• Title/Summary/Keyword: System Modeling

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Parameter Selection Method for Power System Stabilizer of a Power Plant based on Hybrid System Modeling (하이브리드시스템 모델링 기반 발전기 전력시스템 안정화장치 정수선정 기법)

  • Baek, Seung-Mook
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.63 no.7
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    • pp.883-888
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    • 2014
  • The paper describes the parameter tuning of power system stabilizer (PSS) for a power plant based on hybrid system modeling. The existing tuning method based on bode plot and root locus is well applied to keep power system stable. However, due to linearization of power system and an assumption that the parameter ratio of the lead-lag compensator in PSS is fixed, the results cannot guarantee the optimal performances to damp out low-frequency oscillation. Therefore, in this paper, hybrid system modeling, which has a DAIS (differential-algebraic-impusive-switched) structure, is applied to conduct nonlinear modeling for power system and find optimal parameter set of the PSS. The performances of the proposed method are carried out by time domain simulation with a single machine connected to infinite bus (SMIB) system.

Effect of Flipped Learning on System Modeling and Control Course (시스템 모델링 및 제어 수업의 플립드 러닝(Flipped Learning)의 적용 및 그 효과에 관한 연구)

  • Kim, Yeon;Ahn, Changsun
    • Journal of Engineering Education Research
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    • v.19 no.5
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    • pp.72-77
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    • 2016
  • The flipped learning is currently suggested in engineering education, and several universities already have used it. However, research rarely examines whether using such special method in engineering education is effective to improve students' learning achievement. To illuminate this issue, we collected the data of students' achievement for two years from students who took system modeling and control course and analyzed them. Overall, the flipped learning is statistically effective to improve students' learning achievement about system modeling and control.

Fault Simulation and Analysis of Generator (발전기의 사고 시뮬레이션과 분석)

  • Park, Chul-Won;Oh, Yong-Taek
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.62 no.3
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    • pp.151-158
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    • 2013
  • Large generator of power plant is very important. In order to protect large generator from faults, digital protective relay or IED is required. However, all protective relays for generators of the domestic power plant are operated by foreign products. And now, for technological independence from foreign and improvement of import substitution effect, IEDs using domestic technology are being developed. To evaluate performance of developing next-generation power devices, the study of the dynamic characteristics of the power plant, generator system modeling, fault simulation and analysis, should be considered. Specially, To obtain IEEE Standards COMTRADE format for relay operation test, generator system modeling and fault simulation using PSCAD/EMTDC tools must be preceded. Until now, a complete modeling of generator internal windings and fault simulation techniques dose not exist. In this paper, for evaluation performance of relay elements of developing IED, the generator system modeling and various faults simulation using PSCAD/EMTDC tools were performed. And then, the various transient phenomena through obtained relaying signal of developed modeling were analyzed.

The Position Control of DC Motor using the System Modeling based on the DFT (DFT 기반의 시스템 모델링을 이용한 DC Motor의 위치제어)

  • Ahn, Hyun-Jin;Shim, Kwan-Shik;Lim, Young-Cheol;Nam, Hae-Kon;Kim, Gwang-Heon;Kim, Eui-Sun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.61 no.4
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    • pp.542-548
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    • 2012
  • This study presents a new method of system modeling by using the Discrete Fourier Transform for the position control system of DC Motor. And the proposed method is similar to the method of System Identification by analysis of correlation of the measured input-output data. The measured output signals are transformed to the frequency domain using DFT. The Fourier Spectrum of the transformed signals is used for knowing to the feature of having an important effect on the system. And transfer function of the second order system is estimated by the dominant parameter which is computed in the magnitude and the phase of Fourier spectrum of the transformed signals. In addition, the output signal includes the unique feature of system. So, although the basic parameter of the system is unknown for us, the proposed method has an advantage to system modeling. And the controller is easily designed by the estimated transfer function. Thus, in this paper, the proposed method is applied to the system modeling for the position control system of DC Motor and the PD-controller is designed by the estimated model. And the efficiency and the reliability of the proposed method are verified by the experimental result.

Control system modeling of stock management for civil infrastructure

  • Abe, Masato
    • Smart Structures and Systems
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    • v.15 no.3
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    • pp.609-625
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    • 2015
  • Management of infrastructure stock is essential in sustainability of society, and its analysis and optimization are studied in the light of control system modeling in this paper. At the first part of the paper, cost of stock management is analyzed based on macroscopic statistics on infrastructure stock and economical growth. Stock management burden relative to economy is observed to become larger at low economic growth periods in developed economies. Then, control system modeling of stock management is introduced and by augmenting maintenance actions as control input, dynamic behavior of stock is simulated and compared with existing time history statistics. Assuming steady state conditions, applicability of the model to cross sectional data is also demonstrated. The proposed model is enhanced so that both preventive and corrective maintenance can be included as system inputs, i.e., feedforward and feedback control inputs. Optimal management strategy to achieve specified deteriorated stock level with minimal cost, expressed in terms of preventive and corrective maintenance actions, is derived based on estimated parameter values for corrosion of steel bridges. Relative cost effectiveness of preventive maintenance is shown when target deteriorated stock level is lower.

An Survey on the Power System Modeling using a Clustering Algorithm (클러스터링 기법을 적용한 전력시스템 모델링에 관한 사례 조사)

  • Park, Young-Soo;Kim, Jin-Ho
    • Proceedings of the KIEE Conference
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    • pp.410-411
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    • 2006
  • This paper is focused on the survey on the power system modeling using a clustering algorithm. In electricity markets, clustering method is a efficient tool to model the power system. It can be seen that electricity markets can also be classified into several groups which show similar patterns and that the fundamental characteristics of power systems can be widely applicable to other technical problems in power system such as generation scheduling, power flow analysis, short-term load forecasting, and so on. There are several researches on the power system modeling using a clustering algorithm. We specially surveyed their own clustering methods to model the power system.

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Online Dynamic Modeling of Ubiquitous Sensor based Embedded Robot Systems using Kalman Filter Algorithm (칼만 필터 알고리즘을 이용한 유비쿼터스 센서 기반 임베디드 로봇시스템의 온라인 동적 모델링)

  • Cho, Hyun-Cheol;Lee, Jin-Woo;Lee, Young-Jin;Lee, Kwon-Soon
    • Journal of Institute of Control, Robotics and Systems
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    • v.14 no.8
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    • pp.779-784
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    • 2008
  • This paper presents Kalman filter based system modeling algorithm for autonomous robot systems. State of the robot system is measured using embedded sensor systems and then carried to a host computer via ubiquitous sensor network (USN). We settle a linear state-space motion equation for unknown robot system dynamics and modify a popular Kalman filter algorithm in deriving suitable parameter estimation mechanism. To represent time-delay nature due to network media in system modeling, we construct an augmented state-space model which is mainly composed of original state and estimated parameter vectors. We conduct real-time experiment to test our proposed estimation algorithm where speed state of the constructed robot is used as system observation.

A Study on System Modeling, Capacity and Voltage rating to supply HTS Power Transmission Cable to Metropolitan Area (고온초전도 케이블의 대도시 계통적용을 위한 모델링 및 송전용량과 전압계급의 검토)

  • 최상봉;정성환;김대경;김학만;문영환;성기철
    • Progress in Superconductivity and Cryogenics
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    • v.4 no.1
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    • pp.61-65
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    • 2002
  • It becomes difficult and high in cost to construct new ducts and/or tunnels for power cables in metropolitan areas. This paper presents possible applications of an HTS superconducting power cables for transmitting electric power in metropolitan areas. Reflected were its important distinction such as compactness for installation in underground ducts and considerably high efficiency compared with present underground cables. In this paper, system modeling, transmission capacity and voltage class of compact HTS cables which should be applied to existing ducts were reviewed. Based on this, the following items on urban transmission system are examined. (1) A method of constructing a model system to introduce high temperature superconducting cables to metropolitan areas is presented. (2)The maximum outer diameter of HTS cables to be accommodated in exiting ducts is calculated based on the design standards for current cable ducts. (3)The voltage level that can be accommodated by existing ducts is examined.