Intelligent decision support system for urban power grid accidents

A technology for intelligent decision-making and support systems, applied in information technology support systems, electrical components, circuit devices, etc., to solve problems such as inability to provide information integration, fault judgment and recovery plans, and complex power grid scheduling and operation methods.

Active Publication Date: 2007-09-26
SHANGHAI MUNICIPAL ELECTRIC POWER CO
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the development of the power grid and the increase of management equipment, the dispatching operation mode of the power grid is becoming more and more complicated. The existing system cann

Method used

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  • Intelligent decision support system for urban power grid accidents
  • Intelligent decision support system for urban power grid accidents
  • Intelligent decision support system for urban power grid accidents

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Embodiment Construction

[0016] As shown in Figure 1, an intelligent decision-making support system for urban power grid accidents in the present invention includes a SCADA module that performs data collection and processing functions and can provide a large amount of telemetry and telesignal information under normal and accident states of the power grid, including the SCADA module provided by the SCADA module. Remote signaling telemetry data and real-time mode of operation. The information preprocessing module preprocesses the SCADA data, and the data is sent to the fault analysis module after preprocessing. The system will combine the power grid operation mode, use the expert knowledge base and the PAS service process to carry out fault analysis and fault processing, and the fault processing results will be stored in A historical database, meanwhile, the historical database also stores the knowledge base of typical contingency plans, and the historical database is also connected with the protection c...

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Abstract

The invention discloses an intellective decision-making sustaining system of city electric network accident; the system includes shared SCADA system data, and collected remote signaling remote metering data module and electric network real time running module, the SCADA data is preprocessed, and then transmitted to fault analyzing module, the fault analyzing module and fault processing module analyses and process combining the electric running mode and expert knowledge base and PAS service course, and the fault processing result is stored in the history data base module, the history data base module also includes representative prediction knowledge base module, the history data base module is connected with the protecting distributing module which shares part of data in attemper managing information system module. The invention provides forceful omnidirectional decision-making support.

Description

technical field [0001] The invention relates to an urban power grid system, in particular to an urban power grid accident intelligent decision support system. Background technique [0002] With the expansion of power system scale, power grid dispatching is becoming more and more important. At present, the regional power grid dispatching automation has a relatively high level. The SCADA (Supervisory Control And Data Acquisition) system can provide a large amount of telemetry and telesignal information under normal and accident states of the power grid, including equipment measurement information, switch tripping Gate information, protection and automatic device action information, etc., realize real-time monitoring of the power grid, which plays a very important role in the safe and stable operation of the power grid. However, the influx of a large amount of fault information also increases the difficulty of information identification and fault handling for operators when a ...

Claims

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Application Information

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IPC IPC(8): H02J13/00
CPCY04S10/40
Inventor 陈东顾黎强陈钧德林红徐芳敏袁一鸣徐涛金玲丽王伟张麟
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
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