Grid cascading fault diagnosis, early warning and evaluation system based on monitoring information

Abstract

The invention relates to the technical field of power grids, in particular to a monitoring information-based power grid cascading fault diagnosis, early warning and evaluation system. The system includes a power grid cascading fault diagnosis subsystem, a power grid cascading fault early warning subsystem, and a power grid cascading fault evaluation subsystem; the power grid cascading fault diagnosis subsystem is used for diagnosis and query of power grid faults; Early warning analysis of grid faults; the grid cascading fault evaluation subsystem is used to evaluate grid fault diagnosis and early warning information, and issue an evaluation report. This system realizes the centralized access of relevant equipment information, solves the problem of discrete storage of different equipment-related information, and through standardizing the data source, it transforms the post-event analysis of equipment monitoring information into pre-event evaluation, in-event prediction and processing, and utilizes big data Analytical technical means, greatly improving the intelligent level of monitoring information analysis, and providing more effective and practical technical support for centralized monitoring and operation.

Description

technical field [0001] The invention relates to the technical field of power grids, in particular to a monitoring information-based power grid cascading fault diagnosis, early warning and evaluation system. Background technique [0002] After the implementation of the large-scale operation, the control center is responsible for the centralized monitoring of unattended substations. The monitoring information of substations should be uploaded to the monitoring system of the control center in accordance with the technical requirements of unattended substations and the requirements of the national grid monitoring information specifications. The amount of monitoring information is huge. For example, the company The city survey is responsible for centralized monitoring of more than 100 substations of 220 kV and above in the power grid. Traditional monitoring signal statistics and analysis mainly rely on the familiarity and work experience of the power grid history and current powe...

AI Technical Summary

Problems solved by technology

Traditional monitoring signal statistics and analysis mainly rely on the familiarity and work experience of the power grid history and current power grid operation, lack of scientific and quantifiable data for reference, and no reliable technical aids to achieve intelligent analysis

Secondly, due to the increasing complexity of access monitoring signal equipment, there are more and more types of monitoring information. The traditional monitoring information management mode faces many limitations and cannot meet the requirements of centralized monitoring of the current megacity power grid. Therefore, it is urgent to standardize monitoring at the substation side Data interface and services, carry out basic research on the application of substation equipment monitoring data based on big data technology, realize the standardization and standardized management of monitoring signals, make full use of the advantages of monitoring information big data, do a good job in pre-evaluation, in-process prediction and processing, and Adapt to the needs of integrated management of modern large power grid regulation

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