• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.343-344
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• 2015

전력산업은 친환경 신재생 에너지 자원의 증대, 국가간 에너지 교류 등 고성능 대용량 전력전자 응용분야 기기의 필요성이 지속적으로 확대되고 있다. 신규 AC 송전선로 건설이 민원 등의 사유로 건설에 장시간 소요되고, 건설단가의 지속적 증가 및 전력전자 설비의 가격하락(HVDC, FACTS 등 특수설비의 국산화 추진) 등으로 AC 송전선로 신규건설 보다는 송전선로 조류제어로 전력계통 유연성 향상이 필요하게 되었으며, 향후 융통전력의 한계, 전력수요 포화 및 Smart Grid 시대를 대비하여 기존 송전선로의 이용을 극대화하는 방향으로 계통계획의 방향 전환이 더욱 급속도로 진행될 전망이다. 본 논문에서는 최첨단 무효전력보상장치 소개와 계통안정화를 위한 전력계통 영향분석을 통해 직 병렬 FACTS의 필요성을 소개하고자 한다.

• Environmental and Resource Economics Review
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• v.23 no.4
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• pp.617-641
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• 2014

Korean electricity market is a Cost-Based Pool (CBP) designed to minimize electricity production cost through cost by providing cost reduction incentives to generators. Generation companies have shown diverse efforts to reduce costs in CBP market such as procuring low-price fuels, installing high efficiency gas turbine and constructing power plants near the heavy-load site. Recently, as a way to improve CBP market, a proposal to exclude no-load cost from System Marginal Price (SMP) and to compensate generators ex post was suggested to Korea Power Exchange. This study analyzes the impact of excluding no-load cost from SMP on the cost reduction incentive of generators. We found that excluding no-load cost from SMP enhances the likelihood of decreasing the cost reduction incentives of LNG combined-cycle generators lying on the price-setting range.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.21 no.10
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• pp.126-133
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• 2007

This paper proposes information technology based data mining to forecast short term power demand. A time-series analyses have been applied to power demand forecasting, but this method needs not only heavy computational calculation but also large amount of coefficient data. Therefore, it is hard to analyze data in fast way. To overcome time consuming process, the author take advantage of universally easily available information technology based data-mining technique to analyze patterns of days and special days(holidays, etc.). This technique consists of two steps, one is constructing decision tree, the other is estimating and forecasting power flow using decision tree analysis. To validate the efficiency, the author compares the estimated demand with real demand from the Korea Power Exchange.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.544-545
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• 2008

본 논문에서는 전력 도매요금(현 전력거래제도에서의 시간대별 계통한계가격) 상승시, 고객의 부하절감을 유도함으로써 사회적 후생을 최대화 할 수 있는 상시부하관리 개념을 제안하였다. 2007년 계통을 대상으로 전력거래 모의프로그램인 P-POOL를 이용하여 경제적 측면에서의 효과를 분석하고 그 결과를 제시하였으며 본 결과는 향후 우리나라에서의 가격기반 부하관리 메카니즘 도입의 기초자료로 활용이 기대된다.

• Proceedings of the KIEE Conference
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• 2003.11a
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• pp.475-478
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• 2003

본 논문에서는 쿠르노 모형을 적용한 양방향입찰 전력 풀시장에서 입찰에 참여하는 발전기가 최대 이익을 얻기 위한 입찰전략으로서 신경회로망의 오차 역전파 알고리즘을 이용하여 최적 입찰발전량과 입찰가격을 수립하는 기법에 관하여 연구한다. 전력시장 환경은 n 개의 발전기들이 참여하는 비협조적 불완전정보 시장으로 설정하고 Bayesian의 조건부 확률이론을 적용하여 상대 발전기들의 발전비용함수와 시장의 수요함수를 추정하여 발전기 상호간 쿠르노-내쉬균형점을 이루는 최적 입찰발전량을 예측한다. 그리고 이익을 극대화시키기 위해 오차 역전파 알고리즘을 이용하여 시장의 가격 탄력성과 쿠르노 시장균형가격에 연결가중치를 조절함으로써 입찰가격이 계통한계가격에 근접하도록 최적 입찰전략을 수립한다.

• 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.

• Journal of Energy Engineering
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• v.11 no.1
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• pp.59-66
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• 2002

The vertically integrated power industry was divided into six generation companies and one market operator, where electricity trading was launched at power exchange. In this environment, the profits of each generation companies are guaranteed according to utilizing strategies of their own generation equipments. This paper presents on generator maintenance scheduling and efficient bidding strategies for generation equipments through the calculation of the contract and the application of each generator cost function based on the past demand forecasting error and market operating data.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.54 no.3
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• pp.144-151
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• 2005

This paper presents a forecasting technique of the short-term marginal price (SMP) using an Artificial Neural Network (ANN). The SW forecasting is a very important element in an electricity market for the optimal biddings of market participants as well as for market stabilization of regulatory bodies. Input data are organized in two different approaches, time-axis and day-axis approaches, and the resulting patterns are used to train the ANN. Performances of the two approaches are compared and the better estimate is selected by a composition rule to forecast the SMP. By combining the two approaches, the proposed composition technique reflects the characteristics of hourly, daily and seasonal variations, as well as the condition of sudden changes in the spot market, and thus improves the accuracy of forecasting. The proposed method is applied to the historical real-world data from the Korea Power Exchange (KPX) to verify the effectiveness of the technique.

• Proceedings of the KIEE Conference
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• 2006.07a
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• pp.365-367
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• 2006

송전망은 전력수송을 가능하게 함으로써, 경쟁적 전력시장을 지지하는 하부구조의 역할을 한다. 하지만 송전망은 여러 제약조건에 의해 수송 한계에 다다를 수 있고 이렇게 공급능력의 한계를 벗어남으로써 발생한 송전혼잡은 전체 계통운영에 있어서 비용 상승을 일으킨다. 본고에서는 송전선로 내 혼잡이 가격에 미치는 영향을 알고 그로 인한 각 모선의 LMP(Locational Marginal Price) 형성에 대해 세부적으로 연구하였다. 그리고 입찰방법을 단순히 이상적인 상창이 아닌 송전 혼잡으로 인해 전력 공급자가 시장지배력을 갖게 되었을 경우에 대하여 적절한 입찰전략의 필요성을 언급하고 가능한 방법을 생각해 보았다.

• Journal of the Korean Data and Information Science Society
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• v.20 no.2
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• pp.283-292
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• 2009

Recently the stable electric power supply is threaten by the rapid development of all the industries consuming a lot of electric power, thus KEPCO is trying to establish the countermeasures to cope with this circumstance of uprising power consumption by running the efficient and flexible 12-month s price policy for the base price and raisin the electric power price remarkably in peak power consumption period to suppress the maximal power demand of consumers. To resolve these problems, this study propose the method calculating hourly CBL based on the hourly amount at non-event using the pattern of the amount of power consumption and propose the operation method of DR Program.