• Proceedings of the KIPE Conference
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• 2011.11a
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• pp.151-152
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• 2011

본 논문에서는 스마트 그리드에 적용되는 2MVA 배터리 에너지 저장 시스템(BESS, Battery Energy Storage System)의 제어 알고리즘을 제안하고 검증하였다. BESS는 전력변환을 위한 PCS(Power Conditioning System), 배터리 제어 및 상태확인을 위한 BCS(Battery Conditioning System)와 상위 시스템으로부터 지령을 받아 PCS와 BCS를 제어하는 PMS(Power Management System)로 구성되어 있다. BESS는 풍력안정화를 위해 EMS(Energy Management System)의 지령을 받아 운전모드를 선택하고, 운전모드에 따라서 계통측 전력을 제어하거나 배터리측 전류를 제어하고, 배터리의 완전충전을 위해 전압제어를 한다.

• Proceedings of the KIPE Conference
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• 2011.07a
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• pp.5-6
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• 2011

본 논문은 POSCO ICT에서 개발한 2MVA/500kWh급 BESS(Battery Energy Storage System)에 대해 기술하였다. 개발된 BESS는 상위 EMS(Energy Management System)와 연계를 위한 주제어부, 전력변환을 위한 PCS(Power Conditioning System)부, 에너지 저장을 위한 BCS(Battery Conditioning System)부로 구성되어 있다.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.2
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• pp.269-278
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• 2016

In order to maintain customer voltages within allowable limit($220{\pm}13V$) as much as possible, tap operation strategy of SVR(Step Voltage Regulator) installed in distribution system is very important, considering the scheduled delay time(30 sec) of SVR. However, the compensation of BESS(Battery Energy Storage System) during the delay time of SVR is being required because the customer voltages in distribution system interconnected with PV(Photovoltaic) system have a difficultly to be kept within allowable limit. Therefore, this paper presents the optimal voltage stabilization method in distribution system by using coordination operation algorithm between BESS and SVR. It is confirmed that customer voltage in distribution system can be maintained within allowable limit($220{\pm}13V$).

• Proceedings of the KIPE Conference
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• 2011.11a
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• pp.275-276
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• 2011

본 논문은 풍력과 태양광 등의 신재생 에너지 전력저장뿐만 아니라 계통 안정화 및 전력품질 관리에 적용 가능한 BESS(Battery Energy Storage System)에서 대용량 에너지를 안정적으로 충전하고 방전할 수 있는 BCS(Battery Conditioning System) 개발에 대해 기술하였다. 충 방전시 배터리 냉각을 고려한 열유동 해석, 외부 환경조건 및 국내외 운송을 고려한 구조해석 등의 과정을 거쳐 설계 제작하였으며, 충 방전 성능시험을 수행하였다.

• Proceedings of the KIEE Conference
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• 1993.07b
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• pp.711-714
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• 1993

A predictive current controller for the Battery Energy Stroage System(BESS) based on space vector PWM of transformer coupled inverters is presented. The control method have many advantages such as accurate control, reduced harmonics, good dynamics, improved stability, wide control range, etc,. The simulation results show that the predictive control method with space vector PWM is suitable for the transformer coupled inverters applied to the battery energy storage system.

• KEPCO Journal on Electric Power and Energy
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• v.5 no.3
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• pp.157-163
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• 2019

K-BEMS System was introduced to reduce peak load and to save total energy of the 120 buildings that KEPCO headquarter and branch offices use. K-BEMS system is composed of PV, battery, and hybrid PCS. In this system, ESS, PV, lighting is used to save building energy based on demand prediction. Currently, neural network technique for short past data is applied to demand prediction, and fixed scheduling method by operator for ESS charging/discharging is used. To enhance this system, KEPCO research institute has carried out this K-BEMS research project for 3 years since January 2016. As the result of this project, we developed new real-time highly reliable building demand prediction technique with error free and optimized automatic ESS charging/discharging technique. Through several field test, we can certify the developed algorithm performance successfully. So we will describe the details in this paper.

• Proceedings of the KIPE Conference
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• 2011.07a
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• pp.109-110
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• 2011

본 논문은 배터리 에너지 저장 시스템(Battery Energy Storage System, BESS)에 사용된 대용량 리튬이온 배터리의 등가 모델링을 제안하였다. 리튬 배터리의 전기화학적 특성을 고려한 임피던스 등가모델을 선정한 후 등가모델의 파라미터를 추출하였으며, 추출된 파라미터와 SOC(State-of Charge)와의 관계를 살펴보았다. 본 연구를 통하여 얻어진 파라미터를 이용하면 BESS 제어시 배터리 특성을 파악할 수 있으므로, 배터리의 최적제어 및 시스템의 신뢰성을 높일 수 있을 것으로 기대된다.

• Journal of Electrical Engineering and Technology
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• v.12 no.5
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• pp.1916-1924
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• 2017

Fossil oil, as the main energy of transportation, is destined to be exhausted. The electrification of transportation is a sustainable solution to the energy crisis, since electric power could be acquired from the inexhaustible sun, wind and water. Among all the problems that hinder the development of Electric Vehicle (EV) industry, charging issue might be the most prominent one. In this paper, the service process of a charging station with Battery Energy Storage System (BESS) is analyzed by means of $Cram{\acute{e}}r$ - Lundberg model which has been intensively utilized in ruin theory. The service quality is proposed in two dimensions: the service efficiency and the service reliability. The arrival rate and State of Charge (SOC) upon arrival are derived from 2009 National Household Travel Survey (NHTS). The simulations are performed to show how the service quality is determined by the system parameters such as the number of servers, the service rate, the initial capacity, the charge rate and the maximum waiting time. At last, the economic analysis of the system is conducted and the best combination of the system parameters are given.

• Proceedings of the KIPE Conference
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• 2013.11a
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• pp.127-128
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• 2013

본 논문은 POSCO ICT가 개발한 2MVA/500kWh급 BESS(Battery Energy Storage System)의 가파도 마이크로그리드 적용사례와 실증결과에 대해 기술하였다. 이를 위해 가파도 마이크로그리드 구성과 BESS 역할을 설명하였고, 적용된 기술을 소개하였다. 또한 시험항목과 의의를 서술하고, 시험결과를 통해 계통망의 전력품질 및 BESS 제어성능을 검증하였다.

• Proceedings of the KIEE Conference
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• 1996.07b
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• pp.856-858
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• 1996

This paper describes a simulation model to analyze the interconnection operation of battery energy storage system(BESS) and utility system. The computer model used to these analysis composed by using PSCAD/EMTDC. The impacts experienced at load side are studied when occur faults in utility system, and also harmonics analysis are implemented. Results of these study are available to design the harmonic filter.