Probabilistic Assessment of Total Transfer Capability Using SQP and Weather Effects

  • Kim, Kyu-Ho; 
  • Park, Jin-Wook; 
  • Rhee, Sang-Bong; 
  • Bae, Sungwoo; 
  • Song, Kyung-Bin; 
  • 외 2명
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초록

This paper presents a probabilistic method to evaluate the total transfer capability (TTC) by considering the sequential quadratic programming and the uncertainty of weather conditions. After the initial TTC is calculated by sequential quadratic programming (SQP), the transient stability is checked by time simulation. Also because power systems are exposed to a variety of weather conditions the outage probability is increased due to the weather condition. The probabilistic approach is necessary to evaluate the TTC, and the Monte Carlo Simulation (MCS) is used to accomplish the probabilistic calculation of TTC by considering the various weather conditions.

키워드

Total transfer capability; Sequential Quadratic Programming (SQP); Transient stability; Probabilistic approach; Weather condition
제목
Probabilistic Assessment of Total Transfer Capability Using SQP and Weather Effects
저자
Kim, Kyu-Ho; Park, Jin-Wook; Rhee, Sang-Bong; Bae, Sungwoo; Song, Kyung-Bin; Cha, Junmin; Lee, Kwang Y.
DOI
10.5370/JEET.2014.9.5.1520
발행일
2014-09
유형
Article
저널명
Journal of Electrical Engineering & Technology
권
9
호
5
페이지
1520 ~ 1526