New distribution network fault detection method and fault self-healing system based on fast switch

Abstract

The embodiment of the present invention provides a novel fault detection method for a distribution network based on a fast switch. The method includes fault current signal acquisition, data extraction, neural network training, fault classification and fast switching action control; multi-layer sensors are used to collect current information, particle swarm optimization algorithm is used to diagnose layered information; The traveling wave ranging method estimates the location of the fault, and combines the Attention mechanism to judge the location of the fault; the eddy current repulsion is used as the fast switch of the driving mechanism, which can realize the breaking within 3ms after receiving the fault action signal. The method improves the level of fault detection, improves the utilization rate of power supply equipment, and reduces power loss, thereby improving the overall operation level of the distribution network; improving the fault self-healing capability of the distribution network and effectively improving the reliability of power supply. Embodiments of the present invention also provide a novel fault self-healing system for distribution network based on the above method.

Description

technical field [0001] The invention belongs to the technical field of distribution network fault detection and isolation, and in particular relates to a novel distribution network fault detection method based on a fast switch. The invention also provides a fault self-healing system applying the distribution network fault detection method. Background technique [0002] With the development of modern intelligent power distribution technology, the scale of distribution network construction is getting larger and larger. It has evolved from traditional passive distribution network to active distribution network including distributed power. There are many points, long lines, wide areas, and harsh operating conditions, so single-phase ground faults and short-circuit faults are prone to occur. The penetration of distributed power sources leads to two-way flow of power flow in the distribution network, and creates new problems for the distribution network, such as fault misjudgment...

AI Technical Summary

Problems solved by technology

[0008] Aiming at the problems of the existing distribution network fault detection technology, such as long detection time, unclear fault type, high misjudgment rate, and poor fault tolerance, the present invention provides a distribution network fault detection method and fault self-healing system based on neural network and fast switch , improve the fault detection level and fault self-healing ability of the distribution network, and improve the overall operation level and power supply reliability of the distribution network

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