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
박세준 (현대일렉트릭) 윤민한 (동명대학교)
저널정보
대한전기학회 전기학회논문지 전기학회논문지 제66권 제12호
발행연도
2017.12
수록면
1,682 - 1,688 (7page)

이용수

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

이 논문의 연구 히스토리 (3)

초록· 키워드

오류제보하기
In modern society, the number of industrial customers using equipment sensitive particularly to voltage sags is rapidly increasing. As voltage sags can cause loss of information as well as false operation of the control device, it results in the vast economic damage in industrial processes. One way to mitigate voltage sags in the sensitive loads is the installation of distributed generation (DGs) on the periphery of these loads. In addition, renewable energy sources are currently in the spot light as the potential solution for the energy crisis and environmental issues. In particular, wind power generation which is connected to a grid is rising rapidly because it is energy efficient and also economically feasible compared to other renewable energy sources. On the basis of the above information, in this paper, with Wind Turbine Generators (WTGs) installed nearby the sensitive load, the analysis of the mitigating effect comparison by types of WTGs is performed using voltage sag assessment on the IEEE-30 bus test system. That is, the areas of vulnerability according to types of WTGs are expected to be different by how much reactive power is produced or consumed as WTG reactive power capability is related to the types of WTGs. Using the concept of ‘Vulnerable area’ with the failure rate for buses and lines, the annual number of voltage sags at the sensitive load with the installation of WTGs per type is studied. This research will be anticipated to be useful data when determining the interconnection of wind power generation in the power system with the consideration of voltage sags.

목차

Abstract
1. 서론
2. 타입별 풍력 발전기 모델링
3. 순간전압강하 평가
5. 결론
References

참고문헌 (13)

참고문헌 신청

함께 읽어보면 좋을 논문

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

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0