• Journal of Communications and Networks
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• 제18권6호
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• pp.902-912
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• 2016

Recent advances in energy harvesting (EH) technology have motivated the adoption of rechargeable mobile devices for communications. In this paper, we consider a point-to-point (P2P) wireless communication system in which an EH transmitter with a non-ideal rechargeable battery is required to send a given fixed number of bits to the receiver before they expire according to a preset delay constraint. Due to the possible energy loss in the storage process, the harvest-use-and-store (HUS) architecture is adopted. We characterize the properties of the optimal solutions, for additive white Gaussian channels (AWGNs) and then block-fading channels, that maximize the energy efficiency (i.e., battery residual) subject to a given rate requirement. Interestingly, it is shown that the optimal solution has a water-filling interpretation with double thresholds and that both thresholds are monotonic. Based on this, we investigate the optimal double-threshold based allocation policy and devise an algorithm to achieve the solution. Numerical results are provided to validate the theoretical analysis and to compare the optimal solutions with existing schemes.

• Journal of Electrical Engineering and Technology
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• 제13권2호
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• pp.659-668
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• 2018

This paper proposes an optimization approach of a grid-connected photovoltaic and wind hybrid energy system including energy storage considering voltage fluctuation in the electricity grid. A techno-economic analysis is carried out in order to minimize the size of hybrid system by considering the benefit-cost. Lithium-ion battery type is used for both managing the electricity selling to the grid and reducing voltage fluctuation. A new technique is developed to limit the voltage perturbation caused by the solar irradiance and the wind speed through determining the state-of-charge of battery for every hour of a day. Improved particle swarm optimization (PSO) methods, referred to as FC-VACPSO which combines Fast Convergence Particle Swarm Optimization (FCPSO) method and Variable Acceleration Coefficient Based Particle Swarm Optimization (VACPSO) method are used to solve the optimization problem. A comparative study has been performed between standard PSO method and PSO based methods to extract the best size with the benefit cost. A sensitivity analysis has been studied for different kinds and costs of batteries, by considering variable and constant state-ofcharge of battery. The simulations, performed under Matlab environment, yield good results using the FC-VACPSO method regarding the convergence and the benefit cost of the hybrid system.

• Journal of Electrical Engineering and Technology
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• 제8권4호
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• pp.667-674
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• 2013

Wind power producers face many regulation costs in deregulated environment, which remarkably lowers the value of wind power in comparison with conventional sources. One of these costs is associated with the real-time variation of power output and being paid in frequency control market according to the variation band. This paper presents a new approach to coordination of battery energy storage in wind generation system for reducing the payment in frequency control market. The approach depends on the statistic data of wind generation and the prediction of frequency control market price to determine the optimal variation band which is then kept by the real-time charging and discharging of batteries, ultimately the minimum cost of frequency regulation can be obtained. The optimization problem is formulated as trade-off between the decrease in the regulation payment and the increase in the cost of using battery, and vice versus. The approach is applied to a study case and the results of simulation show its effectiveness.

• 한국융합학회논문지
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• 제12권4호
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• pp.1-8
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• 2021

현재 자동차를 포함한 에너지 저장장치 제품에는 리튬 이온 배터리가 주로 사용되고 있으며, 이를 과충전하거나, 고온 상황에 방치하는 잘못된 배터리 관리 상황 발생시 폭발 등 위험한 상황에 노출될 수 있으며, 과방전 시 배터리 불능 상황을 야기한다. 이로 인해 배터리 상태를 관리해주는 시스템이 필요하며 배터리 관리 시스템은 배터리 상태를 정확하게 인지하고 각 셀의 전압을 일정하게 유지하여 최적의 배터리 효율을 얻는 데 목적이 있다. 본 논문에서는 일반적 리튬이온배터리에 비해 고안전성을 갖는 리튬인산철 배터리팩과 이를 관리하기 위해 Matlab Simulink 기반의 시뮬레이션을 사용하여 셀 특성을 확인할 수 있는 RC등가회로 모델을 이용한 분석방법을 제시하고, 저전력 및 상호통신간섭이 적은 블루투스 기반 BMS 모듈의 알고리즘을 개발하였다.

• 전기학회논문지P
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• 제67권1호
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• pp.15-20
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• 2018

This paper presents the method of ESS energy capacity calculation for stand-alone renewable energy generation system consisting of photovoltaic energy. There is almost no power from photovoltaic system during sunless days. So this source is very weak in terms of the power supply reliability. To improve problem of power supply, battery is mainly used Energy Storage System(ESS). The number of sunless days and Depth of Discharge(DOD) is important factor to determine energy capacity of battery. However, a many study for economical design is required due to the high cost of ESS. In this paper, we propose the new method of ESS energy capacity calculation by applying different DOD for operation with and without sun. We determine the Battery capacity using higher DOD of operation during sunless day than the DOD of the normal operation. And we carried out an economic analysis of the calculation results.

• 조명전기설비학회논문지
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• 제28권9호
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• pp.60-66
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• 2014

In case of DC railway, value of ESS(Energy Storage System) is already approved. Whereas AC railway system, there are a lot of differences such as system design and operation pattern. Therefore there is doubt about AC ESS usefulness. Especially, regenerative energy can return to the source. So in case of AC 25kV system, it is necessary to consider different operation algorithm compare to DC railway system. In this paper ESS which is installed in AC high-speed railway was introduced. Power consumption pattern of High speed trains were analyzed, proper storage material was reviewed and operation algorithm was suggested. Super capacitor and Battery was used with hybrid type. Super capacitor was used to handle short term energy movement because of its prompt response and battery was used to handle long term energy movement because of its high energy density. Also in case of operation algorithm, phase control method was upgraded compare to voltage magnitude detection method.

• 전력전자학회논문지
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• 제16권6호
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• pp.587-593
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• 2011

본 논문에서는 고 전력밀도 및 저가형으로 구성 가능한 새로운 구조의 계통 연계형 태양광 인버터 시스템을 제안한다. 제안 시스템은 태양전지의 최대 전력점 추종기능과 배터리의 충 방전 기능을 단일 전력단으로 구성함으로써, 고 전력밀도 및 저가격형 시스템 구성이 가능하다. 또한, 제안 시스템은 배터리를 링크 캐패시터에 직렬 연결함으로써 링크 캐패시터의 전압 스트레스를 배터리 전압만큼 저감할 수 있으므로 가격저감 효과가 크다. 최종적으로 제안 시스템의 우수성과 신뢰성 검증을 위하여 1.5kW급 태양광 인버터 시스템의 시작품을 제작하였고, 이를 이용한 실험결과를 바탕으로 제안 시스템의 타당성을 검증한다.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2012년도 추계학술대회 논문집
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• pp.147-148
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• 2012

Recently, hybrid generation systems combine multiple energy sources or storage components to optimize the characteristics of the individual energy sources. In this paper, a battery integrated PV power optimizer for PV-battery hybrid power generation system is proposed. PV system using proposed topology can easily increase battery capacity and remove high power bidirectional converter to control bulky battery bank.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2008년도 추계학술대회 논문집
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• pp.57-60
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• 2008

As the technology of a large scale battery have advanced, it's application to the electric power network have been active in foreign country. By providing the electric power energy stored in the electric power storage system when needed, there are many advantages that it is able to reduce the gap between the electric power demand and supply for day and night to increase capacity factor, to upgrade the electric power quality degraded from the unbalance between power demand and supply and to compensate the fluctuation of wind power plant and photovoltaic power generation. In this study, the current application of electric power storage system using battery is introduced in detail, and I have thought out it's application fields based on the foreign examples. These are demand side response, upgrade of the power quality, stabilization of fluctuation of renewable energy and distributed generation for filling elapse.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2014년도 추계학술대회 논문집
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• pp.15-16
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• 2014

This paper proposed a construction of BMS to adopt energy storage system using flow battery. To operate flow battery system with BMS, there are motor drive system to pump electrolyte up. And it needs sensors to check leaking and temperature. The proposed system is verified by experiment.