Method for diagnosing power system fault considering multi-source data

A power system and fault diagnosis technology, applied in the direction of fault location, etc., can solve problems such as loss, untimely upload, protection and circuit breaker misoperation or refusal to operate, and achieve the effect of improving fault tolerance

Inactive Publication Date: 2014-07-02
STATE GRID CORP OF CHINA +3
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Problems solved by technology

Among them, the theory of fault diagnosis method based on Petri net is relatively mature, but in the actual power system, when a fault occurs, the protection and circuit breaker may malfunction or refuse to operate, and the uploading process of the alarm may also be untimely, distorted or lost. situation, which puts forward new requirements for fault diagnosis methods based on Petri nets

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  • Method for diagnosing power system fault considering multi-source data
  • Method for diagnosing power system fault considering multi-source data
  • Method for diagnosing power system fault considering multi-source data

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Embodiment Construction

[0020] The power system fault diagnosis method based on multi-source data of the present invention such as flow chart figure 1 shown.

[0021] The following describes the steps of power system fault diagnosis based on multi-source data:

[0022] Step 1. Determine the fault area: According to the circuit breaker displacement information provided by the SCADA system, use the breadth-first method to search and determine the fault area. If the fault area contains only one component, the component is the fault component; if the fault area includes two or above components, go to step 2;

[0023] Step 2, establishing a component fault diagnosis model: constructing a power system fault diagnosis model for components based on the fault electrical quantity criterion, the logical relationship between the fault component and the corresponding protection, and the circuit breaker action, that is, the weighted fuzzy sequential Petri network;

[0024] Step 3, reasoning based on matrix calcu...

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Abstract

The invention discloses a method for diagnosing a power system fault considering multi-source data. Firstly, a fault area is determined quickly according to the state of a faulted breaker and static power grid topological data so that the optimization variables can be reduced and the diagnosing speed can be improved; secondly, an existing Petri net model is further developed, an electrical quantity basis is introduced into the model, the electrical quantity information is fully taken into consideration in the expression of the protection and breaker expectation state, and the method for diagnosing the power system fault considering the multi-source data is thus developed. The method has high fault-tolerant capability, and the maloperation / moving-refusing situation and the alarm losing or mistake situations of the protection / breaker can be processed.

Description

technical field [0001] The invention belongs to the technical field of power system safety processing, and relates to a method for diagnosing power system faults considering multi-source data. Background technique [0002] Power system fault diagnosis is to use the alarm information generated after the fault to timely and effectively determine the fault component, and provide auxiliary decision-making for the dispatcher to quickly identify the fault, which helps to remove the fault as soon as possible and restore the normal operation of the power system. Scholars at home and abroad have carried out a lot of research in this field and proposed many fault diagnosis methods. Among them, the theory of fault diagnosis method based on Petri net is relatively mature, but in the actual power system, when a fault occurs, the protection and circuit breaker may malfunction or refuse to operate, and the uploading process of the alarm may also be untimely, distorted or lost. This puts f...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/08
Inventor 刘玙曾飞张小易袁宇波吴文可文福栓杨毅侯仁政
Owner STATE GRID CORP OF CHINA
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