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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) ¸óÅ×Ä«¸¦·Î ½Ã¹Ä·¹À̼ǿ¡ ÀÇÇÑ Àü·ÂŹ¼Û ¿µÇâÆò°¡
¿µ¹®Á¦¸ñ(English Title) Power Wheeling Effects Evaluation using Monte-Carlo Simulation
ÀúÀÚ(Author) À̹ü   Lee   Buhm  
¿ø¹®¼ö·Ïó(Citation) VOL 07 NO. 03 PP. 0552 ~ 0557 (2003. 06)
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(Korean Abstract)
º» ¿¬±¸¿¡¼­´Â ¸óÅ×Ä«¸¦·Î ½Ã¹Ä·¹À̼ÇÀ» »ç¿ëÇÏ¿© »óÁ¤»ç°í¸¦ °í·ÁÇÑ Àü·ÂŹ¼Û¿¡ µû¸¥ ¿µÇâÆò°¡¸¦ ÇÒ ¼ö ÀÖµµ·Ï ÇÏ¿´À¸¸ç, À̷νá Àü·ÂŹ¼Û¿¡ µû¸¥ Ź¼Ûȸ»çÀÇ ¹ßÀüºñ¿ë, ¼ÛÀü¼Õ½Ç, °èÅë¾ÈÀüµµ¿¡ ¹ÌÄ¡´Â ¿µÇâÀ» ºÐ¼®ÇÒ ¼ö ÀÖµµ·Ï ÇÏ¿´´Ù. Á¦¾ÈÇÑ ¹æ¹ýÀ» ½ÃÇè°èÅë¿¡ Àû¿ëÇÏ¿© º» ¿¬±¸ÀÇ Å¸´ç¼ºÀ» °ËÁõÇÏ¿´´Ù.
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(English Abstract)
This paper presents an algorithm for evaluating power wheeling effects considering contingency using Monte-Carlo simulation. The effects of power wheeling on generating cost, transmission losses, and system security are considered. And, for a specific operating condition, the effects are quantified by the sensitivity of specific quantities of interest with respect to wheeling level. This model is utilized to calculate probability distribution functions of the incremental effects of power wheeling with a Monte-Carlo simulation. The proposed method is applied to IEEE RTS-96 system and the results are presented.
Å°¿öµå(Keyword) Power Wheeling   Monte Carlo Simulation   Transfer Capability  
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