• Title/Summary/Keyword: Optimum Algorithm

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The Study of 3-Phase Bi-Directional DC to AC Inverter for the Bi-Model PV PCS (자립형 태양광 발전 시스템을 위한 3상 양방향 DC-AC 인버터 연구)

  • Yang, Seung-Dae;Jung, Seung-Hwan;Choi, Ju-Yeop;Choy, Ick;Lee, Young-Kwon
    • 한국태양에너지학회:학술대회논문집
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    • 2012.03a
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    • pp.319-324
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    • 2012
  • This paper presents the study of 3-Phase bi-directional DC to AC inverter with unity power factor. 3-Phase bi-directional DC to AC inverter is important for the bi-modal PV PCS with an energy storage system. Both Inverting and converting are needed to connect between the grid side and boost converting side to charge and discharge the energy storage system. The paper proposes the appropriate circuit topology and proper control system for the bi-directional inverter. It also proposes the method of selecting the optimum control method considering system stability. PSIM simulation is used to validate the proposed algorithm.

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An Experimental Study on the Performance Characteristics of a Heat Pump System in the Heating Operation Mode with the Hot Gas Bypass (열펌프의 난방운전시 핫가스 바이패스에 따른 성능 특성에 관한 실험적 연구)

  • Ahn, Jae-Hwan;Joo, Young-Ju;Cho, Il-Yong;Kang, Hoon;Kim, Yong-Chan;Choi, Jong-Min
    • Proceedings of the SAREK Conference
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    • 2009.06a
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    • pp.539-543
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    • 2009
  • When the suction pressure of compressor decreases under its limit, the compression ratio is increased causing the malfunctions of compressor. As the method to decrease the compression ratio, hot gas bypass system is usually adopted in heat pump system. In the hot gas bypass system, the discharged gas from the compressor is bypassed into the compressor suction, which causes the increase of suction pressure and the decrease of compression ratio. In this study, the characteristics and performances of the hot gas bypass system in heat pump was investigated experimentally with a variation of the bypass flow rate ratio. With the increase of the bypass rate ratio, the compressor suction pressure was increased, even though the total capacity and COP was decreased. From the analysis of the experimental results, the optimum pressure control algorithm was suggested in this study.

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Implementation of Wavelet-based detector of Microcalcifications in Mammogram (맘모그램에서 마이크로캘시피케이션을 검출하기 위한 웨이블릿 검출기의 구현)

  • Han, Hui-Il
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.38 no.4
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    • pp.325-334
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    • 2001
  • It is shown that the multiscale prewhitening matched filter for detecting Gaussian objects in Markov noise can be implemented by the undecimated wavelet transform with a biorthogonal spline wavelet. If the object to be detected is Gaussian shaped and its scale coincides with one of those computed by the wavelet transform, and if the background noise is truly Markov, then optimum detection is realized by thresholding the appropriate details image. Our detection algorithm is applied to the digitized mammograms for detecting microcalcifications. However, microcalcifications are not exactly Gaussian shaped and its background noise may not be Markov. In order to campensate for these discrepancy, Hotelling observer is employed, which is applied to feature vectors comprised of 3-octave wavelet coefficients.

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A Study on The PWM Control of Resonant Inverters (공진형 인버터의 PWM 제어에 관한 연구)

  • Shin, Jae-Hwa;Cho, Kyu-Min;Kim, Young-Seok
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.38 no.1
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    • pp.53-60
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    • 2001
  • In many applications of power electronics, high frequency resonant inverters are used, and the PAM(Pulse Amplitude Modulation), PFM(Pulse Frequency Modulation) or PWM(Pulse Width Modulation) techniques are used to control the output power of resonant inverters. And the resonant inverters have to control the output frequency for the reliable operation under the variable load conditions. In this paper, a new switching scheme is proposed as a PWM control of resonant inverters. With the proposed method, it can be obtained that optimum resonant frequency and unity output displacement factor under the variable resonant frequency adaptively. The detail algorithm or the proposed PWM switching scheme and its output characteristics are discussed. And the veridity of the proposed method is confirmed with the experimental results.

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Optimal design of PID controllers including Smith predictor structure by the model identification (모델 동정에 의한 Smith predictor 구조를 갖는 최적의 PID 제어기 설계)

  • Cho, Joon-Ho;Hwang, Hyung-Soo
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.44 no.1
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    • pp.25-32
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    • 2007
  • In this paper, a new method for first order plus dead time(FOPDT) model identification is proposed, which can identity multiple points on a process step response in terms of classification of time response. The process input and output to the test are decomposed into the transient part and the steady-state part. The steady-state part express one FOPDT model and the transient part express variously FOPDT model using least square estimation method. The optimum parameter tuning algorithm for PID controller of the Smith Predictor is proposed through ITAE as performance index. The Simulation results show the validity and improvement of performance for various processes.

Blind Signal Subspace-Based Channel Identification for DS/CDMA DM Downlink (DS/CDMA DMB 하향 링크에서의 신호 공간에 기초한 블라인드 채널 추정)

  • Yang Wan-Chul;Lee Byung-Seub
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.15 no.9
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    • pp.848-855
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    • 2004
  • In this paper, we propose a new channel identification technique for long code DS/CDMA DMB down link system which estimate the channel response based on the signal space vector only, unlike the most conventional subspace method relying on the orthogonal property of noise space vectors to the signal space vector. Because of this property of the proposed method, it is optimum and practical in manipulation of the covariance matrix to be analyzed. In the paper, we derive the mathematical expression necessary to clarify the proposed method and show the relevant simulation and numerical results to verify the validity of the proposed algorithm.

Efficient QEGT Codebook Searching Technique for a MISO Beamforming System (MISO 빔포밍 시스템에서 효율적인 QEGT 코드북 탐색 기법)

  • Park, Noe-Yoon;Kim, Young-Ju
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.20 no.11
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    • pp.1209-1216
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    • 2009
  • This paper presents an efficient Quantized Equal Gain Transmission(QEGT) codebook index searching technique for MISO beamforming system in a Rayleigh flat fading channel. The searching time for the optimum weight vector among the codebook vectors increases exponentially when the codebook size increases linearly, although the bit error rate decreases. So, newly defined simple metric is proposed for fast searching, which determines a few candidates. Then the conventional method combined with accurate search algorithm selects the optimal index. This strategy significantly reduces the overall search time, while maintaining almost the same bit error rate performance. Furthermore, as the codebook size increases, the search time is considerably decreased compared to that of the conventional approach.

The Development of an Operating System for Load-following Real-time Transformer Loss Minimization and Economic Analyses on its' Test Operation (부하 추종형 실시간 변압기 손실감소운전시스템 개발과 시범운영 경제성 분석)

  • Lee, Ok-Bae;Ahn, Jae-Kyoung
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.61 no.6
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    • pp.797-803
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    • 2012
  • In this paper, for minimizing the real-time operating load losses of the power transformer, a SCADA optimum operating system was developed, and the economic analyses on the test operation were performed. Transformer loss DB which reflects the economic integration operation criteria was constructed by referring the transformer manufacturer's loss data(iron loss, copper loss). Based on the loss DB, each substation transformer real-time loss was calculated according to the size of the transformer loads, and if integration or separation transformer operating conditions minimizing the loss are met, then a window pops-up and the dispatcher performs the substation equipments operation according to the procedure provided by this system. With the existing SCADA main program, the relation database of the substation facilities and integration/separation operation algorithm were developed and applied to Auto MTR Processor and pconn Processor Task module. Seven stations test data for seven months were analyzed for the economic analyses, and the results showed that Cost-Benefit ratio was 2.64, and IRR(Internal Rate of Return), 36%, which asserted the economic justification of the proposed system.

Design and Scrutiny of Maiden PSS for Alleviation of Power System Oscillations Using RCGA and PSO Techniques

  • Falehi, Ali Darvish
    • Journal of Electrical Engineering and Technology
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    • v.8 no.3
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    • pp.402-410
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    • 2013
  • In this paper, a novel and robust Power System Stabilizer (PSS) is proposed as an effective approach to improve stability in electric power systems. The dynamic performance of proposed PSS has been thoroughly compared with Conventional PSS (CPSS). Both the Real Coded Genetic Algorithm (RCGA) and Particle Swarm Optimization (PSO) techniques are applied to optimum tune the parameter of both the proposed PSS and CPSS in order to damp-out power system oscillations. Due to the high sufficiency of both the RCGA and PSO techniques to solve the very non-linear objective, they have been employed for solution of the optimization problem. In order to verify the dynamic performance of these devices, different conditions of disturbance are taken into account in Single Machine Infinite Bus (SMIB) power system. Moreover, to ensure the robustness of proposed PSS in damping the power system multi-mode oscillations, a Multi Machine (MM) power system under various disturbances are considered as a test system. The results of nonlinear simulation strongly suggest that the proposed PSS significantly enhances the power system dynamic stability in both of the SMIB and MM power system as compared to CPSS.

Compressive strength prediction of limestone filler concrete using artificial neural networks

  • Ayat, Hocine;Kellouche, Yasmina;Ghrici, Mohamed;Boukhatem, Bakhta
    • Advances in Computational Design
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    • v.3 no.3
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    • pp.289-302
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    • 2018
  • The use of optimum content of supplementary cementing materials (SCMs) such as limestone filler (LF) to blend with Portland cement has been resulted in many environmental and technical advantages, such as increase in physical properties, enhancement of sustainability in concrete industry and reducing $CO_2$ emission are well known. Artificial neural networks (ANNs) have been already applied in civil engineering to solve a wide variety of problems such as the prediction of concrete compressive strength. The feed forward back propagation (FFBP) algorithm and Tan-sigmoid transfer function were used for the ANNs training in this study. The training, testing and validation of data during the backpropagation training process yielded good correlations exceeding 97%. A parametric study was conducted to study the sensitivity of the developed model to certain essential parameters affecting the compressive strength of concrete. The effects and benefits of limestone filler on hardened properties of the concrete such as compressive strength were well established endorsing previous results in the literature. The results of this study revealed that the proposed ANNs model showed a high performance as a feasible and highly efficient tool for simulating the LF concrete compressive strength prediction.