개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
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지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
This paper presents a method to calculate a sag cumulative table and density table based on the area of vulnerability to voltage sags. The expected sag performance at sensitive load points can be easily assessed through the calculation of the sag cumulative table and density table. However, the calculation of the tables regarding large power systems is very difficult task. Therefore, an efficient method for calculating the tables is needed. In this paper, the improved method to determine the areas of vulnerability is addressed and the method to calculate the tables based on the area of vulnerability is also described. The proposed scheme can be efficiently used to assess the voltage sag performance at sensitive load points in large power systems.
목차
Abstract
1. 서론
2. 순간전압강하 평가 기술
3. 누적 테이블 및 밀도 테이블의 계산
4. 사례연구
5. 결론
References
참고문헌 (9)
참고문헌 신청
M. H. J. Bollen / Understanding Power Quality Problems: Voltage Sags and Interruptions
R. C. Dugan / 2002 / Electrical Power Systems Quality / McGraw-Hill
M. H. J. Bollen / 1996 / Fast Assessment Methods for Voltage Sags in Distribution Systems / IEEE Trans. Ind. Appl. 32(6):1414~1423
L. Conrad / 1991 / Predicting and Preventing Problems Associated with Remote Fault-clearing Voltage Dips / IEEE Trans. Ind. Appl. 27(1):167~172
M. R. Qader / 1999 / Stochastic Prediction of Voltage sags in a Large Transmission System / IEEE Trans. Ind. Appl. 35(1):152~162
R. C. Dugan / 2002 / Electrical Power Systems Quality / McGraw-Hill
M. H. J. Bollen / 1996 / Fast Assessment Methods for Voltage Sags in Distribution Systems / IEEE Trans. Ind. Appl. 32(6):1414~1423
L. Conrad / 1991 / Predicting and Preventing Problems Associated with Remote Fault-clearing Voltage Dips / IEEE Trans. Ind. Appl. 27(1):167~172
M. R. Qader / 1999 / Stochastic Prediction of Voltage sags in a Large Transmission System / IEEE Trans. Ind. Appl. 35(1):152~162
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UCI(KEPA) : I410-ECN-0101-2015-500-001563362