• Title/Summary/Keyword: Grid use

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A Photovoltaic Device Model for Grid-connected PV System Simulation (계통연계형 태양광발전시스템의 태양광전지모델 시뮬레이션)

  • Campbell, Ryan;Kim, Hak-Man;Lee, Jong-Su;Shin, Myong-Chul
    • Proceedings of the KIEE Conference
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    • 2006.07a
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    • pp.18-19
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    • 2006
  • The recent interest in distributed generation (DG) due to the opening of the electricity market and the need for alternatives to conventional fossil fuel-based electricity generation has created renewed interest in grid-connected photovoltaic(PV) systems. Many studies are being performed at the power system level to examine the impacts of grid-connected PV systems and several models for PV arrays have been proposed in the literature. However, the complexity of these models and difficulties of implementing them in various software programs can be deterrents to their use. This paper proposes a robust and flexible PV device model suitable for dynamic and transient studies where the PV array's non-linear DC characteristics are important. The model's implementation in software is straightforward and it can even be constructed using standard software library components, as demonstrated using PSCAD/EMTDC.

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A Construction Strategy of Spatial Data Warehouse for New & Renewable Energy (신재생에너지 공간 Data Warehouse 구축전략)

  • Kim, Kwang-Deuk;Yoon, Chang-Youl;Park, Jook-Hyuk
    • 한국태양에너지학회:학술대회논문집
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    • 2008.11a
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    • pp.337-340
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    • 2008
  • As a 'Construction of Information System on GIS based and Resource Map', establish the strategic of design about construction of Spatial Data Warehouse for New & Renewable Energy For Construction of comfortable Spatial Data Warehouse, It suggested The Construction of Spatial Data Warehouse on Block(Grid) Based with Analyze into the old Data & Method of Study. For Decide the Block(Grid) Size, We need The Study of Data & Method. Also, we expect Standardize The Process of Change & Apply with Data. make the best use of New & Renewable Energy Part

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Vision Based Map-Building Using Singular Value Decomposition Method for a Mobile Robot in Uncertain Environment

  • Park, Kwang-Ho;Kim, Hyung-O;Kee, Chang-Doo;Na, Seung-Yu
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.101.1-101
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    • 2001
  • This paper describes a grid mapping for a vision based mobile robot in uncertain indoor environment. The map building is a prerequisite for navigation of a mobile robot and the problem of feature correspondence across two images is well known to be of crucial Importance for vision-based mapping We use a stereo matching algorithm obtained by singular value decomposition of an appropriate correspondence strength matrix. This new correspondence strength means a correlation weight for some local measurements to quantify similarity between features. The visual range data from the reconstructed disparity image form an occupancy grid representation. The occupancy map is a grid-based map in which each cell has some value indicating the probability at that location ...

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MULTIGRID SOLUTION OF THREE DIMENSIONAL BIHARMONIC EQUATIONS WITH DIRICHLET BOUNDARY CONDITIONS OF SECOND KIND

  • Ibrahim, S.A. Hoda;Hassan, Naglaa Ameen
    • Journal of applied mathematics & informatics
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    • v.30 no.1_2
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    • pp.235-244
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    • 2012
  • In this paper, we solve the three-dimensional biharmonic equation with Dirichlet boundary conditions of second kind using the full multigrid (FMG) algorithm. We derive a finite difference approximations for the biharmonic equation on a 18 point compact stencil. The unknown solution and its second derivatives are carried as unknowns at grid points. In the multigrid methods, we use a fourth order interpolation to producing a new intermediate unknown functions values on a finer grid, and the full weighting restriction operators to calculating the residuals at coarse grid points. A set of test problems gives excellent results.

ADAPTIVE GRID SIMULATION OF HYPERBOLIC EQUATIONS

  • Li, Haojun;Kang, Myungjoo
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.17 no.4
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    • pp.279-294
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    • 2013
  • We are interested in an adaptive grid method for hyperbolic equations. A multiresolution analysis, based on a biorthogonal family of interpolating scaling functions and lifted interpolating wavelets, is used to dynamically adapt grid points according to the physical field profile in each time step. Traditional finite-difference schemes with fixed stencils produce high oscillations around sharp discontinuities. In this paper, we hybridize high-resolution schemes, which are suitable for capturing singularities, and apply a finite-difference approach to the scaling functions at non-singular points. We use a total variation diminishing Runge-Kutta method for the time integration. The computational cost is proportional to the number of points present after compression. We provide several numerical examples to verify our approach.

Recent Development of Automated Strain Measurement System for Sheet Metal Parts (판재 변형률 자동측정시스템의 발전)

  • 김형종
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2000.04a
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    • pp.129-133
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    • 2000
  • It is reasonable to use the stereo vision and image processing technique to digitize 3D coordinates of grid points and to evaluate surface strains on a sheet metal parts. However this method has its intrinsic problems such as the difficulty in enhancement of bad images inevitable error due to digital image resolution of camera and frame grabber unreliability of strains and thickness evaluated from coarse grid on the corner area with large curvature and the limitation of the area that can be measured at a time. Therefore it is still hard to measure strain distribution over the entire surface of a medium,- or large-sized stamped part at a time even by using an automated strain measurement system. In this study the curvature correction algorithm based on the grid refinement and the geometry assembling algorithm based on the global error minimization (GEM) scheme are suggested. Several applications are presented to show the reliability and efficiency of these algorithms.

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ROTATION IMPLEMENTATION OF A CIRCULAR CYLINDER IN INCOMPRESSIBLE FLOW VIA STAGGERED GRID APPROACH

  • Xiao Mingqing;Lin Yuan;Myatt James H.;Camphouse R. Chris;Banda Siva S.
    • Journal of applied mathematics & informatics
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    • v.22 no.1_2
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    • pp.67-82
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    • 2006
  • In this paper, we present a finite difference method for the implementation of the rotation of a circular cylinder in the incompressible flow field by solving the two-dimensional unsteady Navier-Stokes equations. The approach is to use staggered grid method so that the accuracy and order of convergence of the associated algorithms can be maintained. The proposed method is easy to be implemented and is effective. A set of simulations for the flow dynamics is provided to show the computational results.

Issues and Solutions of Roe Schemes for High Mach Number Flows (고마하수 유동에서 Roe 해법의 문제와 해결)

  • Won S. H.;Choi J. Y.;Jeung I. S.
    • 한국전산유체공학회:학술대회논문집
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    • 2005.04a
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    • pp.128-134
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    • 2005
  • In the CFD area, the numerical analysis of high Mach number flow over a blunt-body poses many issues. Various numerical schemes have been developed to cover the issues, but the traditional schemes are still used widely due to the complexities of new schemes and intricacy of modifying the established codes. In the present study, the well-known Roe's FDS based on TVD-MUSCL scheme is used for the solution of very high Mach number three-dimensional flows posing carbuncle and non-physical phenomena in numerical analysis. A parametric study was carried out to account for the effects of the entropy fixing, grid configurations and initial condition. The carbuncle phenomena could be easily overcome by the entropy fixing, and the non-physical solution could be eliminated by the use of the modified initial condition regardless of entropy fixing and grid configurations.

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Support Vector Bankruptcy Prediction Model with Optimal Choice of RBF Kernel Parameter Values using Grid Search (Support Vector Machine을 이용한 부도예측모형의 개발 -격자탐색을 이용한 커널 함수의 최적 모수 값 선정과 기존 부도예측모형과의 성과 비교-)

  • Min Jae H.;Lee Young-Chan
    • Journal of the Korean Operations Research and Management Science Society
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    • v.30 no.1
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    • pp.55-74
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    • 2005
  • Bankruptcy prediction has drawn a lot of research interests in previous literature, and recent studies have shown that machine learning techniques achieved better performance than traditional statistical ones. This paper employs a relatively new machine learning technique, support vector machines (SVMs). to bankruptcy prediction problem in an attempt to suggest a new model with better explanatory power and stability. To serve this purpose, we use grid search technique using 5-fold cross-validation to find out the optimal values of the parameters of kernel function of SVM. In addition, to evaluate the prediction accuracy of SVM. we compare its performance with multiple discriminant analysis (MDA), logistic regression analysis (Logit), and three-layer fully connected back-propagation neural networks (BPNs). The experiment results show that SVM outperforms the other methods.

An Energy-Efficient Multi-Hop Scheme Based on Cooperative MIMO for Wireless Sensor Networks

  • Peng, Yu-Yang;Abn, Seong-Beom;Pan, Jae-Kyung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.9A
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    • pp.796-800
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    • 2011
  • An energy-efficient multi-hop scheme based on cooperative MIMO (multiple-input multiple-output) technique is proposed for wireless sensor networks, taking into consideration the modulation constellation size, transmission distance, and extra training overhead requirement. The scheme saves energy by selecting the hop length. In order to evaluate the performance of the proposed scheme, a detailed analysis of the energy and delay efficiencies in the proposed scheme compared with the equidistance scheme is presented. Results from numerical experiments indicate that by use of the proposed scheme significant savings in terms of total energy cousumption can be achieved.