• Proceedings of the KIPE Conference
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• 2015.07a
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• pp.147-148
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• 2015

본 논문에서는 50kW 디젤발전기를 MATLAB/SIMULINK를 이용해 모델링 하였으며, 독립운전을 통해 배터리에 전력을 공급하는 시스템을 시뮬레이션 하였다. 독립운전에서의 디젤발전기 제어기는 주파수를 제어하는 조속기와 전압을 제어하는 여자기로 구성되어 있으며, 액추에이터와 디젤엔진 등은 응답 속도를 고려한 시정수를 갖는 시지연 함수로써 모델링하였다. 디젤발전기에서 CVCF 제어를 통해 BESS(Battery Energy Storage System)에 전력을 공급할 때, 디젤발전기와 BESS 측의 전압 특성을 분석하였다.

• New & Renewable Energy
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• v.10 no.3
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• pp.47-54
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• 2014

Recently, BESS is considered as one of essential countermeasure for demand side management. However, an economic evaluation is critical issue for the introduction of power system because the cost of BESS is very high in present stage. Therefor, this paper presents economic evaluation method for customer use case by considering peak shaving function based on the real time price. From the case study on the model power system and educational customer, it is confirmed that the proposed method is a practical tool for the economic analysis of BESS. and analytical approach for the reliability assessment in radially operated distribution systems. The approach can estimate the expected reliability performance of distribution systems by a direct assessment of the configuration of the systems using the reliability indexes such as NDP (Non-Delivery Power) and NDE (Non-Delivery Energy). The indexes can only consider the number and configuration of the load, but can not consider the characteristics of the load which is the one of the most important factor in the investment cost for the distribution systems. Therefore, this paper presents the new performance indexes for the investment of the distribution facilities considering both the expected interruption cost for the load section and the operation characteristics of Energy Storage System. The results from a case study show that the proposed methods can be a practical tool for the reliability management in distribution systems including Energy Storage System.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.2
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• pp.141-146
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• 2014

This paper suggests a way of generating one-day load curves for performance improvement of peak shaving in a power system. This Peak Shaving algorithm is a long-term scheduling algorithm of PMS (Power Management System) for BESS (Battery Energy Storage System). The main purpose of a PMS is to manage the input and output power from battery modules placed in a power system. Generally, when a Peak Shaving algorithm is used, a difference occurs between predict load curves and real load curves. This paper suggests a way of minimizing the difference by making predict load curves that consider weekly normalization and seasonal load characteristics for smooth energy charging and discharging.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.64 no.4
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• pp.529-536
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• 2015

With the growing interest of microgrid all over the world, many studies on microgrid operation are being carried out. The battery energy storage system(BESS) is a key equipment for effective operation of the microgrid. In this paper, we analyze the characteristics of the charge and discharge output voltage of the battery and the characteristics of the life-span variation and the investment cost when the state-of-charge (SOC) changes. The formulas to represent the quality of the charge and discharge output voltage of the battery and the economics due to the life-span variation and the investment cost according to DOD(Depth of Discharge) are derived. The methodology of determining the proper operation ranges of the battery SOC with varying the weighting of the quality of its charge and discharge output voltage of the battery and the economics due to its life-span variation and the investment cost is presented using these formulas.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.56 no.2
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• pp.151-161
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• 2023

This study examined the nutritional characteristics of commercial Sik-hae (CS). The proximate composition per 100 g of CS: 12.7±3.8 g crude protein, 4.4±1.0 g crude lipid, and 6.0±1.2 ash. The total amino acid content range and average per 100 g of CS were 5.65-16.32 g and 11.69±3.76 g, respectively, and the major amino acids were aspartic acid and glutamic acid in all products. The major fatty acids of CS were 16:0 (all products), 18:1n-9 [8 types, flounder sik-hae (FS, all products), sandfish sik-hae (SS), anchovy sik-hae (AS) and black edged sculpin sik-hae (BESS)], 18:2n-6 (9 types, excluding AS), 20:5n-3 (4 types, FS-1, 2, 3, 5), and 22:6 [3 types, FS-3, Alaska pollock sik-hae (APS)-1 and AS]. As a supply source of mineral, 7 types (FS-1, 2, 3, 5, SS, AS and BESS) of calcium, 9 types [FS (all products), APS-1, SS, AS and BESS] of phosphorus, 6 types (FS-1, 3, 5, APS-1, SS and AS) of magnesium and 5 types (FS-1, 4, APS-2, SS and AS) of iron were expected.

• Journal of Electrical Engineering and Technology
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• v.11 no.5
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• pp.1063-1069
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• 2016

• Journal of the Korean Solar Energy Society
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• v.26 no.2
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• pp.69-77
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• 2006

Photovoltaic is an attractive technology to remote power applications, because of its reliability, low maintenance, and zero fuel requirements. In this paper represents residential PV system based on BESS(battery energy storage system) for managing the electric power, a pattern of daily operation considering the load characteristics of the house, the generation characteristics of PV power, and utility power leveling. For apply to control algorithm, we consider the load on monthly power consumption trend and daily usage pattern. As for the control of the proposed system, to increase the conversion efficiency of the PV power, bidirectional converter is used for MPPT and SPWM inverter. An experimental system is implemented, and some experimental results are provided to demonstrate the effectiveness of the proposed system.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.143-144
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• 2011

Due to enhanced demands on quality, security and reliability of the electric power energy system, a microgrid has become a subject of special interest. In this paper, output characteristics of energy storage system (ESS) with an electric double layer capacitor (EDLC) and battery energy storage system (BESS) of a renewable energy based microgrid were analyzed under grid-connected and islanded operation modes. The microgrid which consists of photovoltaic and wind power turbine generators, diesel generator, ESS with an EDLC, BESS and loads was modeled using real time digital simulator. The results present the effective control patterns of the microgrid system.

• The Transactions of the Korean Institute of Power Electronics
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• v.22 no.4
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• pp.312-323
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• 2017

This paper introduces the bidirectional dc-dc converter design case study, which employs silicon-carbide (SiC) MOSFETs for battery energy storage system (BESS). This converter topology is selected as bidirectional synchronous buck converter, which is composed of a half bridge converter, an inductor, and a capacitor, where the converter has less conduction loss than that of a unidirectional buck and boost converter, and to improve the converter efficiency, both the power stage design and power conversion architecture are described in detail. The conduction and switching losses are compared among three different SiC devices in this paper. In addition, the thermal analysis using Maxwell software of each switching device supports the loss analyses, in which both the 2 kW prototype analyses and experimental results show very good agreement.

• Proceedings of the KIEE Conference
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• 2001.07a
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• pp.315-317
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• 2001

This paper studies for the optimal operation of BESS. The goal must be optimized electricity charge of the customer sides owned time-of-use rates in this paper. Therefore, the least of cost is caused by BESS installation, Multi-Pass Dynamic Programming (MPDP) algorithm is applied to the customer for the optimal operation determination in this paper. It is to solve the optimal solution under the constraints. No matter how become one stage in general, problem is divided into several stage in series in this algorithm. Regardless of the decision step, MPDP is only accomplished based on the state of stage in the present. To investigate the efficiencies of the algorithm, it is applied the typical load curve to the cutomer owned Time-Of-Use(TOU). Result shows that the maximun economic benefits of the battery energy storage system can be achieved by the purposed algorithm.