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http://dx.doi.org/10.5370/JEET.2014.9.5.1520

Probabilistic Assessment of Total Transfer Capability Using SQP and Weather Effects  

Kim, Kyu-Ho (Dept. of Electrical Engineering, Hankyong University)
Park, Jin-Wook (LG electronics Co. LTD.)
Rhee, Sang-Bong (Dept. of Electrical Engineering, Yeungnam University)
Bae, Sungwoo (Dept. of Electrical Engineering, Yeungnam University)
Song, Kyung-Bin (Dept. of Electrical Engineering, Soongsil University)
Cha, Junmin (Dept. of Electrical Engineering, Daejin University)
Lee, Kwang Y. (Dept. of Electrical and Computer Engineering., Baylor University)
Publication Information
Journal of Electrical Engineering and Technology / v.9, no.5, 2014 , pp. 1520-1526 More about this Journal
Abstract
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.
Keywords
Total transfer capability; Sequential Quadratic Programming (SQP); Transient stability; Probabilistic approach; Weather condition;
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