| Title |
Proposed Arc Detection Method for Arc Signal Failure Analysis of Smart Grid Distributed |
| Authors |
방수철(Su-Chul Bang) ; 한소연(So-Yeon Han) ; 윤용호(Yong-Ho Yoon) |
| DOI |
https://doi.org/10.5370/KIEE.2023.72.5.694 |
| Keywords |
Smart Grid Distributed Power; Simulator; Failure Analysis; Arc; Signal Conversion |
| Abstract |
With the development of distributed power generation using solar and renewable energy, smart grid-type DC distribution is gradually spreading. However, DC distribution has the disadvantage of being difficult to dissipate naturally because it does not form a zero point when an arc occurs compared to the AC distribution system. A fire occurs due to an arc, causing failure, equipment malfunction, etc., resulting in loss of life and property. In addition, traditional overcurrent breakers and short circuit breakers cannot prevent the occurrence of series arcs in advance. Therefore, the main issue of smart grid type DC distribution is to analyze arc signals to detect arc accidents. This paper aims to diagnose arc signals in real time through existing hole-type sensors and Rogowski coil sensors, report accidents and fires caused by arc generation as well as smart grid-type DC distribution performance, and improve facility safety. The DC arc detection method using the proposed Rogowski coil current sensor and the algorithm for signal analysis were applied to the Smart Grid distributed power system, and the following conclusions were obtained. 1)Diagnosis is possible through real-time measurement of analog/digital signals of power analysis and failure signals, 2)Improvement of power analysis and fault diagnosis technology of power systems such as renewable energy and energy storage devices, 3)Improvement of equipment safety and protection against accidents and fires caused by arcs as well as the performance of renewable energy facilities applied to Smart Grid lines |