Probabilistic Assessment of Total Transfer Capability Using SQP and Weather Effects

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. Afterthe initial TTC is calculated by sequential quadratic programming (SQP), the transient stability ischecked by...

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Veröffentlicht in:Journal of electrical engineering & technology 2014, 9(5), , pp.1520-1526
Hauptverfasser: Kim, Kyu-Ho, Park, Jin-Wook, Rhee, Sang-Bong, Bae, Sungwoo, Song, Kyung-Bin, Cha, Junmin, Lee, Kwang Y.
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Sprache:eng
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Zusammenfassung: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. Afterthe initial TTC is calculated by sequential quadratic programming (SQP), the transient stability ischecked by time simulation. Also because power systems are exposed to a variety of weatherconditions the outage probability is increased due to the weather condition. The probabilistic approachis necessary to evaluate the TTC, and the Monte Carlo Simulation (MCS) is used to accomplish theprobabilistic calculation of TTC by considering the various weather conditions. KCI Citation Count: 0
ISSN:1975-0102
2093-7423
DOI:10.5370/JEET.2014.9.5.1520