• Proceedings of the KIEE Conference
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• 2000.07a
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• pp.22-24
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• 2000

As a competition is introduced in the electricity supply industry, a congestion problem arises in the transmission network. The congestion causes the transmission cost to increase. One way to decrease the congestion cost is to control the transmission flow through the installation of FACTS(Flexible AC Transmission system). This paper deals with the optimal site of the FACTS for reducing the congestion cost using a shadow price which is one of the economic signals for the systems. Test results show that the site of the FACTS(UPFC) is optimal to minimize the congestion cost by the proposed algorithm.

• Proceedings of the KIEE Conference
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• 2006.07a
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• pp.378-379
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• 2006

향후 나타날 가격 입찰방식 시장(Price-Bidding Generation Pool; PBP)에서는 발전사업자가 전략적으로 제출하는 비용특성에 의해 전력거래가 결정되기 때문에 상대기업의 비용특성을 정확히 안다는 것은 힘들다. 본 연구는 경쟁상황에서 상대사업자의 비용특성을 모르는 경우, 비용특성을 추정하고 추정을 통해 입찰전략을 결정하는 기법을 제안한다. 추정은 시장실적을 이용하여 이루어지며 이득을 최대화시킬 것이라 예상되는 입찰전략을 결정한다. 또한 정확성을 높이기 위해 평균이득 개념을 사용하여 추정을 시도한다.

• Proceedings of the ESK Conference
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• 1997.04a
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• pp.183-189
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• 1997

In order to help develop more comfortable seat cover fabrics, this study primarily surveyed the actual using conditions and the consumers' opinions of the seat cover fabrics. The results of this study were as follows: 1) The colors of seat cover fabric were mostly achromatic. Regarding comsumers' satisfaction on the colors of seat cover fabric, comsumers in their 20's were less satisfied than other age groups. Most unsatisfied consumers prefered bright colors. 2) On the materials of seat cover fabric, synthethic leather and woven were most widely used. Real leather was most prefered due to its luxury and tactile sensation. Woven was secondarily prefered due to its price and tactile sensation. About fourty percent of consumers covered the seat with other cover fabrics because of soil and other reasons. It will be useful if they could choose and change the seat cover fabircs with different materials and colors. 3) When consumers used the seat cover fabrics, the problems that they indicated were not durability and colorfastness but low breathablity during sweating, static electricity, soil, firmness, and cool sensation at the first contact.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.49 no.5
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• pp.220-225
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• 2000

As a competition is introduced in the electricity supply industry, a congestion problem arises in the transmission network. The congestion causes the transmission cost to increase. One way to decrease the congestion cost is to control the transmission flow through the installation of TCSC(Thyrister Controlled Series Capacitor). This paper deals with the optimal site of the TCSC for reducing the congestion cost using a shadow price which is one of the economic signals for the systems. Test results show that the site of the TCSC is optimal to minimize the congestion cost by the proposed algorithm.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.61 no.6
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• pp.804-809
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• 2012

This paper presents the economic impact of consumer participation in Real-Time Pricing (RTP). A computer model was developed to analyze the impact of real-time pricing on the average price, electricity sales, and the social welfare. Four revenue reconciliation alternative were introduced to illustrate the effect of RTP. Finally a case study was done to analyze the consequent impact of the dynamic load profile on the long-term fuel mix, and the results were compared with those of $5^{th}$ national power development plan.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.2259-2260
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• 2008

현재 대한민국 전력공급은 한국전력공사의 독점적 시장지배구조에서 자유 경쟁 전력 공급체제로 나아가려고 한다. 이에 기존의 연구논문들이 발전, 송전, 배전, 영업에 관련된 생산자 입장을 주로 다룬 점에서 착안하여 소비자 입장에서 연구를 해보고자 한다. 전기는 현대사회에서 없어서는 안 될 필수재이므로 소비자 입장에서는 전력 사용량을 줄이기는 힘들다. 본 논문에서는 실시간으로 전력의 가격이 바뀌는 전력경제 시장에서 전력 가격에 따른 소비자의 불편함을 느끼는 정도를 퍼지 이론으로 수식화하여 민감도에 따라 부하 사용의 시간대를 효율적으로 조절하고 또한 전기소비가격을 줄이고 공급자입장에서 완만한 수요 곡선에 따른 안정적인 전력공급을 제공한다. 이를 matlab을 사용하여 결과를 모의한다.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.300-301
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• 2015

Accurate and robust load forecasting model plays very important role in power system operation. In case of short-term electric load forecasting, its results offer standard to decide a price of electricity and also can be used shaving peak. For this reason, various models have been developed to improve accuracy of load forecasting. This paper proposes a newly forecasting model for weather sensitive season including temperature and Cooling Degree Hour(C.D.H) data as an input. This Forecasting model consists of previous electric load and preprocessed temperature, constant, parameter. It optimizes load forecasting model to fit actual load by PSO and results are compared to Holt-Winters and Artificial Neural Network. Proposing method shows better performance than comparison groups.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.52 no.10
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• pp.610-615
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• 2003

With the growing competitive pressure from market participants, utilities, consumer and government, analyses of existing competitive electricity market become more important. The presence of congestion in the transmission system can significantly increase the potential of exercising market power. Since the congestion in the network depends on the several factors, the market power cannot be simply analyzed through the existing indices. This paper presents a systematic analysis on local market power under uniform pricing scheme and provides determining approach of the level of price cap as mitigation measure of the strategic market power.

• Proceedings of the KIEE Conference
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• 2001.07a
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• pp.509-511
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• 2001

In the competitive electricity market, various pricing methods are developed and practiced in many countries. Among these pricing methods, marginal loss factor(MLF) can be applied to reflect the marginal cost of network losses. For the calculation of MLF, power flow method has been used. However, it shows some shortcomings such as necessity of regional reference node, and absence of an ability to consider network constraints. The former defect might affect adversely to the equity of market participants and the latter might generate an inappropriate price signal. To overcome these defects, the utilization of optimal power flow(OPF) is suggested in this paper. 30-bus system is used for the case study to compare the MLF by the power flow and the OPF method for 24-hour dispatching and pricing.

• Proceedings of the Korean Geotechical Society Conference
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• 2002.10a
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• pp.287-294
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• 2002

CAES which is called as a compressed air energy storage was firstly developed at Huntorf, German in 1978. The capacity of that system was 290MW, and it can be treated as a first commercial power plant. CAES has a lot of merits, such as saving the unit price of power generation, averaging the peak demand, improvement of maintenance, enlarging the benefit of dynamic use. According to the literature survey, the unlined rock cavern should be proposed to be a reasonable storing style as a method of compressed air storage in Korea. We decided the hill of the Korea Institute of Geoscience and Mineral Resources as CAES site. If we construct the underground spaces in this site, the demand for electricity nearby Taejon should be considered. So we could determine the capacity of the power plant as a 350MW, This capacity needs a underground space of 200,000㎥, and we can conclude 4 parallel tunnels 550m deep from the surface through the numerical studies, Design parameters were achieved from 300m depth boring job and image processing job.