• Title/Summary/Keyword: 계통한계가격

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A case study for determining system marginal price in Korea electricity market (SMP(계통한계가격, System Marginal Price) 결정방식 개선)

  • Hwang, Bong-Hwan;Lee, Ho-Seung;Park, Kyoo-Huyng;Shin, Yong-Son
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.634-635
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    • 2011
  • 국내 전력시장은 발전기별 비용에 근거한 운영체계를 가지고 있다. 특히 각 발전기의 임시발전가격(IGP, Interim Generating Unit Price)은 발전기별 기동비용 및 무부하비용을 평활화하여 시간대별 가격으로 변환하고 증분비를 더함으로써 산정되고 있으며 그 중에서 가장 높은 임시발전가격이 계통한계가격(SMP, System Marginal Price)으로 결정되고 있으나, 발전비용 최소화를 위하여 단시간 가동되는 소규모 발전기의 발전력 배분으로 계통한계가격의 Spike 현상이 종종 발생하고 있다. 이는 수요증가 및 발전력 부족에 의한 영향보다는 발전비용 최소화 구현과정에서의 현상이므로 이를 해결하기 위한 대안을 검토하고 이에 따른 전력시장의 계통한계가격 영향을 검토하였다.

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An Error Correction Model for Long Term Forecast of System Marginal Price (전력 계통한계가격 장기예측을 위한 오차수정모형)

  • Shin, Sukha;Yoo, Hanwook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.6
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    • pp.453-459
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    • 2021
  • The system marginal price of electricity is the amount paid to all the generating units, which is an important decision-making factor for the construction and maintenance of an electrical power unit. In this paper, we suggest a long-term forecasting model for calculating the system marginal price based on prices of natural gas and oil. As most variables used in the analysis are nonstationary time series, the long run relationship among the variables should be examined by cointegration tests. The forecasting model is similar to an error correction model which consists of a long run cointegrating equation and another equation for short run dynamics. To mitigate the robustness issue arising from the relatively small data sample, this study employs various testing and estimating methods. Compared to previous studies, this paper considers multiple fuel prices in the forecasting model of system marginal price, and provides greater emphasis on the robustness of analysis. As none of the cointegrating relations associated with system marginal price, natural gas price and oil price are excluded, three error correction models are estimated. Considering the root mean squared error and mean absolute error, the model based on the cointegrating relation between system marginal price and natural gas price performs best in the out-of-sample forecast.

A study on new & renewable energy capacity factor in Feed-In Tariff fund (신재생에너지 이용률이 발전차액에 미치는 영향에 관한 연구)

  • Jeon, Byung-kyu;Moon, Joon-sang;Oh, Seok-hwan
    • 한국신재생에너지학회:학술대회논문집
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    • 2009.06a
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    • pp.200-203
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    • 2009
  • 현재 발전차액 지원을 받고 있는 신재생에너지 전원은 태양광, 풍력, 수력, 매립가스, 바이오 가스, 연료전지 등 6개 전원이 있다. 신재생에너지 중에서 태양광, 조력, 연료전지, 풍력의 기준가격은 고정가격이며, 폐기물은 변동가격이고, 수력, 매립가스, 바이오가스, 바이오매스는 고정가격과 변동가격 중에서 선택할 수 있도록 되어 있다. 지난 2년간 신재생에너지 발전소 실적 이용률을 기준가격 적용 이용률과 비교해 보면 매립가스(20MW 미만), 바이오가스, 연료전지 이용률은 기준가격 적용 이용률 보다 낮게 나타났으며, 특히 바이오가스는 실적 이용률이 매우낮게 나타났다. 기타 신재생에너지 전원은 실적 이용률이 높게 나타났다. 발전차액(기반기금)은 기준가격에서 계통한계가격을 뺀 금액을 의미하며 고정가격, 변동가격의 요금선택에 따라 발전차액에 미치는 요소들이 달라진다. 고정가격을 선택한 경우는 계통한계가격, 이용률(전력 거래량)이 영향을 미치며 변동가격을 선택한 경우는 이용률만이 발전차액에 영향을 미친다.

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A Study on the Effects of the System Marginal Price Setting Mechanism of the Cost Function in Operating Modes of the Combined Cycle Power Plants in Korea Electricity Market (한국전력시장에서 복합발전기의 운전조합별 비용함수의 계통한계가격(SMP) 결정메커니즘 영향에 관한 연구)

  • Yoon, Hyeok Jun
    • Environmental and Resource Economics Review
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    • v.30 no.1
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    • pp.107-128
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    • 2021
  • It has been recognized that implementing the marginal price mechanism to CBP is not acceptable due to the lack of revenue of the marginal generators. This study shows that it is not the problem of marginal price mechanism but the structural problems originated by the suspension of restructuring, the technical limits of RSC program and inaccuracy of the generation cost estimation method. This study explains the method to calculate the cost function in operating modes of the CC generators and proposes the modeling for the CC generators in RSC program. To implementing the cost function in operating modes could give an opportunity to change the price setting mechanism from average to marginal cost. The price setting mechanism based on the marginal cost will be one of the main points to provide the right price signals and to introduce a real-time and A/S markets to prepare the energy transition era.

Effect of Power Output Reduction on the System Marginal Price and Green House Gas Emission in Coal-Fired Power Generation (석탄화력발전 출력감소가 계통한계가격 및 온실가스 배출량에 미치는 영향)

  • Lim, Jiyong;Yoo, Hoseon
    • Plant Journal
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    • v.14 no.1
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    • pp.47-51
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    • 2018
  • This study analyzed the effect of power output reduction in coal fired power generation on the change of system marginal price and green house gas emissions. Analytical method was used for electricity market forecasting system used in korea state owned companies. Operating conditions of the power system was based on the the 7th Basic Plan for Electricity Demand and Supply. This as a reference, I analyzed change of system marginal price and green house gas emission by reduced power output in coal fired power generation. The results, if the maximum output was declined as 29 [%] to overall coal-fired power plant, system marginal price is reduced 12 [%p] compared to before and decreasing greenhouse gas emissions were 9,966 [kton]. And if the low efficiency coal fired power plant that accounted for 30 [%] in overall coal-fired power plant stopped by year, system marginal price is reduced 14 [%p] compared to before and decreasing greenhouse gas emissions were 12,874 [kton].

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Optimization of Integrated District Heating System (IDHS) Based on the Forecasting Model for System Marginal Prices (SMP) (계통한계가격 예측모델에 근거한 통합 지역난방 시스템의 최적화)

  • Lee, Ki-Jun;Kim, Lae-Hyun;Yeo, Yeong-Koo
    • Korean Chemical Engineering Research
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    • v.50 no.3
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    • pp.479-491
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    • 2012
  • In this paper we performed evaluation of the economics of a district heating system (DHS) consisting of energy suppliers and consumers, heat generation and storage facilities and power transmission lines in the capital region, as well as identification of optimal operating conditions. The optimization problem is formulated as a mixed integer linear programming (MILP) problem where the objective is to minimize the overall operating cost of DHS while satisfying heat demand during 1 week and operating limits on DHS facilities. This paper also propose a new forecasting model of the system marginal price (SMP) using past data on power supply and demand as well as past cost data. In the optimization, both the forecasted SMP and actual SMP are used and the results are analyzed. The salient feature of the proposed approach is that it exhibits excellent predicting performance to give improved energy efficiency in the integrated DHS.

Evaluation of Economic Feasibility of Power Generation System using Waste Woody Biomass in a CFBC Plant (순환유동층연소로에서 폐목질계 바이오매스를 이용한 발전 시스템의 경제성 평가)

  • Kim, Sung-June;Nam, Kyung-Soo;Lee, Jae-Sup;Seo, Seong-Seok;Lee, Kyeong-Ho;Yoo, Kyung-Seun
    • Korean Chemical Engineering Research
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    • v.48 no.1
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    • pp.39-44
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    • 2010
  • Economic feasibility of power generation system using waste woody biomass in a circulating fluidized bed combustor has been investigated. Effects of important variables such as capital investment, cost of waste wood, certified emission reduction(CER), system marginal price(SMP) on the benefit of business have been analyzed. Internal rate of return(IRR) was predicted as 16.67%, which implicates the business is promising based on the assumptions such as SMP of 99 Won/kWh, capital cost of 10.65 billion won, and complimentary providing of waste wood. Major factors affecting the benefit of business were as follows; system marginal price, operational rate, capital investment, expenditure of waste wood, certified emission reduction. In addition, it must be necessary to consider CHP power plant providing steam as one of the means to diversify sales network, for the management of the business risk.

The Influence of Excluding No-load Cost from SMP on Cost Reduction Incentive of Generators (계통한계가격(SMP)에서 무부하비용 제외가 발전사 비용절감 유인에 미치는 영향)

  • Kim, Myung Yun;Cho, Sung Bong
    • 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.

A Study on Electricity Market Equilibrium with Transmission Loss and Application of The Loss Factor (손실을 고려한 전력시장 균형점과 손실계수 적용에 대한 연구)

  • Kim, Sang-Hoon;Lee, Kwang-Ho
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.838-839
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    • 2007
  • 전력산업의 시장구조는 과점형태의 불완전 경쟁의 구조로 해석하는 것이 일반적이다. 또한 전기의 물리적 특성상 송전선로에서는 전력손실이 발생하게 되는데, 본 논문은 과점시장 모델로서 쿠르노(Cournot)모델을 사용하여 손실을 포함한 내쉬 균형점을 해석한다. 지역별 한계가격(Locational Marginal Price ; LMP)와는 달리 계통한계가격(System Marginal Price ; SMP)는 손실에 대한 가격신호를 시장에 반영하기 어렵기 때문에 손실과 함께 한계송전손실계수(Marginal Loss Factor ; MLF)를 적용하여 균형상태의 시장거래가치를 비교분석한다.

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The Impact of Renewable Energy Generation on the Level and Volatility of Electricity Price: The Case of Korea (재생에너지 발전 확대에 따른 전력계통한계가격의 변화)

  • Lee, Seojin;Yu, Jongmin
    • Environmental and Resource Economics Review
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    • v.31 no.2
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    • pp.141-163
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    • 2022
  • This paper empirically analyzes the effect of renewable electricity generation on the System Marginal Price (SMP) in Korea. Using an ARX-GARCHX model with hourly data from 2016 to 2020, we evaluate SMP determinants and merit order effects. As a result, we find that solar and wind power, as well as gas price and total load, play a critical role in the SMP. In particular, solar power reduces the SMP level but raises volatility during peak and off-peak periods. This result implies that SMP may fall as renewable electricity generation increases, leading to a decrease in the profitability of existing power plants and investment in renewables. On the other hand, even if the subsidy of renewable energy increases the burden on the SMP, it can be offset by the merit order effect, which lowers the SMP.