• Journal of Electrical Engineering and Technology
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• 제8권3호
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• pp.464-471
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• 2013

This paper proposes a hybrid searching algorithm based on parameter identification for power system load models. Hybrid searching was performed by the combination of particle swarm optimization (PSO) and a complex method, which enhances the convergence of solutions closer to minima and takes advantage of global searching with PSO. In this paper, the load model of interest is composed of a ZIP model and a third-order model for induction motors for stability analysis, and parameter sets are obtained that best-fit the output measurement data using the hybrid search. The origin of the hybrid method is to further apply the complex method as a local search for finding better solutions using the selected particles from the performed PSO procedure.

• 전기학회논문지
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• 제60권6호
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• pp.1079-1085
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• 2011

To supply electrical power with high quality, the power system must be optimized in many ways such as planning, control and management. In order to optimize the power system, the analysis of the power system is necessary. The elements of the power system require an accurate model to analysis of the power system. The components of the power systems such as generators, transformers and transmission lines have been studied and researched a lot in their modeling and very sophisticated models have been proposed. However, in case of load in-depth studies on the exact model are required. In this paper, measurement-based load modeling method using real-time measured data is proposed in various methods to reflect the characteristics of the load. To prove the validity of the proposed method, PSCAD/EMTDC program is used to configure the power system and measurement data according to the various failures are used to study on load modeling.

• 응용통계연구
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• 제22권4호
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• pp.819-827
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• 2009

김인영 등 (2006)은 두 개 포아송 분포의 혼합모형에 기초한 회귀모형으로써 2002년 (사)볼런티어 21에서 실시한 설문조사 자료를 분석하여 우리나라 개인들이 기부한 횟수에 영향을 미치는 유의적 변수들을 식별하였다. 본고에서는 김인영 등 (2006)에서도 언급하였듯이 기부횟수 0의 관찰 빈도와 예측 빈도간 차이가 유독 큰 점을 감안하여, 0이 팽창된 포아송(zero inflated Poisson: ZIP)을 기존의 두 개의 포아송 혼합분포에 추가하여 일종의 세 개 포아송 혼합분포 형태로 모집단 분포를 구성하며 동 모형의 회귀모형으로써 기부횟수 자료를 재분석하고자 한다. 회귀계수에 대한 추정은 두 단계 EM 알고리즘으로 이루어 졌고, 유의적 설명 변수의 검색은 김인영 등 (2006)과 같았으나 본 연구에서는 고정된 령(零)군의 비율을 0.201로 추정할 수 있었으며, 두 가지 유의적 설명변수인 소득과 자원봉사 중에서 자원봉사가 기부 횟수를 늘리는 안정적 도구 변수로써 작용할 수 있음을 보고하고 있다.

• 전기학회논문지
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• 제65권2호
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• pp.253-256
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• 2016

In this paper, the power system with electric vehicles is analyzed considering the mobility and diffusion rate of electric vehicles in the smart grid environment. In the previous studies, load modeling and load composition rates have been researched and the results are applied to develop a new load model to explain the mobility of electric vehicles which could affect on the power system status such as power flow and stability. The results would be utilized to research and develop power system analysis methods considering movable charging characteristics of electric vehicles including movable discharging characteristics which could be affected by the diffusion progress of electric vehicles.

• 한국안전학회지
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• 제29권3호
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• pp.107-113
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• 2014

The goal of this study is to develop the accident models of motorcycle at roundabouts. In the pursuing the above, this study gives particular attentions to developing the appropriate models using ZAM. The main results are as follows. First, the evaluation of various developed models by the Vuong statistic and over-dispersion parameter shows that ZINB is analyzed to be optimal among Poisson, NB, ZIP(zero-inflated Poisson) and ZINB regression models. Second, the traffic volume, width of central island and width of approach are evaluated to be important variables to the accidents. Finally, the common variables that affect to the accident are selected to be traffic volume and width of approach. This study might be expected to give some implications to the accident research on the roundabout by motorcycle.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2022년도 추계학술대회
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• pp.33-33
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• 2022

Rice (Oryza sativa L.) is a widely studied domesticated model plant. Seed awning is an unfavorable trait during rice harvesting and processing. Hence, awn was one of the target characters selected during domestication. However, the genetic mechanisms underlying awn development in rice are not well understood. In this study, we analyzed the genes for awn development using a mapping population derived from a cross between the Korean indica cultivar 'Milyang23' and NIL4/9 (derived from a cross between 'Hwaseong' and O. minuta). Two quantitative trait loci (QTLs), qAwn4 and qAwn9 were mapped on chromosome 4 and 9, respectively, increased awn length in an additive manner. Through comparative sequencing analyses parental lines, LABA1 was determined as the causal gene underlying qAwn4. qAwn9 was mapped to a 199-kb physical region between markers RM24663 and RM24679. Within this interval, 27 annotated genes were identified, and five genes, including a basic leucine zipper transcription factor 76 (OsbZIP76), were considered candidate genes for qAwn9 based on their functional annotations and sequence variations. Haplotype analysis using the candidate genes revealed tropical japonica specific sequence variants in the qAwn9 region, which partly explains the non-detection of qAwn9 in previous studies that used progenies from interspecific crosses. This provides further evidence that OsbZIP76 is possibly a causal gene for qAwn9. The O. minuta qAwn9 allele was identified as a major QTL associated with awn development in rice, providing an important molecular target for basic genetic research and domestication studies. Our results lay the foundation for further cloning of the awn gene underlying qAwn9.

• 한국도로학회논문집
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• 제16권2호
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• pp.119-129
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• 2014

PURPOSES : The purpose of this study is to develop the U-turn accident model at 4-legged signalized intersections in urban areas. METHODS : In order to analyze the characteristics of the accidents which are associated with U-turn operation at 4-legged signalized intersections in urban areas and develop an U-turn accident model by regression analysis, the tests of overdispersion and zero-inflation are conducted about the dependent variables of number of accidents and EPDO (Equivalent Property Damage Only). RESULTS : As their results, the Poisson model fits best for number of accident and the ZIP (Zero Inflated Poisson) fits best for EPOD, the variables of conflict traffic, width of opposing road, traffic passing speed are adopted as independent variable for both models. The variables of number of bus berths and rate of U-turn signal time at which the U-turn is permitted are adopted as independent variable only for EPDO. CONCLUSIONS : These study results suggest that U-turn would be permitted at the intersection where the width of opposing road is wider than 11.9 meters, the passing vehicle speed is not high and U-turn operation is not hindered by the buses stopping at bus stops.

• Journal of Electrical Engineering and Technology
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• 제7권5호
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• pp.653-658
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• 2012

Load modeling has a significant influence on power system analysis and control. In recent years, measurement-based load modeling has been widely practiced. In the load modeling algorithm, the model structure is determined and the parameters of the established model are estimated. For parameter estimation, least-squares optimization method is applied. The model parameters are estimated so that the error between the measured values and the predicted values is to be minimized. By introducing sliding window concept, on-line load modeling method can be performed which reflects the dynamic behaviors of loads in real-time. For the purpose of data acquisition, the measurement system including PMU is implemented in university level. In this paper, case studies are performed using real PMU data from Korea Univ. and Seoul National University of Science and Technology. The performances of modeling real and reactive power behaviors using exponential and ZIP load model are evaluated.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2011년도 제42회 하계학술대회
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• pp.184-186
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• 2011

부하 모델링을 위해서는 구성요소기반 부하모델링과 측정기반 부하모델링 두 가지 방법이 사용된다. 구성요소기반 부하모델링은 모선에 부하의 구성비에 기반으로 하는 부하모델 기법이고, 측정기반 부하모델링은 부하가 설치된 모선의 전압과 소비전력의 측정값으로부터 관계를 수학적으로 모델링하는 기법이다. 본 논문에서는 부하모델을 위해 복합부하모델이 적용되었다. 복합부하모델은 정적부하모델과 동적부하모델을 모두 포함하고 있으며, 정적부하모델로서는 ZIP 모델이 사용되고, 동적 부하모델로는 유도전동기 모델이 사용되었다. 측정기반 부하모델의 파라미터 추정을 위해 TSAT(trensient security assessment tool) 프로그램으로부터 얻은 측정데이터를 이용해 파라미터 추정을 한다. 또한 사용자 편의를 위한 GUI(graphical user interface)의 적용을 통한 부하모델 파라미터 추정 프로그램을 개발하였다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2011년도 제42회 하계학술대회
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• pp.606-607
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• 2011

전력계통의 부하를 모델링하기 위해서는 부하 모델 구조의 선정과 부하모델 구조의 파라미터를 추정하는 방법이 필요하다. 부하 모델의 구조는 ZIP모델을 사용하고, 부하 모델의 파라미터를 추정하는 방법으로는 Levenberg-Marquardt방법을 사용하여 한국전력공사 변전소이차 측에서 측정된 실측 데이터를 이용하여 부하를 모델링하였다. 또한 모델링된 부하의 대표파라미터를 선정하고 대표파라미터를 실제 계통에 적용하였을 때의 오차를 분석하였다.