| Pub. Date | : Jan, 2024 |
|---|---|
| Product Name | : The IUP Journal of Electrical and Electronics Engineering |
| Product Type | : Article |
| Product Code | : IJEEE010124 |
| Author Name | : Rony Tota, Pulak Mandal, Mostafa Shahriar and Aadreeto Saha |
| Availability | : YES |
| Subject/Domain | : Engineering |
| Download Format | : PDF Format |
| No. of Pages | : 16 |
The paper presents a prototype setup for detecting and tracking transmission line faults using Internet of Things (IoT) technology. This system automatically detects, analyzes and classifies the transmission line faults, while also tracking the location of fault. The setup uses a combination of ESP32, display, potential transformers, current transformers and GSM module to sense, process and transmit data. The instrument transformers accurately sense data and send to ESP32. Comparing with reference value, it analyzes fault and sends information via GSM module to a designated number and server. This prototype ensures fast processing of data and detects faults accurately in different scenarios.
Electric power infrastructure is extremely sensitive to several hostile physical events that could negatively impact the grid's performance and stability (Suresh et al., 2017). In power system, 85-87% faults occur in transmission lines (Gunjal et al., 2021). Extreme weather conditions like wind, rain and heat can expose threat to overhead power lines. Wind-induced vibration, deviation and heavy rainfall are common pitfalls for high voltage transmission lines. Conductor galloping caused by any event can cause different types of faults like symmetrical fault, unsymmetrical fault, etc.
Internet of Things (IoT), ESP32, GSM module, Symmetrical and unsymmetrical faults, Location tracking