time diagram convolution neural network SASTGCN model based on a self-attention mechanism, building a nonlinear relation between the data of the distributed state sensor and an evaluation value. Problems of nonlinearity, uncertainty and the like in reliability evaluation can be well solved. The limitations that uncertainty factors and subjective factors of people in a previous reliability evaluation method greatly influence an evaluation result, the calculation complexity is high, correlation analysis and sensitivity analysis are not accurate enough and the like are overcome. By using the method, the spatial-temporal characteristics in the sensor data can be accurately captured, the complex mapping between the sensor data and the evaluation value can be well simulated, the nonlinear relationship between the evaluation value and the sensor data can be established, the evaluation precision is high, and the practical value in engineering is high.

Description

technical field [0001] The invention belongs to the technical field of reliability self-sensing of power distribution network, and relates to a method and system for evaluating the reliability of distributed state sensors of main power distribution equipment. Background technique [0002] As a key link connecting power transmission and users, the distribution network's safe and reliable operation is of great importance to the stability of the power system and user experience. Applying self-sensing technology on the distribution network and installing distributed sensing devices on the main distribution equipment is an important measure to comprehensively collect the operation of the distribution network, monitor the status of the equipment, and realize the equipment management of the whole life cycle. It is conducive to improving the stability of the power system and the sense of user experience. However, once the sensor device fails, it will pose a serious threat to the sa...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problems existing in the prior art, the purpose of the present invention is to solve the traditional reliability evaluation method with high calculation complexity, inaccurate correlation analysis and sensitivity analysis, uncertainty factors and human subjective factors have great influence on the evaluation results, etc. To solve the problem, a method and system for evaluating the reliability of distributed state sensors of power distribution main equipment are provided

The model mines the spatio-temporal characteristics of the data through independent training, establishes the nonlinear relationship between the evaluation value and the sensor data, completely overcomes the traditional evaluation method's uncertainty factors and human factors that have a great influence on the evaluation results, and the computational complexity High, insufficient correlation analysis and other issues

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