Aviv Yuniar Rahman, Zuhaina Zakaria
Electrical power distribution network schemes are often seen in electrical network learning manuals. Understanding these schemes is crucial for learning. However, schematic drawings of these networks can be unclear or difficult to interpret, leading to misunderstandings among learners. To address this issue, a detection system for power distribution network schemes using four algorithms, i.e., Canny, Sobel, Robert, and Prewitt, is proposed. From testing the 5 resulting schematic image data, it is found that Robert's Algorithm had the highest true positive rate (TPR) value of 0.823, indicating its effectiveness in edge detection. Meanwhile, the Canny algorithm had the lowest false positive rate and highest accuracy of 0.941, making it a suitable choice for both edge and non-edge detection. Therefore, the Canny algorithm can be recommended for learners to understand the electric power distribution network scheme better. © 2023 IEEE.
School of Graduate Studies, Doctor of Philosophy in Information & Communication Technology, Asia e University, Selangor, Malaysia; Universitas Widyagama Malang, Department of Informatics Engineering, Malang, Indonesia; School of Electrical Engineering, College of Engineering, Universiti Teknologi Mara, Power System Planning and Operation Research Group (PoSPO), Shah Alam, Malaysia
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