• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.334-337
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• 2005

This paper describes the implementation of DCS communication network that provides high bandwidth and reliability. The network for DCS in this paper adopts the Reflective Memory (RM) architecture and Fast Ethernet physical media that have 100Mbps bandwidth. Also, this network uses Ring Enhancement Device (RED) which was invented to reduce the time delay of each node. The DCS network that is introduced in this paper is named as ERCNet(Ethernet based Real-time Control Network). This paper describes the architecture and working algorithms of ERCNet and performs numerical analysis. In addition, the performance of ERCNet is evaluated by experiment using the developed ERCNet network.

• Proceedings of the KIEE Conference
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• 2008.11a
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• pp.47-49
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• 2008

2005년 IEC61850 국제표준규약이 제정된 이후, IEC61850 기반의 변전소 자동화에 대한 관심과 연구가 급증하고 있다. 현재 해외 선진사들에 의한 다양한 제품들이 출시되고 있으며 유럽시장을 중심으로 적용사례가 확대되고 있는 추세이다. 그러나, 변전소 자동화의 새로운 패러다임으로써 IEC61850이 채택됨에 따라 기존에 설치되어 운영중인 시스템과의 호환성에 문제가 발생하게 된다. 이 논문에서는 IEC6180 기반의 변전소 자동화 시스템 구축을 위한 게이트웨이 시스템을 설계하고 구현하였다. 제안된 시스템은 서로 상이한 프로토콜을 사용하는 변전소 내부의 IEC61850 호환 IED와 원격 제어센터의 SCADA 시스템 간 계측/상태/제어 데이터의 교환을 지원한다.

• Proceedings of the KIEE Conference
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• 2005.07a
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• pp.127-129
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• 2005

Construction of wind power plant is increasing rapidly because Jeju island is known as the most suitable place for wind power plant. Rut wind power plant is difficult electric power control and it has a rapid electric power fluctuation. Such a problem has a bad influence on electric power network in small electric network like Jeju. Therefore, we forecast the amount of wind power plant construction by weather information and the rate of utilization for existing facility. We investigate the contribution degree for electric Power demand, economic effect, the case of power network influence. So we forecast influence of wind power plant for Jeju power network's operation in the near future.

• Proceedings of the KIEE Conference
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• 2006.07a
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• pp.472-473
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• 2006

배전계통 원격감시제어 기능을 수행하는 배전자동화 주장치 운영S/W는 정확한 개폐기 제어를 위해서 사용자에게 정보를 쉽고 빠르고 명확하게 전달해야 함을 기본으로 하고 있다 1998년 처음 도입된 소규모 배전자동화 시스템은 해가 거듭될수록 현장의 다양한 요구가 발생하게 되었고 이를 해소하고자 S/W 성능개선을 추진하게 되었다. 본 논문에서는 S/W개선내용을 GUI변경을 통한 편의성향상과 중요현황 및 통계화면 추가로 조작의 신뢰성향상, 조작 전 재확인절차 추가 및 데이터 손실방지 등의 안정성을 향상시켜 신속한 고장파악 및 정확한 고장복구로 안정된 전력공급에 기여할 수 있을 것으로 사료된다.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.1875-1876
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• 2008

네트웍 모델러(Network Modeler)는 EMS 시스템에서 전력 네크워크 토폴로지(Network Topology)를 입력하기 위한 도구이다. 네트워크 모델러는 토폴로지 정보를 입력하여 모델을 생성하고 변경하는 일과 네트워크 다이어그램을 생성하는 일 등을 처리한다. 모델을 생성하기 위해 계통요소를 나타내는 심벌을 마우스로 움직여 화면에 배치하고 각 요소의 파라미터를 설정하며 작성된 전력계통 구성이 올바른지 검사하는 기능도 수행한다. 네트워크 모델러는 주로 EMS에서 사용되었고 SCADA 시스템에서는 사용되지 않았으나, 최근 개발되고 있는 SCADA 시스템은 네트워크 모델러를 함께 포함하여 시스템의 기능을 향상시키고 있다. 그러나 기존의 Network Modeler가 EMS 시스템 개발 벤더에 따라 다른 데이터 구조를 가지고 있어서 데이터의 상호 운용성이 떨어지고, 입력방법에 있어서도 자동화 및 자료 연계가 미흡하여 관리에 많은 시간이 소요되는 단점을 가지고 있다. 본 논문에서는 CIM 기반으로 정의된 데이터 모델을 사용자가 그래픽 다이어그램을 이용하여 쉽게 네트워크 토폴로지를 정의하도록 하고, 입력정보의 상호 운영성이 향상된 CIM 기반 Network Modeler를 설계한 내용을 설명하도록 한다.

• Journal of Mechanical Science and Technology
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• v.16 no.12
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• pp.1633-1642
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• 2002

Uninterrupted power supply has become indispensable during the maintenance task of active electric power lines as a result of today's highly information-oriented society and increasing demand of electric utilities. The maintenance task has the risk of electric shock and the danger of falling from high place. Therefore it is necessary to realize an autonomous robot system using electro-hydraulic manipulator because hydraulic manipulators have the advantage of electric insulation. Meanwhile it is relatively difficult to realize autonomous assembly tasks particularly in the case of manipulating flexible objects such as electric lines. In this report, a discrete event control system is introduced for automatic assembly task of electric lines into sleeves as one of the typical task of active electric power lines. In the implementation of a discrete event control system, LVQNN (linear vector quantization neural network) is applied to the insertion task of electric lines to sleeves. In order to apply these proposed control system to the unknown environment, virtual learning data for LVQNN is generated by fuzzy inference. By the experimental results of two types of electric lines and sleeves, these proposed discrete event control and neural network learning algorithm are confirmed very effective to the insertion tasks of electric lines to sleeves as a typical task of active electric power maintenance tasks.

• Journal of Institute of Control, Robotics and Systems
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• v.7 no.1
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• pp.1205-1210
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• 2001

This paper describes a methodology using neural network to compensate the nonlinear error of deriving speed for electric differential system included in electric vehicle. An electric differential system which drives each of the left and right wheels of the electric vehicle independently. The electric vehicle driven by induction motor has the nonlinear speed error which depends on a steering angle and speed command. When a vehicle drives along a curved road lane, the speed unblance of inner and outer wheels makes vehicles vibration and speed reduction. To compensate for the speed error, we collected the speed data of the inner wheel and outer wheel in various speed and the steering angle data by using an manufactured electric vehicle and the real system. According to the analysis of the acquisited data, we designed the differential speed control system based on a speed error compensator using neural network.

• Proceedings of the KIEE Conference
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• 2006.07a
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• pp.165-166
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• 2006

Recently, after Wide Area Outage of the North-Eastern United States occurred, many countries started to be concerned about WAMS (Wide Area Monitoring System), and Korean power system also experienced Wide Area outage according to typhoon Mae-Mi, and Haenam-Jeju HVDC line fault. Since it is too difficult to detect a symptom based on SCADA or EMS, a defense system of electric power infrastructure has required. In this research, the designed and developed system processes the time synchronized real time power system information based on GPS and shows the 2D/3D monitoring viewer using the phasor data and the results of three algorithms.

• Proceedings of the KIEE Conference
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• 2004.07d
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• pp.2461-2464
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• 2004

Recently, research about optimizing network of IBS(Intelligent Building System) is in progress activity. When we install existent building control network using general PC, system's efficiency drops. Because server that is charged with the task process is not and is expensive. Also, CapEx(Capital Expenditure) rises because of setting up the network equipment to integrate different protocol in building system. In this paper, we suggests the embedded web server that has various network structure.

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.4
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• pp.553-558
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• 2011

The smart grid is an intelligent electric power network in which a digital communication network is integrated into the existing electric power system. This enhances the efficiency of the electric use by supplying and controlling the electric power through the two-way communication between the utility and the electric customer. In this paper, to support the smart grid, a computer-based solution which collects the three-phase electric power data based on the LPT Communication is designed, and then its prototype is made.