Distribution network fault diagnosis method and system based on hierarchical timing sequence adaptive fuzzy H network

Abstract

The invention relates to a distribution network fault diagnosis method based on a hierarchical timing sequence adaptive fuzzy H network. The distribution network fault diagnosis method is characterized by comprising the steps of: initializing system data updating (801), acquiring fault data (802), checking timing constraints ( 803), invoking a fuzzy H-network model (804), inferring an AFHN algorithm (805), drawing a failure analysis conclusion (806), and indicating fault handling (807). The invention further relates to a distribution network fault diagnosis device based on the hierarchical timing sequence adaptive fuzzy H network, and the distribution network fault diagnosis device is used for realizing the distribution network fault diagnosis method provided by the invention. According tothe distribution network fault diagnosis method and the distribution network fault diagnosis system, rapid and automatic diagnosis of the distribution network fault can be carried out, and good faultdiagnosis result is achieved. A distribution network fault diagnosis model based on the hierarchical timing sequence adaptive fuzzy H network is constructed, has the advantages of simple model, novelstructure, high adaptability, rapid and precise diagnosis and good fault tolerance, and is suitable for automatic and rapid diagnosis of the distribution network fault.

Description

technical field [0001] The invention relates to a distribution network fault diagnosis method and system based on layered timing sequence self-adaptive fuzzy H-network, belonging to the technical field of power grid fault diagnosis. Background technique [0002] With the continuous development of modern society, the popularization of electric energy applications and the continuous expansion of power grid systems, people's lives are inseparable from electricity, so the safety, reliability and economy of power systems are becoming more and more important. However, with the construction of UHV power grids, the interconnection of regional power grids, and the development of AC-DC hybrid power grids, on the one hand, the electrical connection of the entire network is becoming closer, on the other hand, the operation of the power grid is becoming more and more complex, and society’s requirements for power quality are getting higher and higher. In addition to the influence of meteo...

AI Technical Summary

Problems solved by technology

The characteristic of the system is that it adopts the distribution network fault diagnosis method based on hierarchical time sequence adaptive fuzzy H network (AFHN, Adaptive Fuzzy H Network), aiming at the combination explosion of Petri network model, too large matrix dimension and poor adaptability, etc. problem, the hierarchical molecular network of the discrete distribution network system reduces the scale of the model and reduces the dimension of the matrix, the model is more simplified and clear, the diagnosis is more accurate and detailed, and the reliability is higher; The adaptive algorithm performs adaptive learning on the system model to make the system data more accurate and reliable

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