Intelligent fault diagnosis method suitable for microgrid

Abstract

The invention discloses an intelligent fault diagnosis method suitable for a microgrid. The method comprises the following steps: monitoring the operation state of the microgrid through acquiring voltage current signals on a bus of the microgrid, determining whether an internal fault occurs in the microgrid, and accordingly, determining the starting mode of the diagnosis of the microgrid fault; according to the set condition of a fault diagnosis mode, acquiring the voltage current signals on the bus of the microgrid and carrying out preprocessing; by use of a multi-wavelet package decomposition technology, extracting fault signal transient components of different frequencies; calculating wavelet singular entropy as a characteristic vector of an RBF nerve network fault diagnosis mode of the microgrid; and inputting the characteristic vector into the diagnosis mode, outputting fault state information of the microgrid. According to the invention, a microgrid external fault diagnosis function and an internal short circuit fault diagnosis function are simultaneously provided, and a basis is provided for operation control and correlation protection of the microgrid.

Description

technical field [0001] The invention relates to a micro-grid island detection and fault diagnosis method, which belongs to the technical fields of power system relay protection and new energy power generation. Background technique [0002] The traditional centralized power generation and large power grid interconnection centralized power supply methods have problems of poor power supply reliability and power supply security. Large-scale power outages in many countries have fully proved this serious problem. Efficient and reliable distributed power generation technology is more and more favored by countries all over the world. Microgrid is a new power supply method formed on the basis of distributed power generation. Microgrid is a hybrid energy supply system integrating solar photovoltaic power generation, wind power generation, fuel cells, micro gas turbines and other distributed power generation and energy storage units, loads, monitoring and protection devices. Under nor...

AI Technical Summary

Problems solved by technology

None of the above methods can identify the fault type of the microgrid, and the engineering application is difficult and the degree of intelligence is low

At present, there are no relevant papers and patents on the identification method of the internal fault type of the microgrid, and there are few studies on the external fault diagnosis of the microgrid.

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