• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.4
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• pp.625-632
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• 2022

Gas turbine generators in load-following operation in the domestic power system play a major role in maintaining the rated frequency, but often have poor frequency control. Therefore, after examining the control characteristics of the governor, which is a gas turbine speed control device, and analyzing the failure types, countermeasures were suggested for each case. In addition, it was confirmed through the governor response test that the gas turbine helps in frequency recovery depending on the speed of fuel control, but also acts as a factor impeding stable operation, such as rapid fluctuations in combustion chamber temperature and combustion vibration. Therefore, in order to maintain stable power quality, there was a need for thorough facility management as well as research on the governor control method in which the traditional PID control method and the machine learning algorithm, a core field of the 4th industry, were fused.

• Journal of the Korean Society of Propulsion Engineers
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• v.22 no.5
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• pp.13-21
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• 2018

Technology trends of onboard and ground health management system software for aircraft gas turbine engines are surveyed. The software has changed from ground based software for fault detection and identification to a model based health identification technology for onboard software. This advanced algorithm is currently under development in a technically advanced country while domestic research is on the birth stage. This paper suggested that the optimal development plan of the software considering current technology state.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1628-1629
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• 2007

1990년대에 이 전 건설된 발전소 및 기타 플랜트 자동제어시스템으로 거의 아날로그 연산방식 시스템이 적용되었다. 이제 장기간 사용으로 인한 수명감소와 고장률이 증가하는 추세에 있으므로, 기존 아날로그 제어시스템을 디지털 제어시스템으로 개조하는 사업이 추진되고 있다. 아날로그 제어시스템에 설정되어 있는 주요 파라미터들은 플랜트의 운전특성을 장기간 반영하여 이루어진 것이므로, 개조에 사용될 새로운 디지털제어시스템의 초기 파라미터 설정에 그대로 적용하면 개조후 시운전이 원활하고 튜닝 기간을 단축할 수 있다. 본 논문에서는 현재 진행하고 있는 급수펌프 구동터빈 제어시스템 개조 프로젝트에서 제어 파라미터를 구하는 과정 및 디지털 시스템에 구현할 내용들을 제시하였다.

• Journal of Applied Reliability
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• v.14 no.1
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• pp.37-43
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• 2014

This paper deals with a design of observer based fault detection filter for a boiler-turbine control system. The goal is to present a method for rapid sensor fault detection in order to enhance the reliability of boiler-turbine operation in the thermal power plant. Our fault detection filter can be designed via solutions of linear matrix inequalities. In order to demonstrate the efficacy of our design method, numerical simulations are provided.

• Proceedings of the KIPE Conference
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• 2000.07a
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• pp.241-244
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• 2000

한전은 국가경제 성장에 따라 늘어나는 발전설비에 대한 운영효율의 향상과 고장발생의 예방 사고시 운전원들의 운전능력 배양 등을 목적으로 운영요원 훈련용 시뮬레이터를 국산화 개발하여 운영하고 있다 훈련용 시뮬레이터를 구성하는 시스템들 중 발전소 안전계통과 발전소 감시계통을 시뮬레이션하는 PPC(Plant Processing Computer) 시스템이 있다 VMS(Vibration Monitoring System) 는 PPC의 여러계통들 중 하나로서 발전소의 터빈 발전기 펌프 등의 진동을 감시하는 시스템이다 본 논문에서는 시뮬레이터의 VMS를 개발하기 위해 적용한 시뮬레이tus 모델 알고리즘 그리고 모델에서 계산된 진동값을 PC의 모니터에 나타내는 Display 시스템등에 대해 기술하고자한다.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.466_467
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• 2009

본 논문에서는 일체형 원자로인 REX-10과 가스터빈발전기를 전원으로 이용하는 지역에너지시스템을 모델링 하였다. 또한 모델링된 지역에너지시스템 계통을 이용 한국전력공사 전력계통과 연계운전 중 지역에너지시스템 내부배전선 및 부하에서 발생할 수 있는 사고를 모의하고 결과를 분석하여 지역에너지시스템 전력계통 고장시 보호 방안을 제시하였다.

• Proceedings of the KIEE Conference
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• 1992.07a
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• pp.74-77
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• 1992

During normal operation of 100% FP Reactor power(TBN/GEN output:690MWe), several times of acceleration phenomena has been generated on the turbine generator-of Wolsong #1 NPP. It was concluded that the acceleration occured following big sudden drop of the terminal voltage of main generator due to AVR potentiometer fault. The cause of turbine acceleration is reviewed with a several records and demonstrated by computer simulation, also presents a countermeasure of its trouble.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.1
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• pp.96-101
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• 2014

Wind power is the fastest growing renewable energy source in the world and it is expected to remain so for some times. Recently, there is a constant need for the reduction of Operational and Maintenance(O&M) costs of Wind Energy Conversion Systems(WECS). The most efficient way of reducing O&M cost would be to utilize CMS(Condition Monitoring System) of WECS. CMS allows for early detection of the deterioration of the wind generator's health, facilitating a proactive action, minimizing downtime, and finally maximizing productivity. There are two types of faults such as mass unbalance and aerodynamic asymmetry which are related to wind turbine's rotor faults. Generally, these faults tend to generate various vibrations. Therefore, in this work a simple fault detection algorithm based on spectrums of vibration signals and simple max-min decision logic is proposed. Furthermore, in order to verify its feasibility, several simulation studies are carried out by using GH-bladed software.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.5
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• pp.2388-2392
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• 2013

Wind generation systems are very different in nature from conventional generation systems. Therefore it is necessary to research dynamic characteristics of wind generation systems connected to a power system. The stability analysis of wind turbine generator is an important issue in the operation of the power system. The result of angular stability of the power system that consists of only synchronous generators is different from that of the power system including wind turbine generators. This is due to the fact that generators connected to wind turbines are generally induction generators. The angular stability assessing synchronization of generators is determined by its corresponding critical clearing time(CCT). Wind turbine models for the analysis of power system are varied and difficult to use, but now these are standardized into four types. In this paper, the analysis of the CCT of the power system connected to wind farm considering the location and capacity is performed by using DFIG(Doubly-Fed induction Generator) wind turbine built-in type3 model in PSS/E-32.

• KEPCO Journal on Electric Power and Energy
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• v.4 no.2
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• pp.101-105
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• 2018

In this paper, the kernel regression model is applied for the case study of gas turbine abnormal state analysis. In addition to vibration analysis at the remote site, the kernel regression model technique can is useful for analyzing abnormal state of rotor vibration signals of gas turbine in power plant. In monitoring based on data-driven techniques correlated measurements, the fault free training data of shaft vibration obtained during normal operations of gas turbine are used to develop a empirical model based on auto-associative kernel regression. This data-driven model can be used to predict virtual measurements, which are compared with real-time data, generating residuals. Any faults in the system may cause statistically abnormal changes in these residuals and could be detected. As the result, the kernel regression model provides information that can distinguish anomalies such as sensor failure in a shaft vibration signal.