Malfunction study and determination optimization method based on power distribution main station

Abstract

The invention discloses a malfunction study and determination optimization method based on a power distribution main station. The method includes the steps of (1) when a sharp drop occurs, distinguishing that the sharp drop is caused by an accident or manual operation; (2) recognizing the state of automation equipment to conduct trip point analysis; (3) additionally conducting filtering disposal on emergency power cut information; (4) verifying malfunctions of an adopted system; (5) making protective signals of non-trip-out equipment on a feeder line subjected to the trip point analysis for processing; (6) recognizing a distribution transformer of an internet port of a power plant and distribution transformers of multiple power sources, and ignoring the distribution transformers above during the trip point analysis; (7) recognizing the power cut causes of the distribution transformers and the electrification state of the distribution transformers; (8) conducting analysis and generatinga prewarning distribution transformer list. By adopting the malfunction study and determination optimization method, the accuracy of study and determination is improved, error reports and report omissions can be reduced, and the working efficiency of dispatching and repairing distribution networks is greatly improved.

Description

technical field [0001] The invention relates to the technical field of power system distribution automation, in particular to a method for fault research, judgment and optimization based on a master power distribution station. Background technique [0002] After the application of the fault research and judgment system in recent years, each site has accumulated a large amount of experience in fault case analysis; however, there are still problems such as data quality and multi-system interaction that affect the basic data of fault research and judgment, resulting in deviations between the judgment conclusion and the actual fault situation . Based on the analysis of actual fault cases on site and the application requirements of scheduling, it is necessary to optimize the construction of the fault research and judgment system. Contents of the invention [0003] The present invention provides a fault research and judgment optimization method based on the distribution master ...

AI Technical Summary

Problems solved by technology

[0002] After the application of the fault research and judgment system in recent years, each site has accumulated a large amount of experience in fault case analysis; however, there are still problems such as data quality and multi-system interaction that affect the basic data of fault research and judgment, resulting in deviations between the judgment conclusion and the actual fault situation

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