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Layered time fuzzy Petri network based power transmission grid fault diagnosis method

A power transmission network, fuzzy technology, applied in the field of power grid fault diagnosis research, can solve the problem of Petri net model alarm information fault tolerance needs to be strengthened, to reduce model complexity and calculation time, improve adaptability, and enhance the effect of fault tolerance.

Inactive Publication Date: 2015-12-23
HUAZHONG UNIV OF SCI & TECH +1
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Problems solved by technology

Although the above research has achieved many achievements, it still needs to be improved in the following aspects: (1) The time-constrained characteristics of fault event records are not fully utilized for preliminary screening of massive alarm information to avoid misjudgment caused by inconsistent information in time series Problems; (2) The adaptability of the Petri net model cannot be effectively solved when the network topology changes, and the fault tolerance of the Petri net model to deal with uncertain and missing alarm information still needs to be strengthened

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  • Layered time fuzzy Petri network based power transmission grid fault diagnosis method
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  • Layered time fuzzy Petri network based power transmission grid fault diagnosis method

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Embodiment Construction

[0035] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0036]The present invention proposes a transmission network fault diagnosis method based on hierarchical time fuzzy Petri nets, uses virtual directed arcs and primary and secondary places, constructs a hierarchical sub-model and a comprehensive diagnosis model of components, and according to the sub-model Hierarchical division structure, time constraint checking method and fuzzy matrix operation...

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Abstract

The present invention discloses a layered time fuzzy Petri network based power transmission grid fault diagnosis method and belongs to the technical field of electric power. A fault tolerance capability of a Petri network in the prior art for dealing with uncertain and missing alarm information needs to be strengthened. A layered time fuzzy Prtei network model provided by the present invention comprises a layered sub model and a comprehensive diagnosis model. A correct diagnosis result can always be provided in cases that a protector and a circuit breaker malfunctions or refuses to act, alarm information is missing and multiple faults occur and the like, so that the method has a relatively good application prospect.

Description

technical field [0001] The invention belongs to the field of grid fault diagnosis research, and more specifically relates to a transmission grid fault diagnosis method based on layered time fuzzy Petri net. Background technique [0002] With the development of modern technology and power system, the grid scale is getting bigger and bigger, and the structure is getting more and more complex. For short-circuit faults in local power grids, if effective countermeasures cannot be taken in time, the fault area may spread and cause large-scale power outages. Therefore, it is of great significance to make reasonable use of power grid fault information and carry out rapid and accurate fault diagnosis algorithm research for fault identification and improve the safe and stable operation of power grid. At present, domestic and foreign power scholars have carried out extensive research in the field of power system fault diagnosis, and proposed a variety of intelligent diagnosis methods,...

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Application Information

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IPC IPC(8): G06F17/50
Inventor 白展苗世洪孙雁斌陈亦平姚伟文劲宇侯云鹤李超
Owner HUAZHONG UNIV OF SCI & TECH
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