• Title/Summary/Keyword: Electricity price

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전력시장 소매가격의 규제가 사회후생에 미치는 영향

  • Kim, Hyeon-Suk;Lee, Su-Jin;Lee, Jeong-In
    • Environmental and Resource Economics Review
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    • v.21 no.1
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    • pp.93-127
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    • 2012
  • We estimate how much KEPCO can save their loss and how much social welfare can be increased by applying the real-time pricing instead of current regulated retail price in the electricity market in order to analyze the problem of the regulated retail price which is fixed below the marginal cost. We estimate the demand functions of peak time and off-peak time in summer (June to August) and winter (December to February). We construct the supply function based on hourly step-wise linear marginal cost functions, too. We find that the increase of social welfare will be 67 billion won in summer if the fixed retail price is changed into the real-time pricing scheme. The total 705 billion won will be transferred from consumer surplus to producer surplus and the rest (67 billion won) will be saved from the reduction of deadweight loss among KEPCO's loss. In winter, the increase of social surplus will be 225 billion won and 1,174 billion won of KEPCO's loss will be transferred from consumer surplus. As a result, we conclude that the regulation of the retail price in the electricity market induces the social welfare loss and KEPCO suffers a huge loss.

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A Study on the Feasibility Evaluation of Overseas Wind Power Projects with RETScreen Software (RETScreen를 활용한 풍력발전사업의 투자 적절성 평가 사례 연구)

  • Lee, Ju-Su;Choi, Bong Seok;Lee, Hwa-Su;Jeon, Eui Chan
    • Journal of Climate Change Research
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    • v.4 no.2
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    • pp.105-114
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    • 2013
  • Recently, foreign direct investment of Korea has increased significantly. Foreign direct investment is motivated by various reasons and renewable energy investments in foreign countries can be performed by many causes. Korean companies can enjoy the export of products, related EPC contracts, acquisition of the knowledge of the project management technique, pre-occupying effect of the market and profit itself. Wind power projects have biggest share in the investment amounts among the renewable energy business. So, in this study, one wind farm project was selected and supposed to be invested in China, USA, Germany and UK at the same time and the effect of electricity price, corporate income tax, inflation rate and interest rate of debt were analyzed. The result showed that investing in Germany is most profitable because of the highest electricity price and electricity price and debt interest rate are the most sensitive factors for IRR. This approach would be helpful to make decisions in investing foreign wind power projects.

Estimating the Switching Cost in the Korean Residential Electricity Market Using Discrete Choice Model (이산선택모형을 이용한 주거용수용가의 전력서비스 전환비용 추정)

  • Lee, Jongsu;Lee, Dongheon;Lee, Jeong-Dong;Park, Yuri
    • Environmental and Resource Economics Review
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    • v.13 no.2
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    • pp.219-243
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    • 2004
  • Generally, electricity market has monopoly market structure because of need of enormous investment for infrastructure. However, the introduction of competition in network industry as electricity is a tendency of the world with decreasing the effects of economy of scale due to the advancement of technology. Now, electricity industry restructuring is in progress but the competition in electricity retail market is not in force yet in Korea. Whether a effective competition exist or not is very important to policy decision maker who drive restructuring, but there are small numbers of quantitative researches on that. In this study, we estimated the effectiveness of competition in the electricity retail market through switching costs. If switching costs are high, consumers actually can be locked in incumbent firm in spite of introduction of competition. Therefore switching is a critical factor to determine effectiveness of competition and to estimate the size of switching costs quantitatively can proffer the information about whether the competition in the electricity retail market is effective or not in the future. We estimated switching costs using consumer' stated-preference data by conjoint analysis. In according to estimation results, the cost of switching process is not so high, but the relative brand loyalty of an incumbent company is significantly high. And the price is considered as the most important factor choosing an electric service commodity. Based on the empirical results, it is possible to analyze the relationship between suppliers' competitiveness resulted from management efficiency and customers' switching possibilities. The paper therefore provides guidance for suppliers in deciding to enter into retail competition and for policy makers in introducing retail competition. And it has a significance of estimating the switching costs directly.

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Analyzing the impact of increase in energy price on the general price level (에너지원별 가격조정의 물가파급효과 분석)

  • Lim, Seul-Ye;Song, Tae-Ho;Yoo, Seung-Hoon
    • Journal of Energy Engineering
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    • v.22 no.4
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    • pp.376-385
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    • 2013
  • There are conflicts about energy price increase among government, producer, and consumer. The supplier insists on price increase for escaping running a deficit and business continuity, but the consumer concerns about worsening profitability and price rise. This study investigates the effects of energy rate increase on national economy using input-ouput(I-O) analysis. This study attempts to analyze the effects of national economy due to Coke and hard-coal, Naphtha, Gasoline, Kerosene, Light oil, Heavy oil, Liquefied petroleum gas, Electric utilities, Manufactured gas supply and Steam and hot water supply (using input-output table for the year 2011, Korea.) The results of the sectoral price changes due to a 10% increase in energy price that is obtained from the Leontief price model are presented in article. The result of this analysis is presented: The impact of the 10% increase in electricity rate on the general price level is estimated to be 0.2196%. In case of Kerosene, the impact is 0.1222%. It shows that Electric utilities are approximately 18 times larger price inducing effect as Kerosene. Also, this study indicates 3 years results sequentially to make it possible to observe trend. Then, study suggests balancing price by making each energy source adjusted.

A Genco's Self-Scheduling Under Uncertainties of Electricity Price and Emission Price (전력 가격 및 탄소배출권 가격의 불확실성을 고려한 발전사업자의 셀프스케쥴링)

  • Kim, Wook-Won;Lyu, Jae-Kun;Park, Jong-Keun
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.598-599
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    • 2011
  • Cap and Trade 제도 하에서 발전사업자는 탄소배출권 가격의 불확실성이라는 새로운 위험에 노출이 된다. 따라서 발전사업자가 전일 셀프스케쥴링을 실시함에 있어 전력 가격의 불확실성 뿐 아니라 탄소배출권 가격의 불확실성 또한 고려할 필요가 있다. 이에 본 논문에서는 전력 가격과 탄소 배출권 가격의 불확실성을 모두 고려한 발전사업자의 전일 셀프스케쥴링 문제를 고려하였다. 탄소배출권 시장의 거래상당 부분이 발전사업자에 의해 이루어지므로 전력 가격과 탄소 배출권 가격의 상관관계를 고려하여 셀프스케쥴링 문제를 정식화 하였다. 셀프스케쥴링의 결과로 나온 발전사업자의 기대수익과 기대수익의 변동성은 발전사업자의 위험회피정도에 따라 달라짐을 확인할 수 있었다.

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Optimal Generation Asset Arbitrage In Electricity Markets

  • Shahidehpour Mohammad;Li Tao;Choi Jaeseok
    • KIEE International Transactions on Power Engineering
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    • v.5A no.4
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    • pp.311-321
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    • 2005
  • A competitive generating company (GENCO) could maximize its payoff by optimizing its generation assets. This paper considers the GENCO's arbitrage problem using price-based unit commitment (PBUC). The GENCO could consider arbitrage opportunities in purchases from qualifying facilities (QFs) as well as simultaneous trades with spots markets for energy, ancillary services, emission, and fuel. Given forecasted hourly market prices for each market, the GENCO's generating asset arbitrage problem is formulated as a mixed integer program (MIP) and solved by a branch-and-cut algorithm. A GENCO with 54 thermal and 12 combined-cycle units is considered for analyzing the proposed formulation. The proposed case studies illustrate the significance of simultaneous arbitrage by applying PBUC to multi-commodity markets.

Development of SMP Forecasting Method Using ARIMA Model (ARIMA 모형을 이용한 계통한계가격 예측 방법론 개발)

  • Kim, Dae-Yong;Lee, Chan-Joo;Park, Jong-Bae;Shin, Joong-Rin;Chun, Yeong-Han
    • Proceedings of the KIEE Conference
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    • 2005.11b
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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).

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Economic Analysis of Various Residential Geothermal Heat Pump System Capacities (주택용 지열히트펌프 시스템의 용량 변화에 대한 경제성 비교 분석)

  • Lee, Chung-Kook;Suh, Seung-Jik;Kim, Jin-Sang
    • Journal of the Korean Society for Geothermal and Hydrothermal Energy
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    • v.7 no.2
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    • pp.1-9
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    • 2011
  • Geothermal heat pumps are known as the most efficient and environment-friendly heating and cooling system, and are also gaining acceptance in buildings. Building energy simulation program, EnergyPlus is used to calculate the energy consumption of residential buildings. This simulated energy consumption is essential for accurate economic analysis. Residential buildings with geothermal heat pumps have complex energy price structure. Electricity rates for residential buildings increase rapidly as the monthly use increases. This complex energy price structure makes the economic analysis complicated. The purpose of this study is to conduct economic comparison of residential geothermal heat pumps and provide a feasible approach in finding their economically feasible capacity.

A Study on the Demand Modelling for District Cooling Energy Source (지역냉방 열원의 수요모형에 관한 연구)

  • Kim, Jin Hyung;Choi, Byung Ryeal
    • Environmental and Resource Economics Review
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    • v.11 no.4
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    • pp.633-657
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    • 2002
  • This study presents a demand modelling for landfill gas, which is used as alternative energy source for district cooling business. By analyzing the cost minimizing behavior of producer facing with three alternative energy sources such as electricity, cooling heat water, and gas, a demand function for landfill gas is derived from the optimal operating time of gas fired production facility, and estimated using unpublished data, which are associated with Seoul city's development plan for Sang-am area. The estimation results repeals that Seoul City could supply the land-fill gas of 13.76 million cubic meters each year at the price of about 16 won per cubic meters. However, if the investment costs associated with installation of gas collecting facilities are treated as sunk costs, annual amount of gas supplied is expected to increase to 14.22 million cubic meters at a lower unit price of 14.76 won.

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A Study of Supplier's Bidding Strategies by Piecewise Demand Function (전력 수요함수에 따른 공급자의 입찰전략 연구)

  • Cho, Cheol-Hee;Choi, Seok-Keun;Lee, Kwang-Ho
    • Proceedings of the KIEE Conference
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    • 2003.07a
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    • pp.615-617
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    • 2003
  • In electricity market with a imperfect competition, participants make plans of biddings and transaction strategies to maximize their own profits. The market price and the quantity are determined by bidding systems and market demands. Practically the characteristics of power demand have rather two forms; elastic region and inelastic region, than constant slope elasticity. Furthermore the price cap in the market can be modelled as a region of perfect elasticity in the demand function. This paper analyses supplier's bidding strategies which are reflected the characteristics of practical demand. Equilibrium strategies are solved by using the Bertrand model and payoff matrices.

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