• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.113-114
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• 2007

For restructure of korean power system, we needs research and development concerning RTP and Revenue Reconciliation. In these Implementations the real-time prices are updated at half-hourly or hourly intervals and in no case are the prices spatially differentiated. The implemented rates are based upon marginal generating costs with markups to account for system transmission and distribution costs or other revenue reconciliation needs. This paper analyzes how great is the impact of alternative price markup methods on measures of social welfare and customer responses. A case study and energy sales are also presented.

• Environmental and Resource Economics Review
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• v.19 no.4
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• pp.915-961
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• 2010

This study is concerned with health damages from $SO_2$ under different assumptions on the relationship between air concentrations and their marginal health impacts. $SO_2$ concentration profiles resulting under emission caps, and a system of tradable emission allowances are compared. Using slopes and curvatures of the health response function consistent with evidence in medical literature, emission caps are shown to lead to lower aggregate damages under all considered parameters, an advantage of $26~452 million. The benefit of emission caps over tradable allowances increases with the curvature of the response function, but falls with its slope. The advantage of emission caps in terms of environmental damages is never overturned completely for the considered functional forms. The marginal damage function would have to be steeper than what the current medical evidence suggests for price instruments to outperform emission caps in terms of aggregate damages. With other welfare consequences included-emission abatement costs, consumer and producer surpluses, and government revenue-emission caps always lead to a $3.7~4.1 billion greater measure of social welfare.

• Environmental and Resource Economics Review
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• v.31 no.3
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• pp.393-417
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• 2022

Using hourly SMP data from 2016 to 2020, this paper measures the weekly realized volatility and investigates the main force of its determinants. To this end, we extend the Bayesian variable selection by incorporating the regime-switching model which identifies important variables among a large number of predictors by regimes. We find that the increase in coal and nuclear generation, as well as solar power, reinforce the SMP volatility in both high volatility and low volatility regime. In contrast the increase in gas generation and gas price decrease SMP volatility when SMP volatility is high. These results suggest that the expansion of renewable energy according to 2050 Carbon Neutrality or energy transition policies increases SMP volatility but the increase in the gas generation or reduction of coal generation might offset its impact.

• 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.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.67 no.9
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• pp.1174-1180
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• 2018

In December 2017, the government announced plans to increase the current proportion of renewable energy from 7% to 20% by 2030 through a plan called the Renewable Energy 3020 Implementation Plan. Therefore, the demand for installation of photovoltaic(PV), wind turbine(WT) and battery energy storage system(BESS) is expected to increase. In particular, the system combined with energy storage system(ESS) is expected to take up a large portion since PV and WT can receive high renewable energy certificates(REC) weights when combined with ESS. In this study, we calculate the optimal capacity of the power conditioning system(PCS) and the BESS by comparing the economical efficiency and maximize the efficiency of the PV-BESS system in which the PV and the BESS are connected. By analyzing the system marginal price(SMP) and REC, it maximize profits through application of REC weight 5.0 and optimal charge-discharge scheduling according to the SMP changes.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.61 no.6
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• pp.791-796
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• 2012

This paper presents the various analysis of the power system for operating the new SIHWA tidal power plant. In the analysis of the power system, summer load condition of 2011 is used. Especially, power flow, fault current, voltage and contingency of SIHWA tidal power plant area are analyzed by using PSS/E and there is no problem for the dynamic stability simulation. The new SIHWA tidal power plant is located in near metropolitan area where about 43% amount of the system load is consumed. Therefore, transmission losses are reduced. In addition, system marginal price can be lowered by generating the new SIHWA tidal power plant. The generation pattern of the SIHWA tidal plant is analyzed and the changes of generation are presented for various water levels by control of the rotor angle alpha and beta in water wheel generator.

• Journal of the Korean Solar Energy Society
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• v.31 no.6
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• pp.23-31
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• 2011

The wind energy is one of the most prospective resources in renewable energy. However, the WTGS shouldn't be installed indiscriminately because the power system can be negatively influenced by a variable and uncertain nature of the wind energy. It is the reason why it has to be limited to install the WTGS thoughtlessly mentioned above that support the importance of the maximum penetration limit of wind power. It may required that power system operators suggests a new way of power system operation as percentage of the WTGS increase in the existing power system. The wind power is fixed in a limited area, so using rate of the wind power will be increased by installing additional WTGS. In this paper, we have studied on economic evaluation of the wind capacity increased by restricting the output of the WTGS as the way to increase the wind capacity.

• Proceedings of the KIEE Conference
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• 2007.11b
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• pp.234-236
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• 2007

전력산업 구조개편에 따라 도입된 새로운 전력시장환경하에서 전력시장가격(SMP)은 시장참여자에게 있어 기존사업 운영 및 신규투자에서의 의사결정을 하는데 가장 중요한 요소로 작용하게 된다. 이에, 본 논문에서는 전력시장 시뮬레이션 모형인 P-Pool 모형을 활용하여 제3차 전력수급기본계획에 기준한 장기 전력시장가격(2007-2020)을 전망하고 이를 시장정보로 제공함으로써 향후 잠재적 시장참여자의 의사결정을 돕고자 한다.

• 한국신재생에너지학회:학술대회논문집
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• 2009.06a
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• pp.208-211
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• 2009

제4차 전력수급기본계획(2008-2022)과 제3차 신 재생에너지 기술개발 및 이용.보급계획에 의거하여 전력산업기반기금을 통해 우선 구매되는 풍력발전이 계통한계가격(SMP, System Marginal Price)에 미치는 영향을 점검하였다. 제4차 전력수급기본계획(2008-2022)에서 향후의 전원설비건설계획과 전력수요를 참고하고, 제3차 신 재생에너지 기술개발 및 이용 보급계획에 의거, 풍력발전보급계획을 반영하였다. 발전변동비의 변화는 미래의 화석연료변동에 따를 것으로 보아 명목상승률 3%, 6%, 그리고 8%의 경우를 검토하였다. 현재는 풍력발전용량이 전체발전용량에 비해 미미해서 SMP에 큰 변화를 가져다주지 못하고 있지만 2014년에는 SMP가 결정되는 구간이 LNG발전기에서 유연탄발전기로 옮겨감에 따라 SMP차이가 최대 20.02[\/KWh](발전 비용 명목 상승률8%)에 달하다가 2020년에는 다시 0[\/KWh](발전비용 명목상승률8%)으로 줄어드는 것으로 분석되었다.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.50 no.6
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• pp.259-264
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• 2001

The electric utility industry around the world is undergoing a revolutionary transition from vertically integrated monopoly structures to a competitive structures. Competition in an open transmission access(OTA) makes the market participants access easily the transmission system in a non-discriminatory and equitable manner. The competitions of suppliers and customers make the electric market price change every hour. This paper presents a web program in the internet environment with a function of optimal power flow(OPF) calculation. The Web program gives the nodal marginal cost and the congestion charge using the shadow prices resulted from OPF. This web program is realized by a Perl and JAVA languages, and using the common gateway interface(CGI).