Electric energy quality disturbance recognition method based on improved PSO (Particle Swarm Optimization) and SVM (Support Vector Machine)
A technology of power quality disturbance and identification method, which is applied in the direction of measuring electrical variables, measuring electricity, measuring devices, etc., can solve the problems of low recognition accuracy and slow recognition speed, and achieves widening the search space, preventing premature maturity, and simple operation principles. Effect
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[0053] The present invention will be further described below in conjunction with specific power quality disturbance signals.
[0054] Such as figure 1 As shown, the power quality disturbance signal is obtained according to IEEE 1159-2009 related standards, and the power quality disturbance identification method based on improved PSO and SVM provided in this embodiment includes the following steps:
[0055] 1) Construct a weighted morphological filter, filter out the interference noise in the voltage and current signal, and extract the corresponding input feature quantity, including the following steps:
[0056] 1.1) The weighted morphological filter is composed of different combinations of mathematical morphological operators. The two basic morphological operators of mathematical morphology are dilation and erosion:
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[0058]
[0059] in means expansion, represents corrosion, f is the initial signal, g is the morphological structure element, and are the ...
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