Power grid fault diagnosis method based on multi-variate power grid database

Abstract

The invention discloses a power grid fault diagnosis method based on a multi-variate power grid database. The power grid fault diagnosis method based on the multi-variate power grid database comprisesthe following steps that fault data of a multi-element power grid are acquired, and a fault sample training characteristic matrix is established according to the fault data; a sparse coefficient x isobtained through test data Y to be diagnosed obtained by the minimum norm constraint; and according to the sparse coefficient x, test sample data are obtained, the minimum residual between the obtained test sample data and each fault sample characteristic data in the fault sample training characteristic matrix is obtained by calculation, comparing is carried out to obtain a minimum value of the minimum residual, a fault category is determined, and the power grid fault diagnosis is completed. According to the power grid fault diagnosis method, the accuracy of fault diagnosis can be improved, and the fault false alarm rate is reduced.

Description

technical field [0001] The invention belongs to the technical field of multiple grid fault diagnosis, and in particular relates to a grid fault diagnosis method based on a multiple grid database. Background technique [0002] Energy conservation and emission reduction is a common challenge and an important issue facing the world. The Chinese government attaches great importance to energy conservation and emission reduction in the power industry, and proposes to implement energy-saving power generation dispatching in the power field to improve energy efficiency in the power industry, reduce environmental pollution, and promote energy conservation. and power structure adjustment, wind power and photovoltaics are the most mature intermittent energy utilization methods. Northwest is a key development area for new energy power generation. With the rapid development of wind power, photovoltaic and other new energy power generation in Northwest Power Grid, the power structure has u...

AI Technical Summary

Problems solved by technology

The grid scale is getting bigger and bigger, and various energy structures are becoming more and more complex. The traditional fault diagnosis function based on a single data source can no longer meet the needs of grid fault diagnosis. A new grid fault diagnosis method is urgently needed.

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