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
학술대회자료
저자정보
Xiaohuan Wang (Yanshan University) Chunjiang Zhang (Yanshan University) Wenchao Zhao (Yanshan University) Xiao Mu (Beijing Electrification Railway Communication and Signal Design/Survey Institute)
저널정보
전력전자학회 ICPE(ISPE)논문집 ICPE 2011-ECCE Asia
발행연도
2011.5
수록면
2,650 - 2,657 (8page)

이용수

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

초록· 키워드

오류제보하기
Conventional passive islanding detection methods have disadvantages of non-detection zone (NDZ). Active ones can reduce or eliminate NDZ, but their operation mechanism is forcing the voltage or frequency into the fault range, which is a devastating islanding detection approach. However, the non-devastating islanding method without NDZ is desirable for micro-grid applications. A novel active islanding detection method based on mathematical statistics for three-phase inverter is proposed. In this paper, 0-1 sequence is used to modulate the PWM modulation wave by amplitude adjustment. Then the voltage of point of common coupling (PCC) is sampled and the variance based on mathematics features is calculated in real-time. According to the value of variance, the islanding can be determined. The proposed method not only conquers the disadvantage of the destroy that conventional active islanding detection methods result in to the utility grid, but also detects the islanding effectively when the DG power production match to the load power requirement. And it is quick and effective under the ideal and non-ideal utility grid and the false islanding also can be prevented. Simulation and experiment results verify the correctness and feasibility of the proposed method. This method is suitable for the grid-connected /stand-alone dual-mode micro-grid system.

목차

Abstract
Ⅰ. INTRODUCTION
Ⅱ. DG SYSTEM
Ⅲ. ISLANDING DETECTION BASED ON MATHEMATICAL STATISTICS
Ⅳ. SIMULATION AND EXPERIMENT
Ⅴ. CONCLUSION
REFERENCES

참고문헌 (0)

참고문헌 신청

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2013-560-000302523