Akademik Veri Yönetim Sistemi
INTERNATIONAL MULTIDISCIPLINARY SCIENTIFIC RESEARCH CONGRESS , Sivas, Türkiye, 4 - 06 Temmuz 2025, cilt.1, ss.524, (Özet Bildiri)
In recent years, the increasing demand for electrical energy—driven by rapid technological progress— has necessitated more efficient and reliable power delivery systems. Overhead transmission lines are commonly used to transport electricity from generation sources to end users. However, these lines are highly vulnerable to environmental disturbances such as lightning, storms, vegetation overgrowth, and animal interference, which frequently result in short-circuit faults. Ensuring uninterrupted energy supply to consumers is critically important, making the swift identification and resolution of such faults an operational priority. This study’s main purpose is to detect short-circuit currents on low-voltage distribution lines using 2axis inductive coil magnetic field sensor. The network consists of five lines: three-phase conductors (L1, L2, L3), a neutral line (G), and an additional lighting line, which distinguishes this work from previous studies. Depending on network configuration, the lighting line is powered by one of the three phases. A total of 35 fault scenarios were simulated, encompassing various short-circuit types: phaseto-ground (e.g., L1-G), two-phase-to-ground (e.g., L1-L2-G), three-phase-to-ground (L1-L2-L3-G), phase-to-phase (e.g., L1-L2), three-phase faults (L1-L2-L3), and combinations involving the lighting line (e.g., L1-G-L2, L1-L2-G-L3, L1-L2-L3-G-L1, etc.). The system simulation relies on the BiotSavart law to model the magnetic field components generated by current flowing through the conductors. Since each fault type alters the current and magnetic field in a unique way, analyzing these variations allows for precise localization of the affected line. Compared to conventional fault detection methods, the proposed sensor-based approach enhances operator safety by functioning without physical contact with live conductors. It also eliminates the need for power outages during diagnosis and significantly speeds up the repair process. Moreover, the system offers notable advantages, including low cost, real-time monitoring capability, and scalability across large networks. The results confirm the feasibility and effectiveness of magnetic field-based fault detection for low-voltage power distribution systems.