• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.581-582
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• 2015

Energy management system (EMS)는 전력시스템에서 운영자에 의해 발전과 송전의 성능을 감시, 제어, 그리고 성능 최적화를 위하여 운영하는 시스템이다. 본 연구에서는 차세대 EMS(Next Generation Energy Management System : NG-EMS)에서 클라이언트 운영 시스템의 자동 동기 방법을 제안한다. 인트라넷 네트워크 망에서 클라이언트 운영 시스템의 효율적인 유지 보수를 위해 운영 소프트웨어 패치 및 엔지니어링을 통해 만들어진 그래픽 화면을 여러 클라이언트에 자동 동기 및 갱신 기능을 특징으로 한다. 또한 자동 동기 빌더를 이용하여 클라이언트에 동기 할 항목을 패키징하는 기능을 포함한다. 본 연구의 구성에 의해 자동 동기 서버 측에서 클라이언트의 동기 및 갱신주기를 효율적으로 관리하다. 클라이언트가 메인으로 접속하여 자동동기 상태를 체크하는 서버에 문제가 발생했을 경우 다중 동기 서버 형태로 운영하여 만일에 발생할 문제에 효율적으로 대처가 가능하다.

• KEPCO Journal on Electric Power and Energy
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• v.6 no.3
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• pp.279-284
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• 2020

This paper presents the conceptual design of a cooperative control with Energy Management System (EMS) and Distribution Management System (DMS). This control enables insufficient reactive power reserve in a power transmission system to be supplemented by surplus reactive power in a power distribution system on the basis of the amount of the needed reactive power reserve calculated by the EMS. This can be achieved, because increased numbers of microgrids with distributed energy resources will be installed in the distribution system. Furthermore, the DMS with smart control strategy by using surplus reactive power in the distribution system of the area has been gradually installed in the system as well. Therefore, a kind of hierarchical voltage control and cooperative control scheme could be considered for the effective use of energy resources. A quantitative index to evaluate the current reactive power reserve of the transmission system is also required. In the paper, the algorithm for the whole cooperative control system, including Area-Q Indicator (AQI) as the index for the current reactive power reserve of a voltage control area, is devised and presented. Finally, the performance of the proposed system is proven by several simulation studies.

• Annual Conference of KIPS
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• 2015.10a
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• pp.1131-1133
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• 2015

EMS(Energy Management System)는 우리나라 전체 전력 계통을 실시간으로 감시, 제어하고 계통 주파수를 자동으로 조정하여 성능 최적화를 유도하는 시스템으로 전력 계통의 두뇌와 같은 역할을 한다. 본 연구에서는 차세대 EMS(Next Generation Energy Management System: NG-EMS)에서 Enable과 Standby 서버 간 데이터베이스 동기화 기능 개선 개발 기술을 소개한다. EMS는 원방제어감시에 사용되는 SCADA(Supervisory Control And Data Acquisition) 데이터를 포함하여 자동발전, 경제급전 등의 전력 계통을 위해 가공된 데이터를 메모리 데이터베이스에 저장한다. 본 연구에서는 EMS의 메모리 데이터베이스에 저장되어 있는 데이터를 시스템 운영자가 선별을 하여 동기화를 수행할 수 있도록 한다. 또한 동기화 되고 있는 현황을 가시적으로 보임으로써 Enable 서버의 장애 발생 시 Standby 서버로의 대체가 유연하고 안정적이며, 신뢰성을 줄 수 있다.

• Advances in Energy Research
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• v.8 no.3
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• pp.145-153
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• 2022

Recent concerns about rising fuel prices and greenhouse gas emissions have focused attention on alternative energy sources, particularly in the transport sector. Transportation consumes 40% of overall fuel usage. As a result, a growing majority of researches on Electric Vehicles (EVs) and their Energy Management Systems (EMS) have been done. In order to enhance the performance and to meet the needs of drivers, more information regarding the EMS is needed. A new Energy Management System is proposed using a FOPID controller. To put the concept into practice, state equations are utilised. The fifth-order state-space model under study is a linked model with several inputs and outputs and the transfer matrices are calculated for decoupling the system. Utilizing these transfer matrices to decouple the system and FOPID controller is used to tune the system. The tuned parameters are minimized using a Particle Swarm Optimization (PSO) approach with Integral Time Absolute Error (ITAE) as the goal. When the suggested FOPID system's results are compared to those of PID-controlled systems, a sizable improvement is observed, which is explained by the results.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.3
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• pp.59-64
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• 2020

In the Paris Climate Agreement, Korea submitted an ambitious goal of reducing the greenhouse gas emission forecast (BAU) by 37% by 2030. And as one of the countermeasures, a smart grid, an intelligent power grid, was presented. In order to apply the smart grid, EMS(Energy Management System) needs to be installed and operated in various fields, and the supply is delayed due to the lack of awareness of users and the limitations of system ROI. Therefore, recently, various data analysis and control technologies have been proposed to increase the efficiency of the installed EMS. In this study, we present a measurement control algorithm that analyzes and predicts big data collected by IoT using a SARIMA model to check and operate energy consumption of public sports facilities.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.64 no.1
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• pp.41-47
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• 2015

In recent years, energy supply cases to take advantage of EMS(Energy Management System) are increasing according to high interest of energy efficiency. The important factor for essential and economical EMS operation is the supply and demand plan the hourly power demand of building load using the hierarchical clustering method of variety statistical techniques, and use the real historical data of target load. Also the estimated results of study are obtained the reliability through separate tests of validity.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.1
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• pp.155-161
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• 2015

The energy storage system is actively used as the widespread of smart grid. In the case of large scale EES, it can be efficiently controlled linked with BEMS or BAS. But, in the case of EES installed in a small sized household, it needs the help of the remote control system because it lacks the expert for controlling and operating of EES. In addition, in the case when the solar energy generation and EES are installed at the same time, a small sized EMS which can be efficiently controlled depending on the solar energy generation or electric power load is needed. In this paper, the EMS which can efficiently control the solar power generation as well as EES installed in a small sized household is implemented and its usefulness is verified through some experimental studies.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.6
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• pp.229-235
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• 2013

This paper proposed the method to reduce and manage the amount of using power by using the Self-Learning of inference engine that evolves through learning increasingly smart ways for each spaces with in the Space-Based Energy Management System (SEMS, Space-based Energy Management System) that is defined as smallest unit space with constant size and similar characteristics by using the collectible Big Data from the various information networks and the informations of various sensors from the existing Energy Management System(EMS), mostly including such as the Energy Management Systems for the Factory (FEMS, Factory Energy Management System), the Energy Management Systems for Buildings (BEMS, Building Energy Management System), and Energy Management Systems for Residential (HEMS, Home Energy Management System), that is monitoring and controlling the power of systems through various sensors and administrators by measuring the temperature and illumination.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.294-295
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• 2008

Korea has excellent IT capability. Adding Information Technology to KPX's experience of Power system operation, KPX is developing KEMS(Korea EMS) through cooperation between industry and the academic world. Monitoring EMS's essential elements is necessary for the EMS functions which are managing massive realtime data. This paper describes the most important and advanced structure of the TRMS(Total Resource Management System) in the process of developing KEMS(Korean Energy Management System).

• Proceedings of the KIEE Conference
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• 1983.07a
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• pp.174-176
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• 1983

This paper explains about general considerations and project management for a modern electric utility EMS/SCADA system. This paper also attempts to help engineers in the following situation: They are given the task of specifying, buying and installing a EMS/SCADA system. When do they start? What tools/texts/guidelines are available to help them out? If it is a large system, methodical project management is necessary. What are the critical tasks to be undertaken? When should they been done and how does their timing impact the whole project.