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

Abstract

The invention belongs to the power grid technical field and relates to a monitoring information-based power grid cascading fault diagnosis, early warning and evaluation system. The system comprises apower 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 the diagnosis query of power grid faults; the power grid cascading fault early warning subsystem is used for performing early warning analysis on the power grid faults; and the power grid cascading fault evaluation subsystem is used for evaluating power grid fault diagnosis and early warning information, and issuing an evaluation report. With the system of the invention adopted, the centralized access of related equipment information is realized; the problem of the discrete storage of different equipment related information can be solved; data source ends are standardized,so that equipment monitoring information post-event analysis is transformed to during-event pre-judgment and processing; a big data analysis technical means is adopted, and therefore, the intelligentlevel of monitoring information analysis can be greatly improved, and more effective and practical technical support can be provided for centralized monitoring 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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