Centralized monitoring transformer substation risk identification early warning system and working method thereof

Abstract

The invention discloses a centralized monitoring transformer substation risk identification early warning system and a working method thereof, and relates to the field of electric power operation andmaintenance. A traditional monitoring means is difficult to realize effective management and control on three monitoring risks of equipment defects, frequent light words and suppression signals. The centralized monitoring transformer substation risk identification early warning system synchronously collects data of a master station and a station server, performs statistical analysis, calculation,verification and special analysis on the data including equipment defects, frequent light words and suppression signals, and generates an intelligent risk identification result and a corresponding risk list based on a centralized monitoring risk library; corresponding on-site operation and maintenance units and automatic operation and maintenance personnel are informed and disposed according to safety risk levels, and timely management and control of the equipment defects, constant light words and suppression signals are realized. According to the technical scheme, the risk online management and control rate is improved, the risk management and control time limit is shortened, and the power grid monitoring risk management and control level is improved.

Description

technical field [0001] The invention relates to the field of electric power operation and maintenance, in particular to a centralized monitoring substation risk identification and early warning system. Background technique [0002] The daily work of centralized monitoring is mainly responsible for handling accidents, abnormalities, limit violations, displacements and other information sent by the monitoring system, monitoring the operating conditions of substations, and ensuring the safe and stable operation of the power grid. The main factors that are likely to cause centralized monitoring risks are equipment defects, constant light characters and suppression signals. Traditional monitoring methods are difficult to effectively control these three types of monitoring risks. [0003] 1.1 Monitoring risks caused by equipment defects [0004] Due to the deviation of the power grid equipment during operation and the error exceeding the allowable range of the operation standard...

AI Technical Summary

Problems solved by technology

[0013] 3.1 The alarm information suppression list can only effectively control the suppression signals, and there is an early warning blind spot for defect signals and constant light characters, and the suppression list check is a shift time, that is, 8 hours, and the control time limit is relatively long

[0014] 3.2 Although the analysis of centralized monitoring information can effectively identify the three types of risk sources, the control time limit is generally a weekly analysis report, that is, 7 days. The risk control time limit is too long, and there is a large security risk

[0015] 3.3 Risk online management and control rate is not high

[0016] In order to solve the above problems, a power grid signal monitoring risk early warning system is designed by using hardware architecture and software programming in "Grid Signal Monitoring Risk Early Warning System Based on Regulatory Integration", but its monitoring parameters are relatively single, and it does not have certain reliability and Promote

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