메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
윤기하 (Electronics and Telecommunications Research Institute) 김근용 (Electronics and Telecommunications Research Institute) 유학 (Electronics and Telecommunications Research Institute) 김성창 (Electronics and Telecommunications Research Institute) 김재인 (Electronics and Telecommunications Research Institute)
저널정보
대한전기학회 전기학회논문지 전기학회논문지 제73권 제8호
발행연도
2024.8
수록면
1,360 - 1,368 (9page)
DOI
10.5370/KIEE.2024.73.8.1360

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
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.

목차

Abstract
1. 서론
2. 엣지 컴퓨팅 기반 게이트웨이 시스템 개요
3. 시스템 세부 설계
4. 성능 평가
5. 결론
References

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-151-24-02-090651491