Partial discharge pattern identification method for crosslinked polyethylene cable

Abstract

The invention discloses a partial discharge pattern identification method for a crosslinked polyethylene cable, and belongs to the technical field of online monitoring and fault diagnosis of electrical equipment. The partial discharge pattern identification method comprises the following steps: adopting online or offline monitoring data of a cable, performing partial discharge signal feature extraction based on the natural mode singular value decomposition technology, and selecting the sample data to realizing learning of a cable partial discharge detection limit learning machine model, so as to realize partial discharge detection of the XLPE (Crosslinked Polyethylene) power cable. The partial discharge pattern identification method disclosed by the invention aims to running state of seven cables, based on the natural mode singular value decomposition technology, performs feature extraction on the corresponding raw signals corresponding to different running states of the cables, and determines the target vector form of the sample data, so as to complete partial discharge sample data set construction of the XLPE power cable, and learn and test the constructed partial discharge detection ELM model of the cable. The partial discharge pattern identification method disclosed by the invention can accurately and quickly identify the insulation defect and partial discharge mode of the power cable, so as to ensure safe and healthy operation of cable equipment, and provide the basis for the power cable repair scheme.

Description

technical field [0001] The invention belongs to the technical field of online monitoring and fault diagnosis of electric equipment. Background technique [0002] Crosslinked Polyethylene (XLPE) power cables are important equipment in the power system. Ensuring their reliable operation, reducing the number and time of power outage maintenance, and realizing condition-based maintenance are important contents to ensure the safe and reliable operation of the power grid. At present, although there are differential method, directional coupling method, electromagnetic coupling method, high-frequency capacitance method, ultrasonic detection method and other power cable partial discharge detection methods, the application effect of the existing methods still needs to be improved, and there is an urgent need for new methods to be innovatively applied. Solve the problem of partial discharge detection of XLPE power cables. Therefore, partial discharge pattern recognition based on onlin...

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Problems solved by technology

At present, although there are differential method, directional coupling method, electromagnetic coupling method, high-frequency capacitance method, ultrasonic detection method and other power cable partial discharge detection methods, the application effect of the existing methods still needs to be improved, and there is an urgent need for new methods to be innovatively applied. Solving the Partial Discharge Detection Problem of XLPE Power Cables

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