• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 하계학술대회 논문집 A
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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.

• 대한전기학회논문지:전력기술부문A
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• 제52권7호
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• pp.429-436
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• 2003

This paper presents a new approach for evaluating the transmission marginal loss factors (MLFs) considering the reactive power. Generally, MLFs are represented as the sensitivity of transmission losses, which is computed from the change of the generation at reference bus by the change of the load at the arbitrary bus-i. The conventional evaluation method for MLFs uses the only H matrix, which is a part of jacobian matrix. Therefore, the MLFs computed by the existing method, don't consider the effect of the reactive power, although the transmission losses are a function of the reactive power as well as the active power. To compensate the limits of the existing method for evaluating MLFs, the power factor at the bus-i is introduced for reflecting the effect of the reactive power in the evaluation method of the MLFs. Also, MLFs calculated by the developed method are applied to energy spot markets to reflect the impacts of reactive power. This method is tested with the sample system with 5-bus, and analyzed how much MLFs have an effect on the bidding/offer price, market clearing price(MCP), and settlement in the competitive energy spot market. This paper compared the results of MLFs calculated by the existing and proposed method for the IEEE 14-bus system, and the KEPCO system.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 추계학술대회 논문집 전력기술부문
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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.

• 전기학회논문지
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• 제60권2호
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• pp.257-265
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• 2011

As the competitive market system has been introduced to the electrical power trade, the priority concern would be that the price of electrical power should be reasonable. It is because, when this rule is solid, we can avoid the distortion of competition and assure the greater efficiency in management. LMP(Locational Marginal Price) means marginal price at each bus. This components consist of energy, loss and congestion cost. At this point, the LMP result that is calculated by traditional model is changeable by the location of the slack and can not be used in bilateral Transaction. This paper proposed algorithm is proved its rationality and credibility by comparing the result of the simulation of virtual 6_bus system that is calculated by traditional method, and showed that the LMP components are changed according to the Transaction Strategy. Furthermore, It shows the effect of additional congestion cost on the transmission line that has bottle neck frequently by simulation.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 추계학술대회 논문집 전력기술부문
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• pp.148-150
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• 2005

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. This paper presents a methodology of a day-ahead SMP forecasting using ARIMA(Autoregressive Integrated Moving Average) based on the Time Series. And also we suggested a correction algorithm to minimize the forecasting error in order to improve efficiency and accuracy of the SMP forecasting. To show the efficiency and effectiveness of the proposed method, the numerical studies have been performed using Historical data of SMP in 2004 published by KPX(Korea Power Exchange).

• 전기학회논문지
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• 제67권4호
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• pp.512-521
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• 2018

Islands that is far away from onshore have used internal-combustion engine driving alternators to secure electric power. However, with Paris convention on climate change, there is a growing interest in eco-friendly energy independent island that replaces microgrid(MG) consisting of photovoltaic, wind power, and energy storage system with alternators for internal combustion engines. And also, national emission trading has been implemented, and the price of certified emission reduction(CER) has a influence on system marginal price(SMP). Because, the low cost generation source decides SMP when CER price is low, while the more expensive generation source decides SMP when CER price is high. Therefore, the increasing of CER price has a strong influence on the annualized return of MG independent power producer. Moreover, the fixed RPS price is implemented from 2017, which the increasing of CER price under the fixed RPS price or the variable RPS price affects annualized return differently. In this paper, the annualized return according to CER price is analyzed for large, middle, and small scaled islands, the effect of CER price on the annualized return was confirmed.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년도 추계학술대회 논문집 전력기술부문
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• pp.43-45
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• 2006

Because Cost Based Pool(CBP) has any locational signals for electricity price, there are any locational incentives for construction of new power plant high efficient. in case of Korean electricity power market, this incentives are very important to reduce loss and congestion. This Paper represent the effect of MLF(Marginal Loss Factor) as locational price signal in short period. we investigate mathematically loss reduced effect of MLF and prove to reduce transmission loss using 3bus test system.

• 에너지공학
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• 제15권1호
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• pp.14-22
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• 2006

원자력발전과 신재생에너지발전에 대하여 과학적, 객관적 검토없이 다양한 정책과 주장이 제기되고 있다. 본 연구에서는 국가별 에너지정책을 조사 분석하고 총 34개의 가능한 전원구성 시나리오를 도출하였다. 이들 시나리오가 우리나라 전력정책에 도입될 경우를 가정하여 전력단가를 계산하였다. 전력단가 계산방법은 현재 우리나라 전력시장에서 사용하는 한계가격결정 방법을 사용하였고 발전원별로 표준건설비 및 운영비를 적용함으로써 계산을 단순화하였다. 계산결과 송배전 비용과 사업자의 이윤을 제외한 현행 전원 구성에 대한 전력단가는 평균 22.18원/kWh이고 전원구성비에 따라 19.74에서 164.07원/kWh까지 분포하였다. 원자력발전비율이 증가할수록 전력단가는 낮아졌고 신재생에너지 발전비율이 증가할수록 전력단가는 높아졌다. 주목할 만한 것은 신재생에너지 발전비율이 20%를 넘어서게 되면 값싼 기저발전을 활용할 수 없게 되어 전력수요가 적은 시간대에 전력단가가 오히려 상승하였다.

• 자원ㆍ환경경제연구
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• 제11권2호
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• pp.261-278
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• 2002

Based on the hedonic pricing method, this paper investigates the effect of air quality on the apartment price in Seoul. The empirical results show that both the structural variables such as years of construction, heating system, and size of apartment complex and accessability variables such as distances to subway station and parks provide statistically significant effects on the price of apartment, Especially, the dendity of sulfurous acid gas ($SO_2$) and ozone ($O_3$) in the air, indicating air quality, negatively affect the price of apartment, This implies that as the condition of air quality to become worse, apartment price decreases, Therefore, when the degree of aversion of apartment residents against the air pollution affects the formation of apartment's market price, the MWPT(Marginal Willingness to Pay) in order to improve the air quality 10% has been estimated as 36,000~39,000Won per month.

• 자원ㆍ환경경제연구
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• 제24권4호
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• pp.629-655
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• 2015

국내 발전량의 30% 이상을 차지하는 원자력발전은 기저부하의 안정성 확보 측면에서 전력산업에서 중요한 위치를 차지하고 있다. 본 연구에서는 원자력 발전과 도매전력가격의 관계를 분석하고자한다. 이를 위해 자기회귀시차분포 (ARDL: Autoregressive Distributed Lag Model) 모형과 Granger 인과성을 통해 원자력발전과 전력도매가격 (SMP: System Marginal Price)의 관계를 살펴보았다. 분석결과 단기적 효과는 다르게 나타날 수 있지만 총 효과 (장기효과)로 볼 때 원자력공급량과 SMP는 양(+)의 관계로 나타났다. 일반적인 장기균형식에서 원자력발전용량은 SMP와 양 (+)의 관계인 반면에 시차변수를 포함한 ARDL 모형의 경우 발전용량은 SMP와 음 (-)의 관계로 이론에 부합하는 것으로 나타났다. 인과성 검정결과 원자력발전 공급량은 SMP에 일방향의 Granger 인과성이 있으나 그 역의 관계는 성립하지 않는 것으로 나타났다. 시계열분석을 통하여 원자력발전은 SMP와 밀접한 연관성을 갖고 있음을 발견할 수 있었다.