Power grid abnormal information intelligent alarming and assistant decision-making method

Abstract

The invention discloses a power grid abnormal information intelligent alarming and assistant decision-making method which comprises the following steps: establishing an expert decision database for solutions corresponding to various abnormal states of a power grid; establishing a state element set, wherein state elements are switching value information for reflecting running state of power transformation equipment in real time; carrying out associated coupling on each state element, carrying out logic And relation operation, and as long as one state element is abnormal, logic coupling judgment result being abnormal; judging the abnormal state elements to obtain abnormal attributes; comparing the abnormal attributes with the expert decision database to obtain an assistant decision of the abnormal state; and associating, displaying and tracking the state elements and the judgment results on a monitoring system. Assistant decision making is carries out on the abnormity of the power grid by utilizing a computer and an existing intelligent power grid monitoring system, so that the defects caused by manual processing of mass monitoring data and insufficient personnel processing experience are prevented, a decision can be made quickly for abnormity of the power grid, and accidents are prevented.

Description

technical field [0001] The invention specifically relates to an intelligent alarm and auxiliary decision-making method for abnormal information of a power grid. Background technique [0002] At present, all kinds of monitoring systems monitor the operation data of the power grid in real time when the power grid is running, and upload the monitoring data to the monitoring master station in real time. However, since the monitoring information connected to the main station is independent of each other, each monitoring information does not have the function of intelligent logical combination analysis. Once an accident occurs, the monitor needs to manually analyze the massive power grid operation and monitoring data, and constantly call different monitoring data. The screen and make judgments based on personal experience, which caused great difficulties for the monitors to judge the accident and dispose of the information. According to the "500kV Substation Typical Monitoring In...

AI Technical Summary

Problems solved by technology

However, since the monitoring information connected to the main station is independent of each other, each monitoring information does not have the function of intelligent logical combination analysis. Once an accident occurs, the monitor needs to manually analyze the massive power grid operation and monitoring data, and constantly call different monitoring data. screen and make judgments based on personal experience, which makes it extremely difficult for monitors to judge accidents and dispose of information

According to the "500kV Substation Typical Monitoring Information Table (Trial)" standard issued by the State Research Center in 2012, according to the typical design of 2 main transformers, 5 strings and 8 circuits of 500kV outgoing lines, and 10 220kV outgoing lines, a single 500kV substation has more than 4,000 "four remote "Monitoring information points are uploaded to the main monitoring station; taking 17 500kV substations in operation in a central province's power grid as an example, a monitoring duty (standard staff of 2) in this province needs to process more than 68,000 monitoring information points, especially when power grids occur. In the event of an accident, abnormal information 5 to 10 times that of normal data will be generated within milliseconds (ms), and the monitoring information flooding effect may occur

However, if an effective decision cannot be made and processed in a timely manner for abnormal information, it will lead to more failures and even accidents.

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