• 제목/요약/키워드: Multi machine power system

검색결과 103건 처리시간 0.025초

다기 전력시스템의 동적안정도 향상을 위해 UPFC 연계시 고유치 분포 해석 (Eigenvalue Distribution Analysis Via UPFC for Enhancing Dynamic Stability Into the Multi-machine Power System)

  • 김종현;정창호;김진오
    • 대한전기학회논문지:전력기술부문A
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    • 제52권9호
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    • pp.487-492
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    • 2003
  • This paper analyzes an eigenvalue distribution and enhancement of the small signal stabiligy when an Unified Power Flow Controller (UPFC) modeling is connected into the multi-machine power system. Recently a lot of attention has been paid to the subject of dynamic stability. It deals with analysis of eigenvalue sensitivities with respect to parameters of UPFC Controller and damping of interarea and local electromechanical oscillation modes using UPFC Controller. It provides an insight and understanding in the basic characteristics of damping effects of UPFC Controller and shows a very stable frequency response via UPFC in test model. The series branch of the UPFC is designed to damp the power oscillation during transients, while the shunt branch aims at maintaining the bus voltage and angle. Comprehensive time-domain simulation studies using PSS/E show that the proposed robost UPFC controller can enhance the small signal stability efficiently in spite of the variations of power system operating conditions.

다기계통의 과도 안정도 향상 (An Improvement of Transient Stability of Multi-machine Power System)

  • 김수남;유석구
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1997년도 하계학술대회 논문집 D
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    • pp.911-913
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    • 1997
  • This paper presents a method for optima] placement of series capacitors in order to improve the power system transient stability, using genetic algorithms. For the formulation, this paper considers the objective function which is the energy margin as the difference between transient energy and critical energy. The most important factor in determining an accurate critical energy is the controlling unstable equilibrium point (UEP). This paper proposes the controlling UEP methods, concurrently with the DFP(Davidon-Fletcher-Powell) method, which enables the enhancement of multi-machine analysis. The proposed method is applied to 6-bus, 7-line, 4-machine model system to show its effectiveness in determining the locations to install series capacitors and the it's size to be installed in system, simultaneously.

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다모선 전력계통에서 댐핑효과를 고려한 에너지 함수의 유도 (Derivation of an Energy Function Reflecting Damping Effects in Multi-Machine Power Systems)

  • 권용준;류헌수;최병곤;문영현
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2001년도 춘계학술대회 논문집 전력기술부문
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    • pp.172-175
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    • 2001
  • This paper presents a new energy function reflecting the damping effect in multi-machine power systems. The Lyapunov direct method provides precise and rigorous theoretical backgrounds for stability analysis of nonlinear systems. Incorporating damping effects into accurate estimates of the domain of attraction, which is a minor but crucial point, has been attempted with long history to yield partial success for single machine systems. In this paper, the damping-reflected energy function presented in the previous work has been generalized for application to multi-machine systems. The generalized energy function is tested for the WSCC 9-bus system to show the semi-negativeness of its time derivative.

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객체지향기법을 적용한 디지탈 컴퓨터 시뮬레이터를 이용한 동기 발전기 시뮬레이션 (Simulation of Synchronous Machines Using Object-Oriented Digital Computer Simulator)

  • 박지호;백영식
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1995년도 추계학술대회 논문집 학회본부
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    • pp.102-105
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    • 1995
  • In power system stability analysis, modelling of the synchronous machine is necessary and vary important. In this paper, a synchronous machine is modeled and simulated by using Object-Oriented method. The mathematical equations describing the dynamic behavior of the synchronous machine is represented by block diagram and Objected-Oriented Digital Computer Simulater(ODCS). The developed method is tested for a one-machine-to-infinite-bus system, which is accurate and very useful for a multi-machine system simulation.

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다기 전력 시스템 동적 안정도 향상을 위한 UPFC 제어기에 관한 연구 (a study on UPFC Controller for enhancing the Multi-machine Power System Dynamic Stability)

  • 김종현;정창호;김진오
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2002년도 하계학술대회 논문집 A
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    • pp.93-95
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    • 2002
  • This paper presents the design of a Unified Power Flow Controller(UPFC) for enhancing the small signal voltage stability in the multi-machine power systems. Recently a lot of attention has been paid to the subject of dynamic stability. The paper deals with analysis of eigenvalue sensitivities with respect to parameters of UPFC Controller. The series branch of the UPFC is designed to damp the power oscillation during transients, while the shunt branch aims at maintaining the bus voltage. Comprehensive time-domain simulation studies using Pss/E show that the proposed robost UPFC controller can enhance the small signal stability efficiently in spite of the variations of power system operating conditions.

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Stabilization of Fixed Speed Wind Generator by using Variable Speed PM Wind Generator in Multi-Machine Power System

  • Rosyadi, Marwan;Takahashi, Rion;Muyeen, S.M.;Tamura, Junji
    • Journal of international Conference on Electrical Machines and Systems
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    • 제2권1호
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    • pp.111-119
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    • 2013
  • This paper present stabilization control of fixed speed wind generator by using variable speed permanent magnet wind generator in a wind farm connected with multi-machine power system. A novel direct-current based d-q vector control technique of back to back converter integrated with Fuzzy Logic Controller for optimal control configuration is proposed, in which both active and reactive powers delivered to a power grid system are controlled effectively. Simulation analyses have been performed using PSCAD/EMTDC. Simulation results show that the proposed control scheme is very effective to enhance the voltage stability of the wind farm during fault condition.

전력선 통신 시스템을 위한 머신러닝 기반의 원신호 예측 기법 (Machine Learning-Based Signal Prediction Method for Power Line Communication Systems)

  • 선영규;심이삭;홍승관;김진영
    • 한국위성정보통신학회논문지
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    • 제12권3호
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    • pp.74-79
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    • 2017
  • 본 논문에서는 머신러닝 알고리즘 중 하나인 다층 퍼셉트론을 기반으로 전력선통신 시스템에서의 수신 신호를 이용하여 송신단에서 전송한 원신호를 예측하는 시스템 모델을 제안한다. 전력망을 활용한 통신 방식을 사용하는 전력선통신 시스템은 일반적인 통신설로를 활용하는 통신 방식에 비해 잡음이 많다. 이 때문에 전력선통신 시스템의 성능이 저하가 되는 문제가 발생한다. 이를 해결하기 위해 본 논문에서 제안하는 통신 시스템 모델을 이용하면 원신호 예측을 통해 잡음의 영향이 최소화되어 전력선통신 시스템의 성능저하를 완화시킨다. 본 논문에서는 제안한 통신 시스템 모델을 백색 잡음 환경에 적용하여 시뮬레이션을 해봄으로써 원신호가 예측 되는지를 입증한다.

다축 스핀들 헤드 기반의 전용 공작기계 설계 (Design of Special-purpose Machine Tool Based on a Multi-spindle Head)

  • 맹희영;박주욱;박홍근
    • 한국생산제조학회지
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    • 제24권6호
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    • pp.675-681
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    • 2015
  • When many holes on a plane are machined simultaneously, the positional precision and machining efficiency are very important. Multi-spindle heads are typical order making products of which the number of shafts and hole positions vary depending on the size or form of the product. For the automatic design of multi-spindle heads, the design modules for power transmission systems for drive, idle, and spindle shafts were developed, and a design technique the determining the optimum position and number of idle shafts according to gear positions was developed. In addition, for the precise determination of the multi-spindle head, the design methods for the guide planes of columns, and feed mechanisms were devised. In addition, the design modules for accurate clamping and automatic transportation mechanisms were developed. Finally, in order to simplify and standardize the design process, the design analysis and simulation verification modules are integrated.

다중 패턴 인식 기법을 이용한 DWT 전력 스펙트럼 밀도 기반 기계 고장 진단 기법 (Machine Fault Diagnosis Method based on DWT Power Spectral Density using Multi Patten Recognition)

  • 강경원;이경민;칼렙;권기룡
    • 한국멀티미디어학회논문지
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    • 제22권11호
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    • pp.1233-1241
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    • 2019
  • The goal of the sound-based mechanical fault diagnosis technique is to automatically find abnormal signals in the machine using acoustic emission. Conventional methods of using mathematical models have been found to be inaccurate due to the complexity of industrial mechanical systems and the existence of nonlinear factors such as noise. Therefore, any fault diagnosis issue can be treated as a pattern recognition problem. We propose an automatic fault diagnosis method using discrete wavelet transform and power spectrum density using multi pattern recognition. First, we perform DWT-based filtering analysis for noise cancelling and effective feature extraction. Next, the power spectral density(PSD) is performed on each subband of the DWT in order to effectively extract feature vectors of sound. Finally, each PSD data is extracted with the features of the classifier using multi pattern recognition. The results show that the proposed method can not only be used effectively to detect faults as well as apply to various automatic diagnosis system based on sound.

면역 알고리즘을 이용한 전력 계통 안정화 장치의 최적 파라미터 선정 (An Optimal Parameter Selection of Power System Stabilizer using Immune Algorithm)

  • 정형환;이정필;정문규;이광우
    • 대한전기학회논문지:전력기술부문A
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    • 제49권9호
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    • pp.433-445
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    • 2000
  • In this paper, optimal tuning problem of power system stabilizer(PSS) using Immune Algorithm(IA) is investigated to improve power system dynamic stability. In proposed method, objective function is represented as antigens. An affinity calculation is embedded within the algorithm for determining the promotion or suppression of antibody. An antibody that most fits the antigen is considered as the solution to PSS tuning problem. The computaton performance by the proposed method is compared with Genetic Algorithm(GA). The porposed PSS using IA has been applied for two sample system, single-machine infinite bus system and multi-machine power system. The performance of the proposed PSS is compared with that of conventional PSS. It is shown that the proposed PSS tuned using immune algorithm is more robust than conventional PSS.

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