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Probabilistic Assessment of Total Transfer Capability Using SQP and Weather Effects
- Authors
- Kim, Kyu-Ho; Park, Jin-Wook; Rhee, Sang-Bong; Bae, Sungwoo; Song, Kyung-Bin; Cha, Junmin; Lee, Kwang Y.
- Issue Date
- Sep-2014
- Publisher
- KOREAN INST ELECTR ENG
- Keywords
- Total transfer capability; Sequential Quadratic Programming (SQP); Transient stability; Probabilistic approach; Weather condition
- Citation
- JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, v.9, no.5, pp.1520 - 1526
- Indexed
- SCIE
SCOPUS
KCI
- Journal Title
- JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
- Volume
- 9
- Number
- 5
- Start Page
- 1520
- End Page
- 1526
- ISSN
- 1975-0102
- 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.
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Related Researcher
- Bae, Sung Woo
- COLLEGE OF ENGINEERING (MAJOR IN ELECTRICAL ENGINEERING)