Fig 1.
Trends in installed offshore wind power capacity.
Fig 2.
The structural layout sketch of this paper.
Fig 3.
Offshore wind power plant via flexible straight grid connection structure diagram.
Table 1.
Mathematical model of power quality disturbance signal.
Fig 4.
Common single power quality disturbance waveforms.
Fig 5.
Time-frequency feature extraction flowchart.
Fig 6.
Schematic diagram of CNN convolutional and pooling layer.
Fig 7.
Crested porcupine defense area.
Fig 8.
Test function evolution curve.
Fig 9.
CPO-CNN model flowchart.
Table 2.
Disturbance categories and label definitions.
Table 3.
Hyperparameter optimization results.
Fig 10.
CPO-CNN model classification prediction results.
Fig 11.
CNN model classification prediction results.
Fig 12.
Fitness curves for each algorithm.
Fig 13.
Comparison of classification results.
Table 4.
Classification accuracy for each model test set.
Table 5.
CPU runtime and accuracy for each model.