• Proceedings of the IEEK Conference
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• 2005.11a
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• pp.1287-1290
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• 2005

This paper represents an conceptual design for the on-line EMS(Energy Management System) database using object-oriented concept. By using object-oriented concept, EMS can meet on-line control operation.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.408-409
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• 2007

한국전력거래소는 2005년 11월부터 한국형EMS(K-EMS; Korean Energy Management System) 개발을 추진 중에 있다. 2010년 10월까지 5년간에 걸쳐 3단계로 개발이 진행되는데 Baseline EMS, Prototype EMS 및 Fullscale EMS가 순차적으로 개발되게 된다. 본 논문에서는 한국형EMS 개발의 전반적인 개발 계획에 대해서 기술하고자 한다.

• Proceedings of the KIEE Conference
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• 2008.11a
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• pp.258-260
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• 2008

전력계통 규모가 대형화, 복잡화됨에 따라 전력계통의 안정적 운용과 양질의 전력공급을 보장하기 위해 EMS(Energy Management System)를 사용, 에너지 시스템 운용에 있어 안정적, 효과적 제어를 기하고 있다. 그러나 전력감시제어설비(SCADA)로부터의 실시간 데이터 누락, 또는 측정데이터의 오류가 발생할 경우 시스템상의 가관측성이 확보되지 않게 되어 상태추정이 불가능 할 수 있다. 이에 상태추정의 가관측성을 제공하기 위해 현재 한국형 EMS (K-EMS : Korea Energy Management System)의 응용프로그램 중 하나인 BLF(Bus Load distribution Factor) 산정 프로그램을 개발중에 있으며, 본 논문에서는 BLF 산정 프로그램을 통한 가관측성 확보방안과 프로그램에 대한 알고리즘에 대해 설명하고자 한다.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.1
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• pp.29-35
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• 2011

In this paper, an integrated simulation model for designing multi-agent system based DEMS (distributed energy management system) in stand-alone micro-grid system is proposed. In the design of the EMS(energy management system), the multi-agent based DEMS are more effective than conventional centralized EMS, but it is difficult to design the DEMS by general design tools for power system because of various states of a microgrid system during operation of stand-alone mode. Also, since performance test of the DEMS using a real system is inefficient, an integrated simulation model is required for designing an effective multi-agent system based DEMS. The proposed model consists of Matlab/SimPowerSystems based simulation model of the microgrid system and the Multi-agnet based DEMS designed by Matlab/StateFlow tool. In order to show the effect of the proposed model, the model outputs are analyzed for specified operation conditions.

• Smart Media Journal
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• v.12 no.2
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• pp.91-102
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• 2023

The Energy Management System (EMS) communicates with power plants and substations, monitors the substations and plant operational status of the transmission and substation system for stability, continuity, real-time, and economy of power supply, and controls power plants and substations. Currently, the power exchange EMS communicates with power plants and substations based on the serial communication-based Distributed Network Protocol (DNP) 3.0 protocol. However, problems such as the difficulty of supply and demand of serial communication equipment and the lack of installation space for serial ports and modems are raised due to the continuous increase in new facilities to perform communication, including renewable power generation facilities. Therefore, this paper presents a TCP/IP-based communication method instead of the existing serial communication method of the power exchange EMS, and presents a security risk analysis that may occur due to changes in the communication method and a countermeasure to the security risk.

• Korean Journal of Artificial Intelligence
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• v.12 no.1
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• pp.17-24
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• 2024

This paper introduces a novel approach to time-series estimation for energy load forecasting within Virtual Power Plant (VPP) systems, leveraging advanced artificial intelligence (AI) algorithms, namely Long Short-Term Memory (LSTM) and Seasonal Autoregressive Integrated Moving Average (SARIMA). Virtual power plants, which integrate diverse microgrids managed by Energy Management Systems (EMS), require precise forecasting techniques to balance energy supply and demand efficiently. The paper introduces a hybrid-method forecasting model combining a parametric-based statistical technique and an AI algorithm. The LSTM algorithm is particularly employed to discern pattern correlations over fixed intervals, crucial for predicting accurate future energy loads. SARIMA is applied to generate time-series forecasts, accounting for non-stationary and seasonal variations. The forecasting model incorporates a broad spectrum of distributed energy resources, including renewable energy sources and conventional power plants. Data spanning a decade, sourced from the Korea Power Exchange (KPX) Electrical Power Statistical Information System (EPSIS), were utilized to validate the model. The proposed hybrid LSTM-SARIMA model with parameter sets (1, 1, 1, 12) and (2, 1, 1, 12) demonstrated a high fidelity to the actual observed data. Thus, it is concluded that the optimized system notably surpasses traditional forecasting methods, indicating that this model offers a viable solution for EMS to enhance short-term load forecasting.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.10
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• pp.1842-1848
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• 2009

This paper summarizes a data modeling for developing the baseline network analysis software of the Korean energy management system (EMS). The study is concentrated on the following aspects. First, the data for operating the each application software are extracted. Some of the EMS network application softwares are selected for basis model. Those are based on the logical functions of each software and are not considered the other softwares. Second, the common data are extracted for equipment model and topological structure of power system in Korea. We propose the application common model(ACM) that can be applied whole EMS network application softwares. The ACM model includes the hierarchy and non-hierarchy power system structure, and is connected each other using the direct and indirect link. Proposed database model is tested using the Korea Electric Power Corporation(KEPCO) system. The real time SCADA data are provided for the test. Through the test, we verified that the proposed database structure can be effectively used to accomplish the Korean EMS system.

• Proceedings of the KIEE Conference
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• 1997.07c
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• pp.1187-1189
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• 1997

Currently, EMS(Energy Management System) database is implemented by relational concept but, It is hard to describe the characteristic of power system data which require real time management and composite type. This paper present the way how to design conceptual schema for EMS database using object-oriented concept which is free to describe composite data type and support inheritance concept.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.306-307
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• 2015

Energy Management System(이하 EMS)는 전기를 경제적으로 생산하여 효율적이고 안정적으로 공급하기 위한 종합전력에너지 관리시스템이다. 실시간으로 전달되는 전력, 설비 등의 각종 값을 이용하여 발전량을 계획하고 전력 계통을 감시하고 제어한다. 이러한 취득데이터는 EMS 데이터베이스에 저장되어 갱신되며 실시간으로 처리되고 있다. EMS 데이터베이스는 방대한 양의 취득 및 처리 데이터가 저장된다. 또한, EMS에서 기동되는 다양한 프로세스들이 접근하며 사용자가 정의한 쿼리문에 맞는 데이터를 전달해야 한다. 기동측면에서는 안정적인 삭제 및 생성이 되어야 하며 데이터베이스의 예기치 못한 문제 발생 시 사용자에게 알리고 효율적으로 대처 할 수 있어야 한다. 본 논문에서는 EMS 데이터베이스에 대한 주요 특징을 알고 데이터베이스 상태에 대한 효율적인 감시 방안에 대하여 소개한다.

• Proceedings of the KIPE Conference
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• 2012.11a
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• pp.33-34
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• 2012

As the distributed power system with PV and ESS is highlighted to be one of the most prominent structure to replace the traditional electric power system, power flow scheduling is expected to bring better system efficiency. Optimal energy management system (EMS) where the power from PV and the grid is managed in time-domain using ESS needs an optimization process. In this paper, main optimization method is implemented using dynamic programming (DP). To overcome the drawback of DP in which ideal future information is required, prediction stage precedes every EMS execution. A simple auto-regressive moving-average (ARMA) forecasting followed by a PI-controller updates the prediction data. Assessment of the on-line optimal EMS scheme has been evaluated on several cases.