AC/DC power grid autonomous capability evaluation method based on NARX neural network

Abstract

The invention provides an AC / DC power grid autonomous capability evaluation method based on an NARX neural network, and the method comprises the steps: extracting sub-item evaluation indexes of training AC / DC power grid data from the perspective of source grid load storage; determining an original evaluation matrix and a reference sequence according to the subitem evaluation indexes; determining an objective weight of each subitem evaluation index by using an entropy method; determining a comprehensive grey correlation degree of the training power grid data according to the original evaluationmatrix, the reference sequence and the objective weight; training an evaluation model of the NARX neural network according to the sub-item evaluation indexes and the comprehensive grey correlation degree; and based on the trained evaluation model of the NARX neural network, evaluating the autonomous capability level of the AC / DC power grid. Compared with an index feature selected by a traditionalmethod, the method is more global and higher in evaluation precision.

Description

technical field [0001] The invention relates to the field of evaluating the operating capability of an AC / DC hybrid power grid, in particular to a method for evaluating the autonomous capability of an AC / DC power grid based on a NARX neural network. Background technique [0002] The AC / DC power distribution system is an important platform for carrying distributed power sources, AC / DC loads, and energy storage for various users. It is also a key link to promote the construction of smart grids and solve the energy crisis. The frequent blackouts at home and abroad show that it is difficult to eliminate large-scale AC and DC grid failures. When isolated grids appear, the grid needs to maintain its own stability and autonomous operation, otherwise it will cause huge economic losses and cause serious social consequences. Therefore, there is an urgent need for an evaluation method for the autonomy capability of AC and DC grids. Traditional grid autonomy evaluation methods generall...

AI Technical Summary

Problems solved by technology

Traditional grid autonomy assessment methods generally use local autonomous region supply and storage capacity indicators to quantitatively describe the local autonomous region's ability to consume, store and provide electric energy, and lack understanding of grid source-load-storage coordination and the interaction of the entire power grid.

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