• Title/Summary/Keyword: Multilevel model

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Novel Control of STATCOM Using Cascade Multilevel Inverter for High Power Application (대전력용 직렬형 멀티레벨 인버터 이용한 STATCOM의 새로운 제어기법)

  • Min, Wan-Ki;Choi, Jae-Ho
    • Proceedings of the KIEE Conference
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    • 2000.07e
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    • pp.136-141
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    • 2000
  • This paper proposes the novel control of a static synchronous compensator (STATCOM). This STATCOM system consists of cascade multilevel inverter which employs H-bridge inverter(HBI) The STATCOM system is modeled in the d-q transform matrix. This model is used to design a controller. The selective harmonic elimination method(SHEM) allows to keep the total harmonic distortion (THD) low in the output voltage. The switching method produces the staircase type waveform in cascade multilevel inverter. To balance the DC voltages in HBIs capacitor, the rotated switching scheme is newly proposed in this paper. The proposed control scheme is verified in the simulated results.

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The Use of Multilevel Model to Evaluate the Risk Factors for Porcine Reproductive and Respiratory Syndrome in Swine Herds (다층모형을 이용한 국내 양돈농가의 돼지생식기호흡기증후군 위험요인 분석)

  • Kim, Eu-Tteum;Lee, Kyoung-Ki;Kim, Seong-Hee;Pak, Son-Il
    • Journal of Veterinary Clinics
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    • v.34 no.2
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    • pp.140-145
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    • 2017
  • The goal of this study was to investigate risk factors associated with porcine reproductive and respiratory syndrome (PRRS) in pig farms in the Republic of Korea using logistic regression and a multilevel model. A cross-sectional study was applied to 305 pig farms with a questionnaire-based interview by veterinarians between March 2014 and February 2015. The questionnaire comprised eight categories: proximity to neighbors, disinfection, visitors, vehicles, insecticides, wild animals, gilts, and feeding. In total, 61 questions in eight categories related to pig farm biosecurity were investigated. Farms were classified as PRRS stable or unstable based on the results of an antibody test and PCR. For univariate analysis, keeping production records with computers (OR = 0.283, 95% CI = 0.056 - 1.425), accredited farm with no use of antibiotics (OR = 0.412, 95% CI = 0.134 - 1.269), reviewing health record of semen prior to purchasing (OR = 0.492, 95% CI = 0.152 - 1.589), complete isolation of runt pigs (OR = 0.264, 95% CI = 0.084 - 0.829), compulsory registering for visitors (OR = 0.424, 95% CI = 0.111 - 1.612), keeping records of insecticide history (OR = 0.406, 95% CI = 0.089 - 1.846), routine on-farm monitoring by veterinarians (OR = 0.314, 95% CI = 0.069 - 1.423), and use of on-farm checklist for biosecurity monitoring (OR = 0.313, 95% CI = 0.063 - 1.553) were found to decrease the probability of PRRS infection. Multivariate and multilevel analysis revealed only two factors, complete isolation of runt pigs (OR = 0.165, 95% CI = 0.045 - 0.602 and OR = 0.208, 95% CI = 0.055 - 0.782) and compulsory registering for visitors (OR = 0.106, 95% CI = 0.017 - 0.655 and OR = 0.119, 95% CI = 0.017 - 0.809) were found to decrease the probability of PRRS infection. The intracluster correlation coefficient of a province for multilevel model was 0.05. The results of this study might facilitate biosecurity measures for individual farms to reduce the probability of PRRS infection.

Finite Control Set Model Predictive Current Control for a Cascaded Multilevel Inverter

  • Razia Sultana, W.;Sahoo, Sarat Kumar
    • Journal of Electrical Engineering and Technology
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    • v.11 no.6
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    • pp.1674-1683
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    • 2016
  • In this paper, a Finite Control Set Model Predictive Control (FCS-MPC) for a five level cascaded multilevel inverter (CMLI) with reduced switch topology is proposed. Five switches are used here instead of conventionally used eight switches. The main contribution of this paper is to make the MPC controller work for the reduced switch topology using only 19 voltage vectors in place of conventional 61 voltage vectors for a five level CMLI. This simplifies the execution of the MPC algorithm, paving a way for the significant reduction in the computational time. The controller makes use of the excellent ability of MPC to multitask, by adding one more objective which is to reduce the average switching frequency in addition to controlling the load current. This is especially important, since switching losses and therefore switching frequency is significant for high-power applications. The trade-off of this MPC is that the current is not as smooth as the 61 vector scheme, but well within the limits of IEEE standards. The results shown prove that this MPC works well in steady state and dynamic conditions too.

Multi-level Modeling and Simulation of Electrical Vehicles (전기자동차의 다중레벨 모델링과 시뮬레이션)

  • Oh, Yong-Taek;van Duijsen, P.J.
    • The Journal of Korean Institute for Practical Engineering Education
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    • v.4 no.2
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    • pp.129-135
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    • 2012
  • There are many ways in which electric vehicles are mathematically modeled and simulated. The components have different physical background and models, but have to fit into one mathematical model. A multiphysics model structure is required. Depending on the goal of the simulation, there are various levels on which the simulation can be performed. This is called multilevel, consisting of a conceptual system level, a circuit level and a more detailed component level. This paper discusses which multiphysics models and multilevel simulations are required for the various components in an electric vehicle. Also, this simulation approach could improve the effectiveness of learning in engineering education.

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Multi-Level Models for Activity Participation and Travel Behaviors (다수준 모형을 이용한 활동참여와 통행행태 분석)

  • 최연숙;정진혁;김성호
    • Journal of Korean Society of Transportation
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    • v.20 no.7
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    • pp.79-85
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    • 2002
  • In this paper, multilevel models are adopted to identify interactions among household members in trip making behaviors. The multilevel approach is a proper methodology to handle samples, which are extracted from a hierarchical structure universe. PSTP dataset is used in developing models and understand proportion of variations among individuals and household. The results of this study show that for activity participation and travel behavior household level variance is more than 1/4 of person level variance and therefore not negligible. The results confirm the importance of multilevel model in travel behavior analysis.

Modeling, Analysis, and Enhanced Control of Modular Multilevel Converters with Asymmetric Arm Impedance for HVDC Applications

  • Dong, Peng;Lyu, Jing;Cai, Xu
    • Journal of Power Electronics
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    • v.18 no.6
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    • pp.1683-1696
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    • 2018
  • Under the conventional control strategy, the asymmetry of arm impedances may result in the poor operating performance of modular multilevel converters (MMCs). For example, fundamental frequency oscillation and double frequency components may occur in the dc and ac sides, respectively; and submodule (SM) capacitor voltages among the arms may not be balanced. This study presents an enhanced control strategy to deal with these problems. A mathematical model of an MMC with asymmetric arm impedance is first established. The causes for the above phenomena are analyzed on the basis of the model. Subsequently, an enhanced current control with five integrated proportional integral resonant regulators is designed to protect the ac and dc terminal behavior of converters from asymmetric arm impedances. Furthermore, an enhanced capacitor voltage control is designed to balance the capacitor voltage among the arms with high efficiency and to decouple the ac side control, dc side control, and capacitor voltage balance control among the arms. The accuracy of the theoretical analysis and the effectiveness of the proposed enhanced control strategy are verified through simulation and experimental results.

Verification of multilevel octree grid algorithm of SN transport calculation with the Balakovo-3 VVER-1000 neutron dosimetry benchmark

  • Cong Liu;Bin Zhang;Junxia Wei;Shuang Tan
    • Nuclear Engineering and Technology
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    • v.55 no.2
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    • pp.756-768
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    • 2023
  • Neutron transport calculations are extremely challenging due to the high computational cost of large and complex problems. A multilevel octree grid algorithm (MLTG) of discrete ordinates method was developed to improve the modeling accuracy and simulation efficiency on 3-D Cartesian grids. The Balakovo-3 VVER-1000 neutron dosimetry benchmark is calculated to verify and validate this numerical technique. A simplified S2 synthetic acceleration is used in the MLTG calculation method to improve the convergence of the source iterations. For the triangularly arranged fuel pins, we adopt a source projection algorithm to generate pin-by-pin source distributions of hexagonal assemblies. MLTG provides accurate geometric modeling and flexible fixed source description at a lower cost than traditional Cartesian grids. The total number of meshes is reduced to 1.9 million from the initial 9.5 million for the Balakovo-3 model. The numerical comparisons show that the MLTG results are in satisfactory agreement with the conventional SN method and experimental data, within the root-mean-square errors of about 4% and 10%, respectively. Compared to uniform fine meshing, approximately 70% of the computational cost can be saved using the MLTG algorithm for the Balakovo-3 computational model.

Multilevel Analysis on Spatial Distribution and Socio-Environmental Factors of Dental Caries in Korean Children

  • See-in Park;Changmin Im;Gimin Kim;Jaesik Lee
    • Journal of the korean academy of Pediatric Dentistry
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    • v.51 no.1
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    • pp.40-54
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    • 2024
  • This study aims to identify the regional distribution in the prevalence of dental caries and related multidimensional factors among 12-year-old children in Korea. Data from the 2018 Child Oral Health Survey were used to calculate the average DMFT index of 12-year-old children in metropolitan cities, and a multi-level regression model was applied to explain the regional distribution of dental caries prevalence and related factors. Factors were divided into two levels by administrative structure. This study finds a significant regional difference in the prevalence of dental caries in 12-year-old Korean children across metropolitan cities. Multilevel analysis showed that district-level factors (average number of pit and fissure-sealed permanent teeth, dental treatment demand rate, preventive treatment rate, sex ratio, and number of dentists per 100,000 people) and metropolitan-level factors (intakes of cariogenic beverages and number of pediatric dental hospitals and clinics per 100,000 people) had a significant effect on dental caries prevalence (p < 0.05). Individual characteristics and local socio-environmental factors influence the prevalence of dental caries. Especially considering the strong dependence on preventive treatment and accessibility to dental care services, it is necessary to provide adequate preventive treatment and expand health care resources in high-risk areas of dental caries.

Fast Diagnosis Method for Submodule Failures in MMCs Based on Improved Incremental Predictive Model of Arm Current

  • Xu, Kunshan;Xie, Shaojun
    • Journal of Power Electronics
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    • v.18 no.5
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    • pp.1608-1617
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    • 2018
  • The rapid and correct isolation of faulty submodules (SMs) is of great importance for improving the reliability of modular multilevel converters (MMCs). Therefore, a fast diagnosis method containing fault detection and fault location determination was presented in this paper. An improved incremental predictive model of arm current was proposed to detect failures, and the multi-step prediction method was used to eliminate the negative impact of disturbances. Moreover, a control method was proposed to strengthen the fault characteristics to rapidly locate faulty arms and faulty SMs by detecting the variation rate of the SM capacitor voltage. The proposed method can rapidly and easily locate faulty SMs under different load conditions without the need for additional sensors. The experimental results have validated the effectiveness of the proposed method by using a single-phase MMC with four SMs per arm.

Determinants and Regional Patterns of Parent-child Coresidence among Older Korean Parents, 1985-2005 (노부모-자녀 동거의 결정요인과 지역간 차이, 1985-2005)

  • Kim, Mi-Young;Lee, Seong-Woo
    • Journal of Korean Society of Rural Planning
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    • v.15 no.4
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    • pp.89-107
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    • 2009
  • The main objective of the present study is to find out which factors affect coresidence between older Korean parents and their adult children and to examine the regional patterns of the phenomenon. The 1980, 1995 and 2005 Korea census data are used to investigate the determinants of two types of parent-child coresidence. The two types are coresidence with married adult children and one with unmarried adult children. The study takes advantage of the multilevel mltinomial logit model, allowing the model to capture regional differences. Findings from the study are: (1) Korean parents' coresidence with their married adult children and one with their unmarried adult children are distinctive in their determinants; (2) variables related to wealth or economic status are positively related with possibilities of both types of coresidence; and (3) considerable regional differences in the possibility of coresidence do exist among regions in Korea.