• Proceedings of the KIEE Conference
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• 1999.07c
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• pp.1321-1323
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• 1999

In this paper, a robust $H_{\infty}$ optimal design problem under a structure-specified PSS is investigated for power systems with parameter variation and disturbance uncertainties. Genetic algorithm is employed for optimization method of PSS parameters. It is shown that the proposed $H_{\infty}$ PSS tuned using genetic algorithm is more robust than conventional PSS.

• International Journal of Control, Automation, and Systems
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• v.6 no.4
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• pp.506-514
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• 2008

This paper presents an intelligent model; named as free model, approach for a closed-loop system identification using input and output data and its application to design a power system stabilizer (PSS). The free model concept is introduced as an alternative intelligent system technique to design a controller for such dynamic system, which is complex, difficult to know, or unknown, with input and output data only, and it does not require the detail knowledge of mathematical model for the system. In the free model, the data used has incremental forms using backward difference operators. The parameters of the free model can be obtained by simultaneous perturbation stochastic approximation (SPSA) method. A linear transformation is introduced to convert the free model into a linear model so that a conventional linear controller design method can be applied. In this paper, the feasibility of the proposed method is demonstrated in a one-machine infinite bus power system. The linear quadratic regulator (LQR) method is applied to the free model to design a PSS for the system, and compared with the conventional PSS. The proposed SPSA-based LQR controller is robust in different loading conditions and system failures such as the outage of a major transmission line or a three phase to ground fault which causes the change of the system structure.

• 제어로봇시스템학회:학술대회논문집
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• 1990.10b
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• pp.1271-1276
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• 1990

The paper describes and presents the experimental results of a fuzzy control scheme applied to an electric power system. The fuzzy control scheme which was recently proposed by T. Hiyama and T. Nakano [1] is implemented on a digital processor with A/D and D/A converters and is tested on our laboratory system. The results show that the proposed fuzzy controller with optimal settings of its parameters gives better performance than the PSS (Power System Stabilizer) optimally adjusted. The problems encountered throughout the experiment are also discussed.

• Proceedings of the KIEE Conference
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• 1997.07c
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• pp.1064-1066
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• 1997

This paper proposes an efficient algorithm of designing PSS and CSS. First, the stabilizer input variable is selected using the participation matrix. Secondly, the stabilizer constants are decided using first order eigenvalue sensitivity. The proposed method was validated to sample power system.

• Proceedings of the KIEE Conference
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• 2000.07a
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• pp.218-220
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• 2000

In this paper, the problem of the design of an intelligent type precompensator is discussed for the performance improvement of a power system stabilizer(PSS). An advantage of the scheme is that an existing PSS can be easily modified in our control structure simply by adding an adaptive neurofuzzy-based precompensator. The overall system has been tested on a simulation model in different operation conditions. Case studies show the proposed scheme can provide the good damping of the power system over the wide range of operating conditions and improve the dynamic performance of the system.

• Proceedings of the KIEE Conference
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• 1995.11a
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• pp.86-88
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• 1995

This paper presents a design technique of the fuzzy PID controller for power system stabilization. PID parameters of the fuzzy PID controller was self-tuned by the fuzzy inference algorithm. The Nosed controller compare with conventional power system stabilizer(PSS) under various of initial value of rotor angle deviation and load condition. The related simulation results show that the Nosed controller was more excellent control characteristics than conventional PSS in transient-state and steady-state response.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.17 no.5
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• pp.111-117
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• 2003

The Taylor model concept is introduced to design a controller with input and output data only. The parameters in Taylor model can be estimated using the input and output data and a controller can be designed based on Taylor model. The accuracy of Taylor model approximation can be improved by increasing the observation window and the order of Taylor model. The LQR method is applied to Taylor model to design power system stabilizers (PSS), and compared with the conventional PSS.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.2
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• pp.175-181
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• 2009

In this paper, it is suggested that the selection method of parameter of Power System Stabilizer(PSS) with robustness in low frequency oscillation for Static VAR Compensator(SVC) using a self tuning fuzzy controller for a synchronous generator excitation and SVC system. The proposed parameter self tuning algorithm of fuzzy controller is based on the steepest decent method using two direction vectors which make error between inference values of fuzzy controller and output values of the specially selected PSS reduce steepestly. Using input-output data pair obtained from PSS, the parameters in antecedent part and in consequent part of fuzzy inference rules are learned and tuned automatically using the proposed steepest decent method.

• Proceedings of the KIEE Conference
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• 2005.11b
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• pp.240-242
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• 2005

전력계통안정화장치(PSS)는 전력안정화를 위하여 발전기의 여자기에 보조신호를 주입하여 전력계통의 진동문제를 해결할 수 있는 장치이다. 본 논문은 기존의 비실시간 툴 (PSS/E, EMTDC/PCAD.,)을 사용한 경우와 달리 실시간 시뮬레이션 툴을 사용하여 전력계통안정화장치(Power System Stabilizer : PSS)의 영향 및 효과를 검토하였다. 이에 사용된 실시간 툴은 RTDS의 PC 버전인 RSCAD를 이용하여 분석하였다. 모의에 사용된 선로는 3상 3회선 송전선로이며 무한모선에 연결하였다. 사고는 3회선 중의 1회선 중앙에 3상 지락 상정사고를 발생시켜 선로 차단 및 재투입을 고려하여 실시하였다. 본 연구에서 RSCAD에 대한 기존의 전통적인 형태인 IEEE의 PSS1A type과 보다 정교한 이중구조를 가진 PSS2A type을 사용하여 검토하였다. IEEE의 PSS1A type은 각속도 ${\omega}$를 측정하여 사용하고 PSS2A type은 각속도 ${\omega}$와 유효전력 P를 측정하여 사용할 수 있는 형태이다. 그리고 실시간 시뮬레이션 결과는 각속도 ${\omega}$와 유효전력 P를 측정하여 PSS의 입력에 주입하고 이에 대한 효과를 비교하였다.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.49 no.4
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• pp.165-174
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• 2000

This paper presents the application of H$\infty$ control synthesis using LMI optimization method to power system stabilizer(PSS) design. Since power system is usually operated under circumstance of unmeasurable uncertainties and external disturbances, the improvement of small signal stability becomes one of the most important issue for securing system stability and preventing low frequency oscillation phenomena. The LMI optimized H$\infty$ PSS provides robust performance and guarantees the internal stability under these operating conditions. The global optimal H$\infty$ norm is found using LMI convex optimization method which is more systematic than standard two Riccati solution method. The design results are simulated for a case study. We verified that the LMI method shows the best performance characteristic smong standard Riccati method and conventional lead/lag method.