Intelligent power supply interruption range analyzing method and intelligent power supply interruption range analyzing system

Abstract

The invention discloses an intelligent power supply interruption range analyzing method and an intelligent power supply interruption range analyzing system. The intelligent power supply interruption range analyzing method comprises the steps that S1, a data resource platform interacted with a distribution type system and an information integration platform of data in a storage distribution type system are established; S2, a production system is used to transmit line information to a GIS platform, and the GIS platform is used to generate and display a one-line diagram according to the line information; S3, a power supply interruption switch is selected in the one-line diagram, and a spatial topological analyzing instruction is transmitted to the GIS platform by the information integration platform, and the GIS platform is used to transmit a range query instruction to the information integration platform; S4, the information integration platform is used to select affected range information based on the range query instruction and power grid topological structure data and user data stored in the information integration platform, and is used to return the affected range information to the GIS platform; S5, the GIS platform is used to forward the range information to a production system by the information integration platform. The power supply interruption switch is selected in the one-line diagram, and a power supply interruption plan is made conveniently and rapidly, and the data of the distribution-type system is stored in the newly established data resource platform in a unified manner, and the data consistency is guaranteed.

Description

technical field [0001] The invention relates to the field of power distribution in the electric power industry, in particular to an intelligent power outage range analysis method and system. Background technique [0002] In the early days, when compiling a power outage application, we could only select the power outage equipment information from the equipment ledger structure tree, analyze the affected transformer information based on the equipment topology relationship, and then analyze the affected customer information based on the relationship between the customer and the customer. This method cannot intuitively display the topological connection relationship of the power outage line, and the decentralized management of data is prone to information inconsistency. If you do not understand the connection relationship of the power outage line, you may choose the wrong power outage device because the equipment has different names in different systems. The area affected by the...

AI Technical Summary

Problems solved by technology

This method cannot intuitively display the topological connection relationship of power outage lines, and the decentralized management of data is prone to information inconsistency. If you do not understand the connection relationship of power outage lines, you may choose the wrong power outage device because the equipment has different names in different systems. Cannot intuitively display the area affected by the power outage

[0003] With the development and improvement of GIS technology, GIS technology is also gradually being used and promoted in the field of power production, but it can only combine the GIS one-line diagram to select the range information of power outage equipment, but it cannot intelligently display the area affected by the power outage and whether the selected switch is There are misoperations. The biggest problem is that the consistency and real-time performance of data sources cannot be guaranteed. Since the analysis needs to be combined with the station-line-transformation-household topological relationship, and the station-line-transformation relationship is maintained on the GIS platform, the variable - Household relationship needs to be obtained from transformer-box and container-household relationships, among which transformer-box is maintained on the GIS platform, and box-household is maintained on the marketing system

The decentralized management of data leads to the reduction of data accuracy and integrity, prone to information inconsistency, hinders the reuse of information, and cannot ensure data consistency

Images