• Title/Summary/Keyword: Optimal Order Point

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Coordinated Control Strategy for Power Systems with Wind Farms Integration Based on Phase-plane Trajectory

  • Zeng, Yuan;Yang, Yang;Qin, Chao;Chang, Jiangtao;Zhang, Jian;Tu, Jingzhe
    • Journal of Electrical Engineering and Technology
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    • v.13 no.1
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    • pp.20-29
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    • 2018
  • The dynamic characteristics of power systems become more and more complex because of the integration of large-scale wind power, which needs appropriate control strategy to guarantee stable operation. With wide area measurement system(WAMS) creating conditions for realizing realt-ime transient stability analysis, a new coordinated control strategy for power system transient stability control based on phase-plane trajectory was proposed. When the outputs of the wind farms change, the proposed control method is capable of selecting optimal generators to balance the deviation of wind power and prevent transient instability. With small disturbance on the base operating point, the coordinated sensitivity of each synchronous generator is obtained. Then the priority matrix can be formed by sorting the coordinated sensitivity in ascending order. Based on the real-time output change of wind farm, coordinated generators can be selected to accomplish the coordinated control with wind farms. The results in New England 10-genrator 39-bus system validate the effectiveness and superiority of the proposed coordinated control strategy.

ECO Driving Patterns Derived from the Analysis of the Problems of the Current Driving Pattern of Electric Multiple Unit in ATO System (현행 ATO 시스템 전동차 운행패턴의 문제점 분석을 통한 ECO 운행패턴 도출방안 연구)

  • Kim, Kyujoong;Lee, Keunoh;Kim, Juyong
    • Journal of the Korean Society of Safety
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    • v.28 no.3
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    • pp.23-28
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    • 2013
  • This study focuses on finding ways to derive train's optimal ECO driving pattern, which can improve the ride quality and reduce driving energy consumption with keeping the time interval between the stations. As research method, we compared difference of currently operating train's ATO and MCS driving patterns, and concentrated upon the things need to consider in simulation in order to improve the existing pattern of ATO driving pattern's issues with securing the train operation safety. Determining driving pattern minimizing energy consumption by controlling powering within speed limit and controlling switching to coasting at appropriate point considering the track conditions for each section, and determining braking control starting time considering ride comfort and precise stopping is considered to be most important.

Piezoelectric Characteristics of Pb($Mg_{1/3}Nb_{2/3}$)$O_3$+ PZT Ceramics for Substrates of High-Frequency Devices (고주파소자의 기판용 Pb($Mg_{1/3}Nb_{2/3}$)$O_3$+ PZT 세라믹스의 압전특성)

  • 이개명;장낙원;김준한;이두희;박창엽
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 1990.10a
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    • pp.60-64
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    • 1990
  • In this studies, structural, dielectrical piezoelectrical properties and temperature stability of 0.05Pb(Pb($Mg_{1/3}Nb_{2/3}$)$O_3$+ 0.95Pb($Zr_{0.53}Tio_{0.47}$)$O_3$+$\alpha$[wt%] $Cr_2O_3$ piezoelectric ceramics fabricated by the Hot-Press method were investigated. And Poisson ratios of the specimens were measured in order to see that they can be used as the substrates for energy-trapped devices. The specimens of which Poisson ratio was more than 3/1 had the $\alpha$ range 0.3~0.75, and piezoelectric properties were degraded in the range $\alpha$$\geq$0.75, and temperature stability was good in the $\alpha$ range 0.5~0.75. Accordingly, the optimal point of $Cr_2O_3$ additive weight is sure to be in the vicinity of 0.5[wt%].

Analyzing landslide data using Cauchy cluster process (코시 군집 과정을 이용한 산사태 자료 분석)

  • Lee, Kise;Kim, Jeonghwan;Park, No-wook;Lee, Woojoo
    • The Korean Journal of Applied Statistics
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    • v.29 no.2
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    • pp.345-354
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    • 2016
  • Inhomogeneous Poisson process models are widely applied to landslide data to understand how environmental variables systematically influence the risk of landslides. However, those models cannot successfully explain the clustering phenomenon of landslide locations. In order to overcome this limitation, we propose to use a Cauchy cluster process model and show how it improves the goodness of fit to the landslide data in terms of K-function. In addition, a numerical study is performed to select the optimal estimation method for the Cauchy cluster process.

Acoustic holography for an engine radiation noise using equivalent sources (등가음원을 이용한 엔진 방사 소음의 음향 홀로그래피에 대한 연구)

  • Jeon, In-Youl;Ih, Jeong-Guon
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2004.11a
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    • pp.1101-1106
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    • 2004
  • This study presents the reconstruction of sound field radiated from an automotive engine using equivalent sources. Basic concept of the method presented is to replace the engine noise source with elementary sources of multipoles, e.g., monopoles and dipoles. The so-called Helmholtz equation least-squares (HELS) method can reconstruct the sound radiation fields from spherical geometries in a series expansion of spherical Hankel functions and spherical harmonics. In this paper, multi-Point, multipole equivalent sources are employed to reconstruct the sound field radiated from an automotive engine with a fixed rotation speed. To ensure and improve the accuracy of reconstruction, the spatial filters of multipole coefficients and wave-vectors are adopted for suppressing the adverse effect of high-order multipoles. Optimal filter shapes are designed with regularization parameters minimizing the generalized cross validation (GCV) function between actual and reproduced model. After regeneration of field pressures using the proposed method as many as necessary, the vibro-acoustic field of an engine could be reconstructed by using the BEM-based near-field acoustic holography (NAH) technique in a cost-effective manner.

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Photon-counting linear discriminant analysis for face recognition at a distance

  • Yeom, Seok-Won
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.12 no.3
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    • pp.250-255
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    • 2012
  • Face recognition has wide applications in security and surveillance systems as well as in robot vision and machine interfaces. Conventional challenges in face recognition include pose, illumination, and expression, and face recognition at a distance involves additional challenges because long-distance images are often degraded due to poor focusing and motion blurring. This study investigates the effectiveness of applying photon-counting linear discriminant analysis (Pc-LDA) to face recognition in harsh environments. A related technique, Fisher linear discriminant analysis, has been found to be optimal, but it often suffers from the singularity problem because the number of available training images is generally much smaller than the number of pixels. Pc-LDA, on the other hand, realizes the Fisher criterion in high-dimensional space without any dimensionality reduction. Therefore, it provides more invariant solutions to image recognition under distortion and degradation. Two decision rules are employed: one is based on Euclidean distance; the other, on normalized correlation. In the experiments, the asymptotic equivalence of the photon-counting method to the Fisher method is verified with simulated data. Degraded facial images are employed to demonstrate the robustness of the photon-counting classifier in harsh environments. Four types of blurring point spread functions are applied to the test images in order to simulate long-distance acquisition. The results are compared with those of conventional Eigen face and Fisher face methods. The results indicate that Pc-LDA is better than conventional facial recognition techniques.

A Study about Steering Wheel and Pedal Position of Industrial Vehicle by the Various Body Dimensions (다양한 인체치수에 따른 산업차량의 핸들과 폐달 위치에 관한 연구)

  • Choi, Chin-Bong;Koo, Lock-Jo;Jung, Myung-Chul;Park, Peom
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.29 no.4
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    • pp.1-7
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    • 2006
  • This study determined the optimal positions of the movable steering wheel and pedal systems of industrial vehicle by various body dimensions. The position of objects and starting driving posture were measured by Martin-type anthropometer and goniometer. The X, Y and Z axis of movable steering wheel and pedal systems were measured horizon distance from right side to left side, horizon distance from front side to rear side and vertical distance from floor to ceiling. During the experiment in order to exclude learning effectiveness with forklift driving, 27 subjects who had male not experiences in driving a forklift used in the experiment. The relationship between the position of steering wheel and driver's posture with body dimensions was analyzed by using correlation relation and paired comparison t-test based on the measured data. The pedal location in X and Z axises was not related with various body dimensions. Also, the steering wheel was different among the angles of the right elbow and shoulder depending on the various body dimensions.

Interference-Aware Channel Assignment Algorithm in D2D overlaying Cellular Networks

  • Zhao, Liqun;Wang, Hongpeng;Zhong, Xiaoxiong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.4
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    • pp.1884-1903
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    • 2019
  • Device-to-Device (D2D) communications can provide proximity based services in the future 5G cellular networks. It allows short range communication in a limited area with the advantages of power saving, high data rate and traffic offloading. However, D2D communications may reuse the licensed channels with cellular communications and potentially result in critical interferences to nearby devices. To control the interference and improve network throughput in overlaid D2D cellular networks, a novel channel assignment approach is proposed in this paper. First, we characterize the performance of devices by using Poisson point process model. Then, we convert the throughput maximization problem into an optimal spectrum allocation problem with signal to interference plus noise ratio constraints and solve it, i.e., assigning appropriate fractions of channels to cellular communications and D2D communications. In order to mitigate the interferences between D2D devices, a cluster-based multi-channel assignment algorithm is proposed. The algorithm first cluster D2D communications into clusters to reduce the problem scale. After that, a multi-channel assignment algorithm is proposed to mitigate critical interferences among nearby devices for each D2D cluster individually. The simulation analysis conforms that the proposed algorithm can greatly increase system throughput.

A Study on the Characteristics of PCS Using a Solar Cells Generation of Optimal Integrated (최적 일체형 태양광 발전용 전력변환장치 PCS 특성에 관한 연구)

  • Hwang, Lark Hoon
    • Journal of IKEEE
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    • v.23 no.3
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    • pp.1003-1014
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    • 2019
  • In this paper, we modeled the devices used easily in PV system circuits. Simulation tools use PSPICE to enable intuitive electrical circuit simulations. Simulations were also performed on the effects of temperature and spatial radiation that are easy to overlook when using solar cells using modelled libraries. In addition, for full operation of the photovoltaic system, a complete operation system for the DC-DC buck-boost converter and the MPPT(Maximum Power Point Tracking) control system was modeled and simulated to confirm good operation. In order to verify the operation of the simulation, we constructed an actual system with the same conditions in the simulation and experimented. As a result, we proposed a single-phase 3 kW grid-connected solar power converter.

Joint Optimization Algorithm Based on DCA for Three-tier Caching in Heterogeneous Cellular Networks

  • Zhang, Jun;Zhu, Qi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.7
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    • pp.2650-2667
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    • 2021
  • In this paper, we derive the expression of the cache hitting probability with random caching policy and propose the joint optimization algorithm based on difference of convex algorithm (DCA) in the three-tier caching heterogeneous cellular network assisted by macro base stations, helpers and users. Under the constraint of the caching capacity of caching devices, we establish the optimization problem to maximize the cache hitting probability of the network. In order to solve this problem, a convex function is introduced to convert the nonconvex problem to a difference of convex (DC) problem and then we utilize DCA to obtain the optimal caching probability of macro base stations, helpers and users for each content respectively. Simulation results show that when the density of caching devices is relatively low, popular contents should be cached to achieve a good performance. However, when the density of caching devices is relatively high, each content ought to be cached evenly. The algorithm proposed in this paper can achieve the higher cache hitting probability with the same density.