• Title/Summary/Keyword: Multi-Grid

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Study on Multi-scale Unit Commitment Optimization in the Wind-Coal Intensive Power System

  • Ye, Xi;Qiao, Ying;Lu, Zongxiang;Min, Yong;Wang, Ningbo
    • Journal of Electrical Engineering and Technology
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    • v.8 no.6
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    • pp.1596-1604
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    • 2013
  • Coordinating operation between large-scale wind power and thermal units in multiple time scale is an important problem to keep power balance, especially for the power grids mainly made up of large coal-fired units. The paper proposes a novel operation mode of multi-scale unit commitment (abbr. UC) that includes mid-term UC and day-ahead UC, which can take full advantage of insufficient flexibility and improve wind power accommodation. First, we introduce the concepts of multi-scale UC and then illustrate the benefits of introducing mid-term UC to the wind-coal intensive grid. The paper then formulates the mid-term UC model, proposes operation performance indices and validates the optimal operation mode by simulation cases. Compared with day-ahead UC only, the multi-scale UC mode could reduce the total generation cost and improve the wind power net benefit by decreasing the coal-fired units' on/off operation. The simulation results also show that the maximum total generation benefit should be pursued rather than the wind power utilization rate in wind-coal intensive system.

Image Segmentation using Multi-scale Normalized Cut (다중스케일 노멀라이즈 컷을 이용한 영상분할)

  • Lee, Jae-Hyun;Lee, Ji Eun;Park, Rae-Hong
    • Journal of Broadcast Engineering
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    • v.18 no.4
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    • pp.609-618
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    • 2013
  • This paper proposes a fast image segmentation method that gives high segmentation performance as graph-cut based methods. Graph-cut based image segmentation methods show high segmentation performance, however, the computational complexity is high to solve a computationally-intensive eigen-system. This is because solving eigen-system depends on the size of square matrix obtained from similarities between all pairs of pixels in the input image. Therefore, the proposed method uses the small-size square matrix, which is obtained from all the similarities among regions obtained by segmenting locally an image into several regions by graph-based method. Experimental results show that the proposed multi-scale image segmentation method using the algebraic multi-grid shows higher performance than existing methods.

Performance Analysis of the Vertical Multi-stage Centrifugal Pump using Commercial CFD Code (상용 CFD코드를 이용한 입형 다단 원심펌프 성능해석)

  • MO Jang-Oh;KANG Shin-Jeong;SONG Geun-Taek,;NAM Cheong-Do;LEE Young-Ho
    • 한국전산유체공학회:학술대회논문집
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    • 2002.10a
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    • pp.150-155
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    • 2002
  • A commercial CFD code is applied to analyze the 3-D viscous flow field within vertical multi-stage centrifugal pump including impeller with 6 blades and guide vane with 11 blades and is performed by changing flow rate from 10 to $26m^3/h$ at the constant 3500rpm. The purpose of this 3-D numerical simulation is not only to confirm how much the effect of three kinds of blade inlet breadth (11mm, 11.5mm, 12mm) of impeller has influence on the performance of vertical multi-stage pump but also to make clear the cause about performance difference at the exit side of impeller and guide vane. The vertical multi-stage pump consisit of the impeller, guide, vane and cylinder. The grid of numerical analysis used to the vertical multi-stage pump is 18,000, 45,000, and 100000 cells in case of the impeller, guide vane, cylinder and total grid is 730,000 cells. The characteristics such as total pressure coefficient, total head, shaft horse power, power efficiency at the exit side of impeller and guide vane, discharge coefficient are represented according to flow rage changing.

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Hilbert-curve based Multi-dimensional Indexing Key Generation Scheme and Query Processing Algorithm for Encrypted Databases (암호화 데이터를 위한 힐버트 커브 기반 다차원 색인 키 생성 및 질의처리 알고리즘)

  • Kim, Taehoon;Jang, Miyoung;Chang, Jae-Woo
    • Journal of Korea Multimedia Society
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    • v.17 no.10
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    • pp.1182-1188
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    • 2014
  • Recently, the research on database outsourcing has been actively done with the popularity of cloud computing. However, because users' data may contain sensitive personal information, such as health, financial and location information, the data encryption methods have attracted much interest. Existing data encryption schemes process a query without decrypting the encrypted databases in order to support user privacy protection. On the other hand, to efficiently handle the large amount of data in cloud computing, it is necessary to study the distributed index structure. However, existing index structure and query processing algorithms have a limitation that they only consider single-column query processing. In this paper, we propose a grid-based multi column indexing scheme and an encrypted query processing algorithm. In order to support multi-column query processing, the multi-dimensional index keys are generated by using a space decomposition method, i.e. grid index. To support encrypted query processing over encrypted data, we adopt the Hilbert curve when generating a index key. Finally, we prove that the proposed scheme is more efficient than existing scheme for processing the exact and range query.

Optimization of multi-water resources in economical and sustainable way satisfying different water requirements for the water security of an area

  • Gnawali, Kapil;Han, KukHeon;Koo, KangMin;Yum, KyungTaek;Jun, Kyung Soo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2019.05a
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    • pp.161-161
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    • 2019
  • Water security issues, stimulated by increasing population and changing climate, are growing and pausing major challenges for water resources managers around the world. Proper utilization, management and distribution of all available water resources is key to sustainable development for achieving water security To alleviate the water shortage, most of the current research on multi-sources combined water supplies depends on an overall generalization of regional water supply systems, which are seldom broken down into the detail required to address specific research objectives. This paper proposes the concept of optimization framework on multi water sources selection. A multi-objective water allocation model with four objective functions is introduced in this paper. Harmony search algorithm is employed to solve the applied model. The objective functions addresses the economic, environmental, and social factors that must be considered for achieving a sustainable water allocation to solve the issue of water security.

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VPI-based Control Strategy for a Transformerless MMC-HVDC System Under Unbalanced Grid Conditions

  • Kim, Si-Hwan;Kim, June-Sung;Kim, Rae-Young;Cho, Jin-Tae;Kim, Seok-Woong
    • Journal of Electrical Engineering and Technology
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    • v.13 no.6
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    • pp.2319-2328
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    • 2018
  • This paper introduces a control method for a transformerless MMC-HVDC system. The proposed method can effectively control the grid currents of the MMC-HVDC system under unbalanced grid conditions such as a single line-to-ground fault. The proposed method controls the currents of the positive sequence component and the negative sequence component without separating algorithms. Therefore, complicated calculations for extracting the positive sequence and the negative sequence component are not required. In addition, a control method to regulate a zero sequence component current under unbalanced grid conditions in the transformerless MMC-HVDC system is also proposed. The validity of the proposed method is verified through PSCAD/EMTDC simulation.

Analysis of the Flow in Square Cavity Using CIP Method in Non-staggered Grid Arrangement (비엇갈림 격자계에서 CIP법을 이용한 캐비티내의 유동해석)

  • Lee, Jung-Hee;Kang, Joon;Im, Do-Kiun;Kim, Charn-Jung
    • Proceedings of the KSME Conference
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    • 2003.04a
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    • pp.1821-1826
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    • 2003
  • In this study, we discuss CIP method, which can treat compressible/incompressible problem and multi-phase problem. We can apply this method to the general equations by using CCUP. In this paper, non-staggered grid arrangement and predictor-corrector method are used to enhance later development and the solution accuracy and convergence performance. To validate the numerical algorithm proposed in this paper, the two-dimensional unsteady flow in the driven cavity is simulated. The numerical results of this subject using the present algorithm are compared with other numerical results. As a result, it is prived that the present scheme gives stable and improved solutions, and the results even coarse grid are in good agreement with other result using a fine grid arrangement.

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Comparison of Intelligent Charging Algorithms for Electric Vehicles to Reduce Peak Load and Demand Variability in a Distribution Grid

  • Mets, Kevin;D'hulst, Reinhilde;Develder, Chris
    • Journal of Communications and Networks
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    • v.14 no.6
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    • pp.672-681
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    • 2012
  • A potential breakthrough of the electrification of the vehicle fleet will incur a steep rise in the load on the electrical power grid. To avoid huge grid investments, coordinated charging of those vehicles is a must. In this paper, we assess algorithms to schedule charging of plug-in (hybrid) electric vehicles as to minimize the additional peak load they might cause. We first introduce two approaches, one based on a classical optimization approach using quadratic programming, and a second one, market based coordination, which is a multi-agent system that uses bidding on a virtual market to reach an equilibrium price that matches demand and supply. We benchmark these two methods against each other, as well as to a baseline scenario of uncontrolled charging. Our simulation results covering a residential area with 63 households show that controlled charging reduces peak load, load variability, and deviations from the nominal grid voltage.

Flow Analysis of Multi-stage Rocket using Heterogeneous Resources based on Grid Environment (그리드 환경에서 분산된 자원을 이용한 다단 로켓의 유동해석)

  • Ko Soon-Heum;Jung Myungwoo;Kim Chongam;Rho Oh-Hyun;Lee Sangsan
    • 한국전산유체공학회:학술대회논문집
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    • 2002.10a
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    • pp.78-93
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    • 2002
  • 통신 기술의 비약적 발전에 힘입어 기존의 Parallel Computing만으로는 해석할 수 없었던 거대 규모의 문제를 원격지에 있는 고성능의 자원간 연동을 통해 해석하고자 하는 연구가 활발히 진행중이며, 이와 같은 개념을 Grid Computing이라 한다. 본 연구에서는 Grid 환경을 이용한 CFD 해석 방안에 초점을 맞추고 있으며, 이를 위하여 분산된 컴퓨팅 자원을 다양하게 조합하여 Grid 환경에서의 Load Balancing을 위한 병렬 효율에 대한 연구를 수행하였다. 그리고, 다양한 성능 테스트의 결과를 기반으로 Grid 환경에서 두 개의 보조 부스터를 가지는 병렬형 다단 로켓에 대한 유동 해석을 수행하였다.

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Identity-Based Key Management Scheme for Smart Grid over Lattice

  • Wangke, Yu;Shuhua, Wang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.1
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    • pp.74-96
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    • 2023
  • At present, the smart grid has become one of the indispensable infrastructures in people's lives. As a commonly used communication method, wireless communication is gradually, being widely used in smart grid systems due to its convenient deployment and wide range of serious challenges to security. For the insecurity of the schemes based on large integer factorization and discrete logarithm problem in the quantum environment, an identity-based key management scheme for smart grid over lattice is proposed. To assure the communication security, through constructing intra-cluster and inter-cluster multi-hop routing secure mechanism. The time parameter and identity information are introduced in the relying phase. Through using the symmetric cryptography algorithm to encrypt improve communication efficiency. Through output the authentication information with probability, the protocol makes the private key of the certification body no relation with the distribution of authentication information. Theoretic studies and figures show that the efficiency of keys can be authenticated, so the number of attacks, including masquerade, reply and message manipulation attacks can be resisted. The new scheme can not only increase the security, but also decrease the communication energy consumption.