• 제목/요약/키워드: Adaptive Grid

검색결과 222건 처리시간 0.021초

비정렬 적응격자를 이용한 기체-입자 혼합유체에서의 충격파 전파의 계산 (Adaptive Unstructured-Grid Computation of Shock Wave Propogation in the Gas-Particle Suspension)

  • 박기철;장근식
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 1999년도 추계 학술대회논문집
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    • pp.36-41
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    • 1999
  • Shock wave propagating in the particle suspension has important applications. Examples are shock waves occurring in the solid rocket plume and detonation of dusty particles by shock waves. Experimental and numerical investigations on this subject have drawn much attention. More recently, Sivier et al. numerically simulated the experiment of Sommerfeld using the unstructured adaptive grid. They used the Eulerian-Eulerian approach based on the continuum assumption for both gas and particles. In the present paper, a new numerical method using the Lagrangian particle tracing technique and unstructured particle-adaptive grid for the polydisperse system is presented. It is explained why the existing numerical calculation has showed discrepancy with the experimental results by Sommerfeld.

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AiTES를 사용한 태양광 발전이 포함된 자가 적응적 스마트 그리드 (Self-Adaptive Smart Grid with Photovoltaics using AiTES)

  • 박성식;박용범
    • Journal of Platform Technology
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    • 제6권3호
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    • pp.38-46
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    • 2018
  • 스마트 그리드는 전력 생산자와 소비자 간의 양방향 통신을 통해 효율적으로 전력을 생산 및 소비하기 위한 지능형 전력망이다. 신재생 에너지가 발전하면서 신재생 에너지가 스마트 그리드에서 차지하는 비율이 점점 높아지고 있다. 신재생 에너지는 발전량이 실시간으로 변하기 때문에 발전량의 예측 및 조절이 가능한 기존의 발전 방식과는 다른 문제점이 있다. 스마트 그리드에 자가 적응 프레임워크를 적용하는 것은 실시간으로 변하는 신재생 에너지의 발전량에 적응함으로써 스마트 그리드의 효율적인 운영을 가능케 할 것이다. 본 논문에서는 태양광 발전 시설이 설치된 스마트 마을을 가정하고 이에 자가 적응 프레임워크인 AiTES 를 적용 하여 자가 적응 프레임워크를 통해 스마트 그리드의 효율적인 운영이 가능함을 보였다.

DRF-based Object Detection Using the Object Adaptive Patch in the Satellite Imagery

  • Choi, Hyoung-Min;Lee, Kyoung-Mu;Lee, Sang-Uk
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2009년도 IWAIT
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    • pp.85-88
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    • 2009
  • In this paper, we propose a DRF-based object detection method using the object adaptive patch in the satellite imagery. It is a Discriminative Random Fields (DRF) based work, so the detection is done by labeling to the possible patches in the image. For the feature information of each patch, we use the multi-scale and object adaptive patch and its texton histogram, instead of using the single scale and fixed grid patch. So, we can include contextual layout of texture information around the object. To make object adaptive patch, we use "superpixel lattice" scheme. As a result, each group of labeled patches represents the object or object's presence region. In the experiment, we compare the detection result with a fixed grid scheme and shows our result is more close to the object shape.

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Review of Operational Multi-Scale Environment Model with Grid Adaptivity

  • Kang, Sung-Dae
    • Environmental Sciences Bulletin of The Korean Environmental Sciences Society
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    • 제10권S_1호
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    • pp.23-28
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    • 2001
  • A new numerical weather prediction and dispersion model, the Operational Multi-scale Environment model with Grid Adaptivity(OMEGA) including an embedded Atmospheric Dispersion Model(ADM), is introduced as a next generation atmospheric simulation system for real-time hazard predictions, such as severe weather or the transport of hazardous release. OMEGA is based on an unstructured grid that can facilitate a continuously varying horizontal grid resolution ranging from 100 km down to 1 km and a vertical resolution from 20 -30 meters in the boundary layer to 1 km in the free atmosphere. OMEGA is also naturally scale spanning and time. In particular, the unstructured grid cells in the horizontal dimension can increase the local resolution to better capture the topography or important physical features of the atmospheric circulation and cloud dynamics. This means the OMEGA can readily adapt its grid to a stationary surface, terrain features, or dynamic features in an evolving weather pattern. While adaptive numerical techniques have yet to be extensively applied in atmospheric models, the OMEGA model is the first to exploit the adaptive nature of an unstructured gridding technique for atmospheric simulation and real-time hazard prediction. The purpose of this paper is to provide a detailed description of the OMEGA model, the OMEGA system, and a detailed comparison of OMEGA forecast results with observed data.

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First-order Generalized Integrator Based Frequency Locked Loop and Synchronization for Three-Phase Grid-connected Converters under Adverse Grid Conditions

  • Luo, Zhaoxu;Su, Mei;Sun, Yao;Liu, Zhangjie;Dong, Mi
    • Journal of Power Electronics
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    • 제16권5호
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    • pp.1939-1949
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    • 2016
  • This paper presents an alternative frequency adaptive grid synchronization technique named HDN-FLL, which can accurately extract the fundamental positive- and negative-sequence components and interested harmonics in adverse three-phase grid voltage. The HDN-FLL is based on the harmonic decoupling network (HDN) consisting of multiple first order complex vector filters (FOCVF) with a frequency-locked loop (FLL), which makes the system frequency adaptive. The stability of the proposed FLL is strictly verified to be global asymptotically stable. In addition, the linearization and parameters tuning of the FLL is also discussed. The structure of the HDN has been widely used as a prefilter in grid synchronization techniques. However, the stability of the general HDN is seldom discussed. In this paper, the transfer function expression of the general HDN is deduced and its stability is verified by the root locus method. To show the advantages of the HDN-FLL, a simulation comparison with other gird synchronization methods is carried out. Experimental results verify the excellent performance of the proposed synchronization method.

Biform Game Based Cognitive Radio Scheme for Smart Grid Communications

  • Kim, Sungwook
    • Journal of Communications and Networks
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    • 제14권6호
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    • pp.614-618
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    • 2012
  • Smart grid is widely considered to be a next generation power grid, which will be integrated with information feedback communications.However, smart grid communication technologies are subject to inefficient spectrum allocation problems. Cognitive radio networks can solve the problemof spectrumscarcity by opening the under-utilized licensed bands to secondary users. In this paper, adaptive cognitive radio spectrum sensing and sharing algorithms are developed for smart grid environments. Simulation results are presented to demonstrate the effectiveness of the proposed scheme in comparison with other existing schemes.

Evaluation of the Wind Power Penetration Limit and Wind Energy Penetration in the Mongolian Central Power System

  • Ulam-Orgil, Ch.;Lee, Hye-Won;Kang, Yong-Cheol
    • Journal of Electrical Engineering and Technology
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    • 제7권6호
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    • pp.852-858
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    • 2012
  • This paper describes evaluation results of the wind power penetration limit (WPPL) and the wind energy penetration (WEP) in the Mongolian central power system (MCPS). A wind power plant (WPP) in a power system possesses an output power limit because the power system must maintain a balance between the generation and consumption of electricity at all times in order to achieve an adequate level of quality. The instantaneous penetration limit (IPL) of wind generation at a load is determined as the minimum of the three technical constraints: the minimum output, the ramp rate capability, and the spinning reserve of the conventional generating units. In this paper, a WPPL is defined as the maximum IPL divided by the peak load. A maximal variation rate (VR) of wind power is a major factor in determining the IPL, WPPL, and WEP. This paper analyzes the effects of the maximal VR of wind power on the WPPL, WEP, and capacity factor (CF) in the MCPS. The results indicate that a small VR can facilitate a large amount of wind energy while maintaining a high CF with increased wind power penetration.

삼각형 요소의 격자 세분화를 이용한 자유 표면 유동장의 유한 요소 해석 (Finite Element Analysis of Fluid Flow with Free Surface by using Grid Refinement of Triangular Elements)

  • 김기돈;양동열;정준호
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2003년도 추계학술대회
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    • pp.939-944
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    • 2003
  • The analysis involves an adaptive grid that is created under a criterion of element categorization of filling states and locations in the total region at each time step. By using an adaptive grid wherein the elements, finer than those in internal and external regions, are distributed at the surface region through refinement and coarsening procedures, a more efficient analysis of transient fluid flow with free surface is achieved. Using the proposed numerical technique, the collapse of a dam is analyzed. The numerical results agree well with the theoretical solutions as well as with the experimental results. Through comparisons with the numerical results of several cases using different types of grids, the efficiency of the proposed technique is verified.

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LOCALLY ENRICHED QUADTREE GRID NUMERICAL MODEL FOR NEARSHORE CIRCULATION IN THE SURF ZONE

  • Park, Koo-Yong
    • Water Engineering Research
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    • 제1권3호
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    • pp.187-197
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    • 2000
  • This paper describes an adaptive quadtree-based 2DH wave-current interaction model which is able to predict wave breaking, shoaling, refraction, diffraction, wave-current interaction, set-up and set-down, mixing processes (turbulent diffusion), bottom frictional effects, and movement of the land-water interface at the shoreline. The wave period-and depth-averaged governing equations are discretised explictly by means of an Adams-Bashforth second-order finite difference technaique on adaptive hierarchical staggered quadtree grids. Grid adaptation is achieved through seeding points distributed according to flow criteria(e.g. local current gradients). Results are presented for nearshore circulation at a sinusoidal beach. Enrichment permits refined modelling of important localised flow features.

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A Global Optimal Approach for Robot Kinematics Design using the Grid Method

  • Park Joon-Young;Chang Pyung-Hun;Kim Jin-Oh
    • International Journal of Control, Automation, and Systems
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    • 제4권5호
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    • pp.575-591
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    • 2006
  • In a previous research, we presented the Grid Method and confirmed it as a systematic and efficient problem formulation method for the task-oriented design of robot kinematics. However, our previous research was limited in two ways. First, it gave only a local optimum due to its use of a local optimization technique. Second, it used constant weights for a cost function chosen by the manual weights tuning algorithm, thereby showing low efficiency in finding an optimal solution. To overcome these two limitations, therefore, this paper presents a global optimization technique and an adaptive weights tuning algorithm to solve a formulated problem using the Grid Method. The efficiencies of the proposed algorithms have been confirmed through the kinematic design examples of various robot manipulators.