• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.6
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• pp.2826-2832
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• 2012

A smart grid is an electric-power grid that employs a new information technology.This technology makes it possible to exchange real-time energy information between suppliers and consumers, finally resulting in high energy efficiency. The energy management system in smart grid provides up to date information on electricity consumption as well as dynamic electricity price to consumers of smart grid system. However, the existing energy management systems only focus on pricing system, for example, real-time electricity prices. In this paper, we try to improve the existing energy management system and propose the energy management system that mainly focuses on the efficiency of electricity consumption. In the proposed management system, PMU(Phasor Measurement Units) installed in switchboards gathers electricity data in a real time. We also propose to use data mining method, which is applied to analyzed electricity data for improving energy efficiency. Also, the proposed energy management system is designed to efficiently control the electricity between PMU and management system in case of a shortage of electricity or surplus electricity.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.6 no.3
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• pp.231-240
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• 2005

Recently, the needs and concerns for the power loss are increasing according to the energy conservation at the level of the national policies and power utilities's business strategies. Especially, the issue of the power loss is the main factor for the determining the electric pricing rates in the circumstances of the deregulation of electrical industry. However, because of the lacking of management for power loss load factors (LLF) it is difficult to make a calculation for the power loss and to make a decision for the electric rates. And loss factor (k-factor) in korea, which is a most important factor for calculation of the distribution power loss, has been used as a fixed value of 0.32 since the fiscal year 1973, There(ore, this study presents the statistical calculation methods of the loss factors classified by load types and seasons by using the practical data of 65 primary feeders which are selected by proper procedures. Based on the above the algorithms and methods, the optimal method of the distribution loss management classified by facilities such as primary feeders, distribution transformers and secondary feeders is presented. The simulation results show the effectiveness and usefulness of the proposed methods.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.575_576
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• 2009

최근 전력산업의 구조적인 측면에서는 수직적 형태의 분리 및 경쟁 도입, 그리고 민영화를 통한 효율 증진 등 전력산업 개편이 전세계적으로 이루어지고 있다. 전력산업의 개편 과정에서 전력공급자(ESP)는 불완전한 시장으로 인한 재정적인 위험에 직면한다. ESP가 재정적인 위험에서 근본적으로 벗어나기 위해서는 합리적인 전기 소매 가격의 책정이 필요하다. 본 논문에서는 현재 적용되고 있는 고정 소매 가격제에 대한 문제점을 제시하고 이를 극복하기 위해서 전기 공급 도매 가격의 변동성을 예측함으로써 헤징을 통한 새로운 요금제의 도입의 필요성을 제안하는 것이 본 논문의 목적이다. 본 논문에서 소개될 새로운 요금제인 Critical Peak Pricing(CPP)에서 전기 공급 도매 가격의 변동성의 예측은 CPP 요금을 적용하는데 중요한 역할을 담당하는 지표로 활용된다. CPP 요금을 적용함으로써 ESP의 재정적인 위험을 최소화하고 수요 탄력성이 반영되어 전기 소비자들과의 관계 향상 또한 유도될 수 있다.[4],[6]

• Journal of Energy Engineering
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• v.7 no.2
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• pp.223-230
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• 1998

Energy consumption statistics have been surveyed for 50 large commercial buildings with high energy consumption records in Seoul City. The buildings were classified into three different groups for data analysis: hospitals, hotels, and department stores/office buildings. The analysis was focused on identifying installed boiler and refrigerator data, energy consumption rates, and energy load distribution throughout the year. Refrigerating electricity was confirmed again to affect most on the formation of the summer electricity load peak as expected. Replacing the refrigerator electricity peak in the summer with co-generation in large commercial buildings. However, overall heat load distribution in a single building is still considered not large enough for economically feasible co-generation and thus joint co-generation for multiple neighboring buildings are preferred and the Electric Power Law and LNG pricing policy should be revised favorably for co-generation in advance.

• Journal of Electrical Engineering and Technology
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• v.10 no.3
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• pp.755-765
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• 2015

A thermostatically controlled load (TCL) can be one of the most appropriate resources for demand response (DR) in a smart grid environment. DR capability can be effectively implemented in a TCL with various intelligent control methods. However, because traditional on-off control is still a commonly used method in a TCL, it is useful to develop a method for adding DR capability to the TCL with an existing on-off controller. As a specific realization of supervisory control for implementing DR capability in the TCL, two methods are proposed - a method involving the changing of a set point and a method involving the paralleling of an identified system without delay. The proposed methods are analyzed through the simulations with an electric heater for different power consumption levels in the on-state. Considerable cost benefit can be achieved with the proposed methods when compared with the case without DR. In addition, the observations suggest that a medium power consumption level, instead of the maximum power, in the on-state should be used for consistently obtaining the cost benefit without severe temperature deviation from the specified temperature range for DR.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.62 no.1
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• pp.21-28
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• 2013

The paper proposes an optimal sizing method of a customer's battery energy storage system (BESS) which aims at managing the electricity demand of the customer to minimize electricity cost under the time of use(TOU) pricing. Peak load limit of the customer and charging and discharging schedules of the BESS are optimized on annual basis to minimize annual electricity cost, which consists of peak load related basic cost and actual usage cost. The optimal scheduling is used to assess the maximum cost savings for all sets of candidate capacities of BESS. An optimal size of BESS is determined from the cost saving curves via capacity of BESS. Case study uses real data from an apartment-type factory customer and shows how the proposed method can be employed to optimally design the size of BESS for customer demand management.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1311-1314
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• 2012

최근에는 LED 조명으로 인해 조명 제어의 유연성이 높아짐에 따라 가정이나 사무공간에서 해당 공간의 목표 조도를 설정하고 현재 내부조도의 상황에 따라 자동으로 조명을 디밍하는 형태로 연구가 이루어지고 있다. 그러나 이러한 제어방식이 현재 주택용 요금제도로 운영 중인 고정요금제에서는 에너지 비용을 감소시키나, 스마트그리드에서 운영될 RTP(Real Time Pricing)에서는 요금 단계에 따라 오히려 에너지 비용이 증가될 수 있다. 이에 본 논문은 실시간 요금 단계에 따라 LED 조명의 목표 조도를 가변적으로 변화시켜 조명 에너지 비용을 최소화하고 사용자의 작업에 적합한 상황별 조도를 자동으로 제어하여 작업자에게 편리함을 제공하고자 한다. 이때 요금 단계에 따른 상황별 최저 및 최고 조도기준은 KSA 3011 및 IES를 참조하며, 최소한의 조명 에너지 사용을 위해 외부 광량을 최대한 활용하여 현재의 시간에 따라 블라인드의 Open/Close를 자동으로 서비스한다. 사용자의 상황은 PIR, Electric Powermeter, Piezoelectric 센서로부터 사용자의 위치, 가전기기 사용 유무, 착석 여부 등을 파악하고, RTP 요금에 따라 하루동안의 조명에 사용된 전력요금을 시뮬레이션한다.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.68 no.3
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• pp.405-415
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• 2019

The considerations of the electrical device' characteristics and the customers' satisfaction have been important criteria for efficient smart grid systems. In general, an electrical device is classified into a non-interruptible device or an interruptible device. The consideration of the type is an essential information for the efficient smart grid scheduling. In addition, customers' scheduling preferences or satisfactions have to be considered simultaneously. However, the existing research studies failed to consider both criteria. This paper proposes a new and efficient smart grid scheduling framework considering both criteria. The framework consists of two modules - 1) A day-head smart grid scheduling algorithm and 2) Real-time sudden demand negotiation framework. The first method generates the smart grid schedule efficiently using an embedded genetic algorithm with the consideration of the device's characteristics. Then, in case of sudden electrical demands, the second method generates the more efficient real-time smart grid schedules considering both criteria. In order to show the effectiveness of the proposed framework, comparisons with the existing relevant research studies are provided under various electricity demand scenarios.

• Journal of the Korean Society of Fashion and Beauty
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• v.4 no.1 s.7
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• pp.4-11
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• 2006

Masstige goods aimed consumers who want the fame and the emotional contents with reasonable price are presented overall and around the life style, from all the fashion items like bag and apparel to car, electric household, food, sports goods, furniture, toys, pets and performance of art, etc. Masstige casual, essentially different from the passed casuals which emphasized only price strategy, appeals to teenagers and young of twenties with a definite brand concept. Therefore masstige casual might be separated from business casual of a target aged thirties. Established celebrity brands have launched masstige brands matching the popularization of prestige goods. Armani Exchange from Armani, Marc by Marc Jacobs from Louis Vuitton are representative ones. DKNY from Donna Karen, MiuMiu from Prada, Paul smith Pink from Paul Smith can be added. These are relatively inexpensive, however the quality, design and shop's atmosphere are more exclusive than general brands. Consumers are over middle class and have a pride and fidelity to those brands. Leading Masstige trend, new luxury brands put the importance to the quality and aims middle class. To succeed in this field, companies should know exactly what consumers want, considering not only functional aspect but also emotional pleasure. Even though masstige has a weakness in pricing, it has to keep brand's proper benefit. Its price range could be wide to be in great demand but has to have elasticity and not to be expanded too much. Masstige industry should do its best not to damage original brand's identity. Forming family brand, like Armani made Georgic Armani, Emporio Armani and Armani exchange, system of parent brand and sub brands would be recommendable. From the launching time, masstige needs the effects to create a sensation and bring it into vogue and offer emotional value to the consumers.

• Information Systems Review
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• v.12 no.1
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• pp.189-207
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• 2010

We applied IT ecosystem analysis to Smart Grid system in this paper and thereby compared various arguments about Smart Grid technologies against the reality of the power generation and distribution in South Korea with a special attention to the power distribution side. Our work attempts to propose policy implications in the government-level based on a firm-level analysis using the framework of the competitive strategy and advantage. The Smart Grid initiative is expected to enhance the efficiency in the power generation and distribution. In addition, the Smart Grid initiative aims at capturing the opportunities in the electric power business such as parts, components, supplies, and system products in the global arena. Prerequisites of smart distribution system include building infrastructure based on smart distribution parts, information systems, communication technologies, and developing various application programs and interfaces that would interact with the consumers. Consumers are expected to play an integral role by changing their consumption patterns in response to dynamic pricing and quality choices enabled by the smart distribution technologies. In order to induce the consumers to participate actively in the program, firms and policy makers should consider providing consumers economic incentives and proper education for better understanding of new technologies. Our work helps policy makers and firm better understand the nature of technology and stakeholders for the successful implementation of smart distribution technologies.