메뉴 건너뛰기
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)
고객센터 ENG
주제분류

논문 기본 정보

저자정보
(Soongsil University) (Soongsil University) (Soongsil University) (Korea Electrical-industry Association) (Soongsil University)
저널정보
대한전기학회 전기학회논문지 전기학회논문지 제75권 제10호
오류 신고하기

피인용 0

검색

    초록·키워드

    This study evaluates location-dependent feasible connection capacity intervals for AI inference data centers in a distribution network with photovoltaics. A synthetic 24-hour facility load profile is constructed from public inference request traces, measured processor power characteristics, and power usage effectiveness data. OpenDSS simulations assess 53 candidate buses under three line current limits. In the identified intervals, existing overvoltage determines the lower bounds, while undervoltage or line current constraints determine the upper bounds. The maximum interval width increases from 1.141 MW at 350 A to 1.938 MW at 450 A. Sites selected by the upper-bound and interval-width criteria differ under all three conditions. The results support joint assessment of capacity bounds, interval width, and limiting constraints when planning data center location and size under a fixed load profile.

    최근 본 자료 전체보기