Power grid operation risk intelligent alarm system based on big data analysis

Abstract

The invention discloses a power grid operation risk intelligent alarm system based on big data analysis. The system is characterized in that the system comprises a data obtaining layer, a data analysis layer and a data display layer; the data obtaining layer is used for obtaining scheduling data supporting a scheduling decision and power grid real-time operation information; the data analysis layer is used for evaluating an existing operation risk through big data analysis according to data acquired by the data obtaining layer; the data display layer is used for displaying the evaluation data analyzed by the data analysis layer. According to the system, various risk prompts are displayed in time, quickly and reliably through the display layer, so that timely prompting can be realized; power supply risks caused by untimely risk warning is reduced or avoided in time, the power grid operation risk management and control level is effectively improved, and the electric charge loss caused by power failure of power transmission and transformation equipment is reduced.

Description

technical field [0001] The invention relates to the field of power grid monitoring, in particular to an intelligent warning system for power grid operation risks based on big data analysis. Background technique [0002] With the rapid development of power grid construction, the current power grid operation grid structure is relatively complex and the amount of information is large. In normal mode, maintenance mode and abnormal mode, the investigation of operation risk points requires dispatchers to manually search, summarize and analyze, and the workload is heavy. It takes a long time, and the possibility of omission is high, and there is a risk that management and control measures cannot be taken in a timely and effective manner for weak points in power grid operation. There are shortcomings such as low degree of data correlation and scattered scheduling data between the existing scheduling operation platforms. During the dispatching operation of the power grid, the dispat...

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of power grid construction, the current power grid operation grid structure is relatively complex and the amount of information is large. In normal mode, maintenance mode and abnormal mode, the investigation of operation risk points requires dispatchers to manually search, summarize and analyze, and the workload is heavy. It takes a long time, and the possibility of omission is high, and there is a risk that management and control measures cannot be taken in a timely and effective manner for weak points in power grid operation

There are shortcomings such as low degree of data correlation and scattered scheduling data among the existing scheduling operation platforms

During the dispatching operation of the power grid, the dispatcher needs to collect, integrate, analyze and make decisions on data information such as the D5000 system, OMS (dispatching management system) and dispatching ledger. In this situation, it is even more impossible to assist the dispatcher in emergency response in time

[0003] In view of the above defects, the present invention develops an intelligent warning and control system for power grid operation risk through big data analysis of dispatch data supporting dispatch decision-making and real-time power grid operation information, and solves the problems of untimely power grid operation risk warning and inaccurate management and control

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