Regulation and control cloud-based power grid operation data association analysis method and system

Abstract

The invention discloses a regulation and control cloud-based power grid operation data association analysis method and system, and the method comprises the following steps: (1) employing an association rule classification and mining algorithm, and carrying out the data association analysis of the mass operation data of a power grid; and (2) establishing a relevance model of data and equipment states, and providing technical support for regulation and control cloud power grid operation risk pre-judgment and evaluation analysis. According to the invention, frequent item set mining is carried out by adopting a correlation analysis algorithm, correlation analysis is carried out based on power grid operation event data and historical data in regulation and control cloud general data object structured design, and an equipment defect and fault probability evaluation model is established; substation equipment operation state trend quantitative analysis is provided based on mass operation data of a power grid operation data platform, a behavior identification model of typical fault equipment is established in combination with alarm information, online monitoring data and equipment family information, and operation state and fault association mining and prediction analysis of power grid regulation and control equipment are realized.

Description

technical field [0001] The invention belongs to the technical field of electric power automation, and relates to a method for applying computer algorithms in the field of electric automation, in particular to a method and system for associated analysis of power grid operation data based on a control cloud. Background technique [0002] With the continuous deepening of the construction of my country's UHV interconnected power grid, the scale of the power grid is developing rapidly, the structure of the power grid is becoming more and more complex, and the national network is basically formed, which puts forward higher requirements for the integrated operation level of the large power grid, and it is necessary to further strengthen the supporting capacity of the dispatching control system. Continuously improve the level of real-time sharing of control information, enhance data processing, application computing and service capabilities, and realize wide-area on-demand access to a...

AI Technical Summary

Problems solved by technology

[0004] The power grid dispatching and monitoring system generates a large amount of operational data every day, but these data structures and codes are not uniform, the data volume is huge, and there is a lack of a unified operational data processing center, resulting in many interfaces between systems, and even information islands. Power grid operation and management data have not been effectively integrated and fully utilized, and problems such as data sharing and integrated applications have become increasingly prominent

At the same time, the information system of the dispatching center can only support simple operations such as querying and summarizing the massive historical power grid operation data, measurement data, fault alarms, dispatching plans, dispatching management, and online analysis result data, and there is no professional system for large amounts of historical information. Carry out effective classification management and association analysis, effectively use these valuable data resources, and tap their value

In terms of power grid simulation calculation and online analysis, the joint analysis of interdisciplinary calculation results is currently mainly carried out manually. Although analysts can obtain some important information by virtue of knowledge and experience, they will inevitably lose information due to data simplification.

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