• The Transactions of the Korean Institute of Electrical Engineers P
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• v.60 no.1
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• pp.32-36
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• 2011

In this study, authors have proposed the autonomous state estimation which has been composed with IEC61850, GPS time synchronization and objective model design concept. The proposed method is able to supervise/correct measurement and communication error from SCADA. The major advantages of the proposed autonomous state estimation are that it is possible to evaluate integrity of data measured and transferred from SCADA, to reduce human intervention and to expense national-size applications such as EMS (Energy Management System), WAMS (Wide Area Monitoring System) or WAPS (Wide Area Protection System). This study addresses the issues related to the operation of the smart grid and proposes a new automated approach to achieve this goal. Through applying the proposed system to IEEE 14-bus test electric system, we prove the possibility of the proposed idea.

• International Journal of Computer Science & Network Security
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• v.22 no.3
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• pp.37-44
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• 2022

Plug-in Hybrid electric vehicles (PHEV) show great potential to reduce gas emission, improve fuel efficiency and offer more driving range flexibility. Moreover, PHEV help to preserve the eco-system, climate changes and reduce the high demand for fossil fuels. To address this; some basic components and energy resources have been used, such as batteries and proton exchange membrane (PEM) fuel cells (FCs). However, the FC remains unsatisfactory in terms of power density and response. In light of the above, an electric storage system (ESS) seems to be a promising solution to resolve this issue, especially when it comes to the transient phase. In addition to the FC, a storage system made-up of an ultra-battery UB is proposed within this paper. The association of the FC and the UB lead to the so-called Fuel Cell Battery Electric Vehicle (FCBEV). The energy consumption model of a FCBEV has been built considering the power losses of the fuel cell, electric motor, the state of charge (SOC) of the battery, and brakes. To do so, the implementing a reinforcement-learning energy management strategy (EMS) has been carried out and the fuel cell efficiency has been optimized while minimizing the hydrogen fuel consummation per 100km. Within this paper the adopted approach over numerous driving cycles of the FCBEV has shown promising results.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.77-78
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• 2008

본 논문에서는 한국형 에너지 관리 시스템의 네트웍 해석 소프트웨어의 하나인 휴전계획 프로그램의 개발에 대해 다루었다. 휴전계획은 장단기의 계통 설비 휴전에 대한 데이터베이스 관리 프로그램으로 계통 해석용 소프트웨어들에 정보를 제공한다. 휴전계획 프로그램의 개발을 위해 현행 휴전 절차를 검토하였으며 이를 통해 사용자 요구사항을 반영한 데이터베이스를 설계하였다. 휴전 계획 프로그램의 특성상 여타의 다른 EMS 용 어플리케이션과 달리 화면 처리 및 휴전정보 처리를 위한 독립적인 실시간 어플리케이션과 데이터를 필요로 하므로 이를 위한 아키텍쳐를 설계하였다. C++ 및 ANCI C를 사용하여 구현하였으며 한국형 EMS 시스템의 실시간 환경하에서 시험하였다.

• Journal of Electrical Engineering and Technology
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• v.13 no.5
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• pp.1814-1820
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• 2018

State estimation of power systems has become vital in recent days of power operation and control. SCADA and EMS are intended for the state estimation and to communicate and monitor the systems which are operated at specified time. Although various methods are used we can achieve the better results by using PMU technique. On placing the PMU, operating time is reduced and making the performance reliable. In this paper, PMU placement is done in two ways. Those are 'optimal technique with pruning operation' and 'depth of unobservability' considering incomplete and complete observability of a network. By Depth of Unobservability Number of PMUs are reduced to attain Observability of the network. Proposed methods are tested on IEEE 14, 30, 57, SR-system and Sub systems (1, 2) with bus size of 270 and 444 buses. Along with achieving complete observability analysis, single PMU loss condition is also achieved.

• Proceedings of the KIEE Conference
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• 2000.07a
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• pp.357-359
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• 2000

This paper is to introduce the R&D project called "Improvement of Automatic Gene-ration Control Related Systems for New Energy Management system". The principal objective of this project is to demonstrate AGC operation capabilities that are suitable to new EMS environment and to show the validity of Set-Point Control Method. A number of developments and enhancements have been made to the generator's Remote Terminal Unit in which new ASTC is being developed and installed. The so-called ACC Signal Transfer Card(ASTC) will include RTU's Set-Point Control capabilities. It is expected that over next few months both RTU & DCS software modifications will be given and a relatively new Set-Point Control Method will be chosen instead of those from more conventional method, pulse control method.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.18 no.5
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• pp.83-89
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• 2004

The importance of the Load Power Factor(LPF) management is newly noticed from the voltage management and operation of the power system due to the rapidly increasing reactive power consumed. Therefore, this paper proposes the regional, seasonal and hourly Representative Model of Load Power Factor(RMLPF) considering load characteristics of all 154/22.9[kV] substations. The RMLPF is used to present a precision improvement of power system analysis and security. Computation of representative model of load utilizes the average flow method based on moving average method. The Energy Management System(EMS) data are used as the source to assess the load power factor.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.10
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• pp.8-15
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• 2020

A forecasting method using deep learning does not have consistent results due to the differences in the characteristics of the dataset, even though they have the same forecasting models and parameters. For example, the forecasting model X optimized with dataset A would not produce the optimized result with another dataset B. The forecasting model with the characteristics of the dataset needs to be optimized to increase the accuracy of the forecasting model. Therefore, this paper proposes novel optimization steps for outlier removal, dataset classification, and a CNN-LSTM-based hyperparameter tuning process to forecast the daily power usage of a university campus based on the hourly interval. The proposing model produces high forecasting accuracy with a 2% of MAPE with a single power input variable. The proposing model can be used in EMS to suggest improved strategies to users and consequently to improve the power efficiency.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.6
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• pp.1321-1326
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• 2015

The amount of smart phones has increased exponentially. Due to the periodic release of high-performance smart phones and upgraded operating system, new smart phones become out-dated over 1 or 2 years. In order to solve environmental constraints of these smart phones, virtualization technology using Thin-Client terminal has been developed. However, in the case of Virtual Machine(VM), the applications associated with sensors and a GPS device can not run because they are not included. In this paper, by implementing the device driver for Android running in a virtual machine in the x86-based systems, it is to provide Android virtualization capabilities such as using the latest smart phones in the virtual machine environment. It would like to propose a method that the virtual device driver receives sensors and GPS information from the old Android smart phones(Thin-Client) that actually work and run as if the real device exists.

• Proceedings of the KIEE Conference
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• 2000.11a
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• pp.119-121
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• 2000

The possibility of a remote on-line determination of the maximum load rates that are basically set at generation plants is investigated in automatic generation control (AGC) system. Energy management system (EMS) generates a test input to a remote power plant to get the samples of the generator output. Then from the samples it can be attempted to determine an approximate value of the load rate limit set by the operator. It is shown in computer simulation that in actual power plants the limit can be approximately determined from the input-output characteristics of the plants for a unit-step input.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.290-291
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• 2008

전력계통의 운영은 생산과 소비가 동시에 이루어지는 특성을 지닌 전기를 사용하는 고객에게 양질의 전기를 중단 없이 공급하기 위하여 전체 전력계통을 실시간으로 감시 제어하고, 계통주파수를 자동으로 조정하는 설비인 에너지관리시스템(EMS: Energy management system)을 이용한다. 또한 시장운영시스템(MOS : Market Operating System)은 전력을 일반 상품처럼 사고 팔기 위하여 입찰, 계량, 정산기능을 수행하고 있다. 이들 시스템은 전력산업분야의 최정점에 있는 핵심적인 장치로서 복잡한 전력계통의 운영과 효율적인 전력시장 운영을 위하여 견고한 플랫폼과 계통규모에 적합한 다양한 어플리케이션이 제공되어야 한다. 세계적으로 이들 시스템은 약 10${\sim}$15년 주기로 업그레이드 혹은 설비 전면 대체를 하고 있으며 이때 설계자가 과거, 현재의 경험을 바탕으로 미래 지향적인 관점에서 심사숙고하여 설계하느냐에 따라 향후 전력산업발전에 지대한 영향을 미칠 수 있다.