• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.29 no.1
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• pp.121-127
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• 2015

Recently, LVDC(Low Voltage Direct Current) has been came into the newly spotlight with HVDC(High Voltage Direct Current) and as increasing digital load, DC power supply and high quality of demand is also getting extended. In accordance with the report of EPRI(Electric Power Research Institute), they expect digital load will grow to 50% of whole load in 2020. Subsequently, the use of DC equipment will grow dramatically. Therefore, the careful adoption of LVDC standardization policy is urgently required for the safety of people, prevention of confusion and occupancy of the market.

• Journal of Electrical Engineering and Technology
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• v.4 no.3
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• pp.346-352
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• 2009

The eventual goal of this paper is to help the generating companies and load-serving entities to choose appropriate relative levels of interconnected system versus bilateral trades while considering risk, and economic performance. In competitive power markets, electricity prices are determined by balance between demand and supply in electric power exchanges or bilateral contracts. The problem formulation is bilateral contract incorporated into Multi-area unit commitment with import/export and tie-line constraints. This proposed method considers maximizing own profit or minimize the operating cost among the generating companies in multi-area system. The feasibility of the proposed algorithm has been demonstrated using IEEE system with four areas and experimental results shows that proposed method is reliable, fast and computationally efficient

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.17 no.6
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• pp.54-59
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• 2003

This paper presents hourly system marginal price forecasting of the Korea electric power system using a fuzzy linear regression analysis method. The proposed method is tested by forecasting hourly system marginal price for a week of spring in 2002. The percent average of forecasting error for the proposed method is from 3.14% to 6.10% in the weekdays, from 7.04% to 8.22% in the weekends, and comparable with a artificial neural networks method.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.1165_1166
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• 2009

In recent years, energy prices have soared, which of course have increased costs for railway operators. Simultaneously, the energy market has considerably changed that in most developed countries, it is deregulated, giving railway operators an opportunity to define new ways of using energy. Efficient operation of the railway system is considered as an essential way to energy saving while an efficient management of power level helps to lower the reference subscribed power, giving access to better energy rates. It is studied on the relation between time and force for the energy efficient driving of train in railway when the train is braking according to several slips.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.53 no.1
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• pp.43-55
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• 2004

This paper presents a study on evaluating the reliability indices considering a transmission system. Because successful operation of electric power under the deregulated electricity market depends on transmission system reliability management, quantity evaluation of transmission system reliability is very important. This paper introduces features and operation modes of the Transmission Reliability Evaluation for Large-Scale Systems(TRELSS) Version 6.0, a commercial program made in EPRI, and TranRel-I V3.2, a educational program made in GSNU(GyeongSang National University) for assessing reliability indices of composite power system. The packages access not only bulk but also bus indices for reliability evaluation of composite powers system. The practicality, effectiveness and future works of this methodology are illustrated by demonstrations of two case studies of modified IEEE 25 buses reliability test system using TRELSS and TranRel-I and a brief case study for the KEPCO size system using TranRel-II made in GSNU.

• Proceedings of the KIEE Conference
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• summer
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• pp.11-14
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• 2004

In recent, the importance and necessity of some studies on reliability evaluation of grid comes from the recent black-out accidents occurred in the world. The quantity evaluation of transmission system reliability is very important under competitive electricity environment. The reason is that the successful operation of electric power under the deregulated electricity market depends on transmission system reliability management. This paper introduces features and operation modes of the Transmission Reliability Evaluation for Large-Scale Systems(TRELSS) Version 6.2, a program made in EPRI, for assessing reliability indices of composite power system. The package accesses not only bulk but also buses indices for reliability evaluation of composite powers system. The characteristics of the TRELSS program are illustrated by the case studies using the KEPCO system

• Proceedings of the KIEE Conference
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• 2001.05a
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• pp.65-67
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• 2001

This paper presents an application of UML(Unified Modeling Language) to develop the Transmission Loss Calculation Package (TLCP) and shows a feasibility of UML design for the power system analyzing software. In the rapidly restructuring electric power industry, it is required the development of efficient and transparent transmission pricing mechanism. This should be based to calculate an accurate transmission loss to prompt a fair competition and to give unbiased signals to all the market players. For those reasons, it is necessary to develop a software system for transmission loss calculation. In this paper, we design the TLCP based on UML, and describe using Rational Rose 2000.

• Proceedings of the KIEE Conference
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• 2001.05a
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• pp.169-171
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• 2001

This paper presents a method fer evaluation nodal probabilistic congestion and reliability indices of transmission systems using Monte Carlo simulation methods. Quantitative evaluation of transmission system reliability is very important because successful operation of an electric power system. In the deregulated electricity market depends on transmission system reliability management Monte Carlo methods are often preferable, when complex operating conditions are involved and/or the number of sever events is relatively large. To evaluate the reliability of a real power system, Monte Carlo Methods will be more useful. The characteristics and effectiveness of this methodology are illustrated by the case study using a small test system.

• Proceedings of the KIEE Conference
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• 2000.11a
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• pp.23-25
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• 2000

In recent deregulation and competitive power market environment, electric utilities plan and operate their systems for economic benefit with secure system condition. Flexible AC transmission system(FACTS) technology opens up new opportunities of controlling power and enhancing the usable capacity of present transmission system. This paper presents a method for security constrained optimal allocation of FAETS considering contingencies for the purpose of enhanced system operation. The proposed scheme uses Benders decomposition to account of both corrective and preventive mode.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.780-784
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• 2003

This parer propose a new method to calculate nodal price which is very useful data in electric market under non-optimal operation. To calculate nodal price, we employ marginal cost and power flow, and consider network loss, generator capability, and line capability. The proposed method is applied to the test system and the usefulness is verified.