• Proceedings of the KIEE Conference
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• summer
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• pp.698-700
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• 2004

Electric power restructuring offers a major change to the vertically integrated utility monopoly. Deregulation has had a great impact on the electric power industry in various countries. Bidding competition is one of the main transaction approaches after deregulation. The energy trading levels between market participants is largely dependent on the short-term price forecasts. This paper presents the short-term System Marginal Price (SMP) forecasting implementation using backpropagation Neural Network in competitive electricity market. Demand and SMP that supplied from Korea Power Exchange (KPX) are used by a input data and then predict SMP. It needs to analysis the input data for accurate prediction.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.52 no.6
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• pp.340-346
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• 2003

This paper presents a game theory application for an analysis of uniform price auction in a simplified competitive electricity market and analyzes the properties of Nash equilibrium for various conditions. We have assumed that each generation firm submits his bid to a market in the form of a sealed bid and the market is operated as a uniform price auction. Two firms are supposed to be the players of the market, and we consider the maximum generation quantity constraint of one firm only. The system demand is assumed to have a linear relationship with market clearing prices and the bidding curve of each firm, representing the price at which he has a willingness to sell his generation quantity, is also assumed to have a linear function. In this paper, we analyze the effects of maximum generation quantity constraints on the Nash equilibrium of the uniform price auction. A simple numerical example with two generation firms is demonstrated to show the basic idea of the proposed methodology.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.243-244
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• 2015

Power system has been improved during for a long time by customers demand. Power suppliers has researched the power system component for more electricity transmission. One of the research is apply the thermal conductors in new cable. The operational temperature of thermal conductors is higher than normal aluminum that thermal conductor is composed of aluminum, Zr(zirconium) and etc. Increase of operational temperature is growth of the transmission capability. Power suppliers was concerned about the increase of operation temperature by thermal conductors. Therefore, the thermal conductor has the possibility that expanded application in power system. In this paper analysed effect of thermal conductor in power distribution system.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.205-206
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• 2015

전력소비는 꾸준한 증가를 보이고 있지만 연료가격의 증가와 환경 및 사회적 문제로 발전설비를 늘리는 것은 제한적이다. 따라서 발전설비를 추가하지 않고 전력수급의 안정화를 꾀하기 위해 최근 소비자가 전력시장에 참여하는 수요반응이 주목을 받고 있다. 본 논문은 수용가의 전기 사용료 절감 측면에서 수요반응을 분석해 보았다. 먼저 수용가의 부하패턴을 분석하는 기준을 제시하고 그에 따라 현재 우리나라에서 시행하고 있는 대표적인 수요반응인 계시별 요금제(TOU, Time of Use)에 따라 부하 사용패턴을 재조정함으로써 오는 전기 사용료 감소량과 부하율을 계산하였다.

• Proceedings of the KIEE Conference
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• 2002.11b
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• pp.134-136
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• 2002

In April of 2000, the Korea Power Exchange(KPX) was introduced into Korea electricity market. The purpose of this paper is to describe how the system operator indicates operational risks between the transmission planning and the supply and demand growth to make the market "work" and manage the power system in real time. This paper describes the experiences of kpx about the indication of operational risks including, for example, contingency analysis, voltage profile and fault capacity of three-phase short current.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.3_4
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• pp.403-413
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• 2004

The purpose of this study was to investigate to wearing practices and consumer needs for stockings. 503 subjects were surveyed in 2002. Data were analyzed by frequency, $\chi$$^2$, ANONA(LSD) and factor analysis. The results were as follows; 1) Many subjects considered the colors, but a very few of them considered the components and handling signs when purchase their stockings. These tendencies show meaningful differences according to their ages, jobs and the status of whether they are married or single. The wearing rates of stockings show differences according to their physical characteristics and social demographical variables. 2) They demand that the exact fiber contents and the mixture ratios which the stockings have should be indicated, and also want the sizes of the stockings to be indicated by three steps according to their body sizes, and they ask that the stockings have more various colors. They required that the stockings should have good ventilation, durability, warmth-keeping, hygroscopicity and elasticity in leg parts, and anti static electricity or bacteria.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.53 no.6
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• pp.334-339
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• 2004

In this study, a new UC (Unit Commitment) algorithm is proposed to consider the uncertainty of a daily load profile. The proposed algorithm calculates the UC results with the lower load level than the one generated by the conventional load forecast and the more hourly reserve allocation. In case of the worse load forecast, the deviation of the conventional UC solution can be overcome with the proposed method. The proposed method is tested with sample systems, which shows that the new UC algorithm yields completely feasible solution even though the worse load forecast is applied. Also, the effects of the uncertain hourly load demand are statistically analyzed especially by the consideration of the average over generation and the average under generation. Finally, it is shown that independent power producers participating in electricity spot-markets can establish bidding strategies by means of the statistical analysis. Therefore, it is expected that the proposed method can be used as the basic guideline for establishing bidding strategies under the deregulation power pool.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.29 no.1
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• pp.47-55
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• 2006

This study is to provide information in the development of energy conservation technologies by means of technological demand survey covering energy market and industrial field among energy-related technologies. For this purpose, we check both the present state of energy technologies and trends of social change in Korea, and then combine social needs with major, bottleneck, and essential technologies required for the future. The range of this study covers the field of industry, kiln, furnace, metal, building, transport, and electricity. For case study, valid 120 companies among the 500 companies selected randomly in the energy data-base of Korea institute of energy research (KIER) are considered.

• KIEE International Transactions on Power Engineering
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• v.5A no.1
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• pp.16-21
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• 2005

In this study, a new Unit Commitment (UC) algorithm is proposed to consider the uncertainty of a daily load profile. The proposed algorithm calculates the UC results with a lower load level than that generated by the conventional load forecast method and the greater hourly reserve allocation. In case of the worst load forecast, the deviation of the conventional UC solution can be overcome with the proposed method. The proposed method is tested with sample systems, which indicates that the new UC algorithm yields a completely feasible solution even when the worst load forecast is applied. Also, the effects of the uncertain hourly load demand are statistically analyzed, particularly by the consideration of the average over generation and the average under generation. Finally, it is shown that independent power producers participating in electricity spot-markets can establish bidding strategies by means of the statistical analysis. Therefore, it is expected that the proposed method can be used as the basic guideline for establishing bidding strategies under the deregulation power pool.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.55 no.11
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• pp.453-462
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• 2006

This paper evaluates the reliability of KEPCO system using TRELSS, which is a probabilistic reliability evaluation program for large-scaled power system. In order to reflect the characteristic of KEPCO system, the sensitivity of reliability indices such as LOLP, EDLC, EENS and Energy Curtailment for variations of TRELSS parameter and input data was analyzed. Additionally, probabilistic reliability of KEPCO system reflecting sensitivity analysis results was systematically evaluated and simulated. Finally, maximum acceptable FOR of KEPCO system to satisfy reliability criterion, which meet in process of establishing the basic plan for long-term electricity supply and demand is suggested.