ANFIS-based synchronous phase modifier short-circuit fault identification method and system

Abstract

The invention discloses an ANFIS-based synchronous phase modifier short-circuit fault identification method and system, and the method comprises the steps: simulating different working conditions of asynchronous phase modifier, collecting excitation current data of the synchronous phase modifier under different working conditions in a simulation process, and constructing a training sample set; constructing and training an adaptive neural fuzzy inference system ANFIS for short-circuit fault identification of the synchronous phase modifier; testing different working conditions of the synchronous phase modifier, collecting excitation current data of the synchronous phase modifier under different working conditions in the test process, and constructing a test sample set; and carrying out diagnosis on the short-circuit fault of the synchronous phase modifier in the experiment process. According to the method, the advantages of the neural network and the fuzzy logic are integrated, the problem of a local minimum value is avoided, the sample requirement is low, a large amount of training data is not needed, the diagnosis result has high reliability, the fault can be accurately diagnosed,and the specific fault type can be distinguished.

Description

technical field [0001] The invention belongs to the technical field of motor state detection and fault diagnosis, and relates to an ANFIS-based short-circuit fault identification method and system for a synchronous condenser. Background technique [0002] Synchronous condenser, also known as synchronous compensation machine, is a reactive power compensation device that operates in the state of a motor without mechanical load itself, and only absorbs a small amount of active power from the grid to feed the machine itself. It can provide or absorb reactive power to the grid, improve power factor, reduce network loss, and have a good effect on adjusting grid voltage and improving grid stability. [0003] Short circuit fault is one of the more common and serious faults of synchronous condensers. Depending on the type and duration of the short circuit, the consequences of the short circuit may damage the local area or threaten the safe operation of the entire system. [0004] A...

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Problems solved by technology

[0007] In order to solve the deficiencies in the prior art, this application provides a method and system for short-circuit fault identification of synchronous condensers based on ANFIS, which solves the problem that the network structure is not well determined and the learning function is uncertain in the current neural network for condenser fault diagnosis. property, slow convergence and even local minimum problems

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