Current trajectory image-based protection algorithm for transmission lines connected to MMC-HVDC stations using CA-CNN
نویسندگان
چکیده
Abstract In the presence of an MMC-HVDC system, current differential protection (CDP) has risk failure in operation under internal fault. addition, CDP may also incur security issues transformer (CT) saturation and outliers. this paper, a trajectory image-based algorithm is proposed for AC lines connected to stations using convolution neural network improved by channel attention mechanism (CA-CNN). Taking dual currents as two-dimensional coordinates moving point, moving-point trajectories formed have significant differences external faults. Therefore, faults can be identified image recognition based on CA-CNN. This mechanism, data augmentation, adaptive learning rate. comparison with other machine algorithms, feature extraction ability accuracy CA-CNN are greatly improved. Various fault conditions like different structures, modes, resistances, outliers, saturation, fully considered verify superiority algorithm. The results confirm that strong generalizability, identify reliably.
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ژورنال
عنوان ژورنال: Protection and Control of Modern Power Systems
سال: 2023
ISSN: ['2367-0983', '2367-2617']
DOI: https://doi.org/10.1186/s41601-023-00280-3