A screening method for harmonic main feature groups based on similar feature fusion
A technology of similar characteristics and screening methods, applied in the field of harmonic pollution in power systems, can solve problems such as large influence of calculation errors and large errors, and achieve comprehensive and more reasonable conclusions
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[0031] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0032] Such as figure 1 As shown, this embodiment provides a method for screening harmonic main feature groups based on similar feature fusion, which specifically includes the following steps:
[0033] Step S1: Subtract the reference limit value C of each harmonic current from the harmonic current monitoring samples 0 , decentralize the harmonic current monitoring samples, and get the decentralized value C * ;
[0034] Step S2: Calculate the similarity index of the harmonic current monitoring samples: record S 24*24 for C * The similarity index matrix between each harmonic in , S(i,j) represents the similarity between the i-th harmonic current and the j-th harmonic current monitoring sample, where, 1≤i,j≤25 , calculate S(i,j) according to the following formula, and the result is between 1 and -1:
[0035]
[0036] Step S3: Screen the main featu...
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