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Jeong Semin,Oh Ungjin,Choi Jaeseok,Nakanishi Yosuke 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.1
This paper evaluates the reliability and outage cost of the Korean power system considering the natural disaster incident in the Gyeongju and Yeonggwang areas. It includes the probabilistic reliability assessment simulation of an equivalent power system model. Loss of load expectation (LOLE) and expected energy not served (EENS) are analyzed through the daily and monthly variation of the forced outage rate (FOR) of the modeled generator of Gyeongju and Yeonggwang areas. A generator equation with the increased FOR is proposed, including variation in the failure rate. LOLE, EENS and outage cost indices considering proposed modifi ed FOR quantify the reduction in the reliability an outage cost of the Korean power system due to such a natural disaster. Comparing two area’s results, it is present how much of the reliability has been decreased and how much the cost has been increased.
Residue analysis of multi-class pesticides in watermelon by LC-MS/MS
Park, Semin,Lee, Sung Joong,Kim, Hae Gyeong,Jeong, Won Young,Shim, Jae-Han,Abd El-Aty, A. M.,Jeong, Sung Woo,Lee, Won Sup,Kim, Soo Taek,Shin, Sung Chul WILEY-VCH Verlag 2010 Journal of Separation Science Vol.33 No.4
<P>As watermelon is farmed primarily by protected and successive cultivation techniques, a number of pesticides are required for the control of pests and diseases. To evaluate the harmful effects of pesticides in watermelon and to guarantee consumers' safety, a rapid screening process for pesticides is required. A LC-MS/MS method was applied for the direct quantitation of 44 pesticide residues in watermelon. A Zorbax XDB-C<SUB>18</SUB> column was selected for analysis, with a mobile phase consisting of a gradient system of water and 5 mM methanolic ammonium formate. MS/MS experiments were performed in ESI positive ion and multiple reaction monitoring modes. The LOQs were in the range of 1–26 μg/kg, thereby indicating good sensitivity. Most of the recoveries ranged between 70–131% with RSDs≤20%. We suggested that the amount of pesticide residues such as pyroquilon (pyn), boscalid (bd), and dimethomorph (di) in amides (AM) and cinosulfuron (ci) in ureas (UR) may have been overestimated for the pesticides owing to increased α-error risk, whereas the amounts of pesticide residues, such as imibenconazole (ie) in the triazoles (TR) and fenpyroximate (fee) in the imidazoles (IM), may have been underestimated as the result of increased β-error risk. The current method allowed for the rapid quantitation and identification of low pesticide levels in the watermelon samples. No pesticide residues were detected in any of the surveyed watermelons obtained from eight local markets in the Republic of Korea. Statistical analysis of the recoveries classified the 44 pesticides into nine groups and three overall categories.</P>
탐라해상풍력발전단지의 확률적 시뮬레이션 방법을 이용한 Capacity Credit의 평가
정세민(Semin Jeong),오웅진(Ungjin Oh),이연찬(Yeonchan Lee),최재석(Jaeseok Choi),임진택(Jintaek Lim),이기백(Kibaek Lee) 대한전기학회 2019 전기학회논문지 Vol.68 No.2
This study is described an algorithm for probabilistic production cost credit evaluation of wind turbine generators (WTG) with multi-state and aims to analysis the reliability of wind power generator in Jeju Island power system in order to maintain the operational state of power system at the reliability level. An analysis on generated capacity of wind power generator with Tamla offshore wind farm, which owned by KOEN(Korea South-East Power Co.Ltd.) and without Tamla offshore wind farm has been done in terms of Effective Load Carrying Capability(ELCC) and Capacity Credit(C.C.) in power system from the perspective of Loss of Load Expectation(LOLE). Case studies in this paper demonstrates how it changes the ELCC and C.C. according to the changing of wind speed in the Tamla offshore wind farm.