• Proceedings of the KIEE Conference
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• 2005.07a
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• pp.492-494
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• 2005

In this paper, RCF analysis method which is very powerful to analyze non-continuous systems with switching elements is applied to small signal stability problems. As an effect of switching operations, the eigenvalues of system can be changed and newly unstable oscillation modes may be occurred. Also, changing the ON/OFF time intervals of switching equipments may make the system stable or unstable. As an illustrating example, the oscillation modes of system with different switching time intervals are computed by RCF analysis method.

• Proceedings of the KIEE Conference
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• 2006.07a
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• pp.3-4
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• 2006

본 논문에서는 계통의 불확실성을 고려한 확률론적인 방법으로 전력계통의 신뢰도를 평가한다. 발전기 3 state modeling 및 부하의 정규분포 곡선으로 확률론 신뢰도 평가 모델을 가정하였다. 그리하여 Adequacy 및 계통의 전압 및 송전선제약 조건 외에도, 소신호 안정도 항목을 추가하여 보다 동적인 측면에서의 신뢰도 평가가 이루어지도록 하였다. 이러한 평가 방법의 결과에 의하여 각 평가 항목간의 비율을 비교하였으며, 이를 통한 PSS의 설치 위치 선정의 근거를 마련하였다. 모의 방법은 Monte Carlo Simulation방법을 사용하였으며, WSCC 3기 9모선과 New England 10기 39모선을 모의계통으로 하였다.

• Proceedings of the KIEE Conference
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• 2006.07a
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• pp.16-17
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• 2006

In this paper, RCF analysis method which is very powerful to analyze non-continuous systems with switching elements is applied to small signal stability problems. As an effect of switching operations, the eigenvalues of system can be changed and newly unstable oscillation modes may be occurred. Also, changing firing angles of switching equipments may make the system stable or unstable. As an illustrating example, the oscillation modes of the system with different firing angles are computed by the RCF analysis method.

• Proceedings of the KIEE Conference
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• 2005.07a
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• pp.393-395
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• 2005

This paper describes implicitly restarted Arnoldi method (IRAM), which is a technique for combining the implicitly shifted QR mechanism with a k-step Arnoldi factorization to obtain a truncated form of the implicitly shifted QR-iteration. IRAM avoids numerical difficulties and storage problems normally associated with Arnoldi. This paper deals with the basic algorithms of IRAM as an intial research phase for developing the full featured eigenvalue analysis program for large power system up to 30,000 states.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.281-286
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• 2005

The main objective of the research work presented in this article is to present a systematic approach for designing a multilayer feed-forward artificial neural network based self-tuning power system stabilizer (ST-ANNPSS). In order to suggest an approach for selecting the number of neurons in the hidden layer, the dynamic performance of the system with ST-ANNPSS is studied and hence compared with that of conventional PSS. Finally the effect of variation of loading condition and equivalent reactance, Xe is investigated on dynamic performance of the system with ST-ANNPSS. Investigations reveal that ANN with one hidden layer comprising nine neurons is adequate and sufficient for ST-ANNPSS. Studies show that the dynamic performance of STANNPSS is quite superior to that of conventional PSS for the loading condition different from the nominal. Also it is revealed that the performance of ST-ANNPSS is quite robust to a wide variation in loading condition.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.51 no.12
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• pp.611-623
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• 2002

This paper introduce the real time digital simulator which is located in Korea Electric Power Research Institute. This paper also describes the methodology for the performance test of the PSS using KEPS. This test is to get a high degree of the confidence of the developed PSS before it is installed into the real power system. This has been performed in the form of closed-loop tests in which Simulator and PSS are connected and signals come and back interactively. Many tests have successfully done using KEPS which consists of 26 RTDS racks, under the large-scale power system. The simulated reduced KEPCO power system contains 88 generators and 295 buses. Through the AVR step, three phase fault and active power variation test, the effectiveness of developed PSS has been proved. This paper also presents the overview of KEPS and hardware of protype PSS.

• Proceedings of the KIEE Conference
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• 2002.07a
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• pp.31-34
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• 2002

It studied modelling about employing analog PSS in domestic 500MW grade standard thermoelectric power plant in this paper. Modeling and parameters were verified by simulation of PSS response characteristics measured in AVR step examination and using power plant system model parameters decided by generator characteristics test. Through this PSS modelling research, contributed in domestic electrical power system small signal stability as that do modelling to be possible exact analysis of power system.

• Proceedings of the KIEE Conference
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• 1999.07c
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• pp.1305-1307
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• 1999

dynamic analysis of power systems is required the information for building a transfer function of has the heavy calculation of high order matrices. Since generally the order of the state matrix is over the limit of commercial analysis programs such as MASS(Multi-Area Small Signal Stability) Program, it is necessary to develop dynamic equivalent systems with preserving essential properties of the original system. In this work, a procedurd to find an optimal location of FACTS controllers is presented. The procedure was applied to KEPCO system in the year of 2000. The results on a test system demonstrate the accuracy of dynamic equivalencing and verify the effect of FACTS controllers.

• Journal of the Korean Institute of Telematics and Electronics A
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• v.33A no.6
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• pp.72-80
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• 1996

This paper presetns the development of a SSPA operating at KU-band(14~14.5 GHz) in order of replace TWTA used in the terrestria transponder of a satellite communication. The driving stage of SSPA uses internally matched 2W, 4W, 8W FET and the power stage is coupled with two internally matched 8W FET by branch-line cominer. The SSPA is fabricated with oth the RF circuit and the bias circuitry operating temperature compensation, regulation and sequence on aluminum housing. The SSPA testing resutls implemented in this way show 24.8$\pm$1dB small-signal gain, 41dBm P1dB power, a typical two tone C/IM3, -33dBc with single carrier backed off 6dB from p1dB, and gain stability over temeprature (-30~50)$\pm$1dB.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.237-238
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• 2008

In this paper, the RCF method is applied to analyze small signal stability of power systems including thyristor controlled FACTS equipments such as TCSC. The eigenvalue sensitivity analysis algorithm in discrete systems by the RCF method are presented and applied to the power system including TCSC. The RCF analysis method enabled to precisely calculate eigenvalue sensitivity coefficients of dominant oscillation modes after periodic switching operations. These simulation results are very different from those of the conventional continuous system analysis method such as the state space equation method.