Development of Edge Gateway System for Data Acquisition on Transmission Line of AC/DC Hybrid Distribution Network

In this paper, we propose an edge computing-based gateway system (EGW) for the efficient collection of sensor data from transmission lines in AC/DC hybrid distribution networks. The proposed system allows for parallel collection of sensor data, enabling the detection of instantaneous electrical events, such as voltage sags, without omission. It also provides a hardware-based event detection function for rapid identification of sudden abnormal events. Additionally, the EGW offers IEEE 1588v2(PTP)-based time synchronization to accurately estimate the location of events on transmission lines. The edge gateway was implemented on an FPGA-based test board, and performance tests were conducted in a simulated laboratory environment. In a Peer-to-Peer setting, the time synchronization error was approximately ±30ns. The sensor data collection performance for parallel channels showed that the collection time for one channel was identical to that for four channels. Moreover, the hardware-based event detection module was able to detect events within an average of 560μs after data injection, with a deviation of about 100μs. The edge gateway will be applied to the MVDC testbed at the KEPCO for collecting sensor data from DC transmission test line. Then, the system will be further developed into a fully operational product for the AC/DC hybrid distribution network testbed.