• Proceedings of the KIEE Conference
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• 2005.07a
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• pp.772-774
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• 2005

Interstate electric power system, as an alternative for energy cooperation under regional economic bloc, has been hotly debated before progressing the restructure in electric power industry and rapidly expanded in many regions after 1990s. Especially, since northeast asia has strong supplementation in resource, load shape, fuel mix etc., electric power system interconnection in this region may bring considerable economic benefits. Moreover, since Korean electric power system has a great difficulty in a geographical condition to interrupt electricity transaction with other countries, it has been expanded as an independent system to supply all demand domestically. As a result, Korean electric power system makes considerable payment for maintaining system security and reliability and expands costly facilities to supply a temporary summer peak demand. Under this inefficiency, if there are electricity transactions with Russia via the North Korea route then economic electric power system operation may be achieved using seasonal and hourly differences in electricity price and/or load pattern among these countries. In this paper, we estimate price cap of transacted electricity via interstate electric power system in northeast asia. For this study, we perform quantitative economic analysis on various system interconnection scenarios.

• Proceedings of the KIEE Conference
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• 2005.11b
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• pp.125-128
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• 2005

This paper illustrates potential applications of POM/OPM/BOR, which are used for deterministic reliability evaluation in the operation mode (operational planning and operating) in Korea Power System. Deterministic reliability evaluation in this paper bases the philosophy of the marginality and the limitation of physical quantity (voltage and thermal in main) under contingency analysis. The POM/OPM/BOR tools have been developed by V&R (Vaimann and Research) in USA. Before case studies, main frame and feature of the tools are introduced in brief. Case studies of the actual power system of Korea are demonstrated for checking the application possibility of POM/OPM/BOR.

• Proceedings of the KIEE Conference
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• 2005.11b
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• pp.162-164
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• 2005

This paper presents an hour-ahead System Marginal Price (SMP) forecasting framework based on a neural network. Recently, the deregulation in power industries has impacted on the power system operational problems. The bidding strategy of market participants in energy market is highly dependent on the short-term price levels. Therefore, short-term SMP forecasting is a very important issue to market participants to maximize their profits. and to market operator who may wish to operate the electricity market in a stable sense. The proposed hybrid neural network is composed of tow parts. First part of this scheme is pattern classification to input data using Kohonen Self-Organizing Map (SOM) and the second part is SMP forecasting using back-propagation neural network that has three layers. This paper compares the forecasting results using classified input data and unclassified input data. The proposed technique is trained, validated and tested with historical date of Korea Power Exchange (KPX) in 2002.

• Proceedings of the KIEE Conference
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• 2006.11a
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• pp.27-29
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• 2006

This paper deals with the application of the concept of POM to analysis of power system behavior and describes a practical method of PRA for KEPCO system. This paper presents not only marginal power flow evaluation of KEPCO system in view point of physical and operation mode by using Physical and Operational Margins (POM Ver. 2.2), which is developed by V&R Energy System Research, but also by using Probabilistic Reliability Assessment (PRA Ver.3.1), which is developed by EPRI. The ability of the method to provide insights on root causes, weak points and regional causes and effects was shown. The approach offers fast and accurate determination of bottlenecks in the transmission network and optimal mitigation measures to alleviate the identified violations.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.55 no.2
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• pp.85-93
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• 2006

Since the SMP(System Marginal Price) is a vital factor to the market participants who intend to maximize the their profit and to the ISO(Independent System Operator) who wish to operate the electricity market in a stable sense, the short-term marginal price forecasting should be performed correctly. In an electricity market the short-term market price affects considerably the short-term trading between the market entities. Therefore, the exact forecasting of SMP can influence on the profit of market participants. This paper presents a new methodology for a day-ahead SMP forecasting using ARIMA(Autoregressive Integrated Moving Average) model based on the time-series method. And also the correction algorithm is proposed to minimize the forecasting error in order to improve the efficiency and accuracy of the SMP forecasting. To show the efficiency and effectiveness of the proposed method, the case studies are performed using historical data of SMP in 2004 published by KPX(Korea Power Exchange).

• The Transactions of The Korean Institute of Electrical Engineers
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• v.64 no.7
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• pp.992-998
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• 2015

The ESS is composed of Battery Package, PCS(Power Conditioning System) Package, BCU(BESS Control Unit). In Jeju smart grid test-bed, we have developed a business model by ESS power system, renewable energy, transportation, such as customers, and have demonstrated above things. We have analyzed the EMS(Energy Management System) model of KPX where manages supply and demand of domestic electrical power system. We modified and launched EMS for microgrid but the cost was expensive and the system was large size. For releasing this system from industry as a whole, it is imperative to develop PMS(Power Management System) for microgrid. However, the cost of EMS for microgrid is expensive, some systems because it is a large development of the all of the first fruits in urgent PMS(Power Management System) for microgrid to be used in industry in general. Therefore, in this paper, we propose the ESS model considering the power systems characteristics and extensibility in korea. and also we propose the PMS to manage the ESS systems.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.1180-1181
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• 2008

불확실한 출력 변화 특성을 갖는 풍력발전 설비가 제주지역에 크게 증가하고 있다. 이러한 증가는 풍력발전 설비가 연계된 선로에 전력의 품질을 떨어뜨릴 수 있는 가능성이 커진다. 성산 풍력발전단지는 2008년도 현재 기준으로 총 67[MW]의 풍력발전 용량이 180[KVA]의 설비용량을 갖는 성산변전소 22.9[kV] 배전선로에 접속된다. 이로 인하여 풍력발전의 출력변화에 따른 성산변전소의 배전선로에 나타나는 전력품질의 변화를 사전에 예측하고 검토할 필요가 있다. 이에 본 논문에서는 전력전자와 전력계통의 여러 가지 모델을 쉽게 해석 할 수 있는 PSCAD/EMTDC 프로그램을 이용하여 제주지역의 전 계통을 모델링하고 제주계통 부하용량이 320[MW] 기저 부하시 급격한 풍력발전 출력변화에 따른 성산변전소의 배전선로에 나타나는 전압과 주파수 변화에 대한 전력품질 특성을 시뮬레이션 결과를 통하여 나타내고자 한다.

• Proceedings of the KIEE Conference
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• 2002.11b
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• pp.259-261
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• 2002

KEPCO(Korea Electric Power Corporation) has been management alone before some time. However through the electrical industry reorganization generation and KPX(Korea Power Exchange) were separated on 2001. A marketing and distribution part will be separated in the future. While many problem for appear in future. how to management for power system network is important. unfortunallity, electrical power industry is starting point right now. Thus, detail data is incomplete for this field and detail research for this field is required with distribution reorganazation. In this paper suggest for customer interruption cost compute method to establish a standard. The standard is need to security operation of power system network. The customer interruption cost compute method necessity of customer interruption cost compute method is minimizing process for total cost. As final total cost compute through the interruption cost compute, we can recognize investment point exactly. We cited foreign survey questions, because exactly matched survey questions for in the country circumstance is not exist. And process to survey performance suggest after modify for match in the country circumstance. Survey questions that suggested fer this paper are classified five categories. This paper suggests to detail survey questions and survey method before survey and suggest to how to customer interruption compute when survey data is ensured. Moreover this paper suggest to average interruption cost compute for residential customer using statistical method.

• Journal of the Mineralogical Society of Korea
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• v.2 no.2
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• pp.100-106
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• 1989

Die Titan-Augite sind die dominierenden Einsprenglings- und Grundmassephasen in allen tephritischen Gesteinen im Kaiserstuhl. Mg-Werte ($Mg/Mg+Fe^{2+}+Mn$) der Pyroxene schwanken von 60-85. Der FATS- und TITS-Anteil nimmt von phonolithischem Basanit und -Tephrit zum fraktionierten phonolithischen Tephrit hin ab. Die Kpx der einzelnen Gesteinsgruppen zeigen auch einen Fraktionier-ungstrend, der durch Abnahme von Si und Zunahme von Al vom phonolithischen Basanit und -Tephrit zum fraktionierten phonolithischen Tephrit gekennzeichnet ist. Der in Alkaligesteinen gewohnlich auftretende $gr{\ddot{u}}ne$ Kern der Px ist Fe-reicher und $Ti-{\ddot{a}}rmer$ als der $hellbra{\ddot{u}}nliche$-farblose Rand. Die $gr{\ddot{u}}nen$ Kerne weisen $gegen{\ddot{u}}ber$ den $hellbr{\ddot{a}}unlichen$ Randern $h{\ddot{o}}here$ $Na/Fe^{+3}$-Verhaltnisse auf.

• Current Photovoltaic Research
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• v.5 no.3
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• pp.100-104
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• 2017

This paper analyzes the correlation between Net Benefit Test (NBT) and System marginal price (SMP), which has a significant impact on the allocation of demand response (DR) resources in resource scheduling and commitment (RSC) process, based on the performance data of the demand resource market which has been established in 2014. Demand resources compete with generation resources in the RSC process, and it is prescribed to use demand resources only when net benefit occurs. Analysis result shows that the larger the SMP than the Net Benefit Threshold Price (NBTP), the more the winning bid of demand response resource was. It is interpreted that the introduction of NBT in DR market is justified. The demand resource market has been steadily growing. It is required to expand the scope of resources up to the small-sized DR, and to expand the functionalities of demand resources not only in the current energy market but also in the reserve market in the future. In order for that, institutional improvements are required.