• Title/Summary/Keyword: Electricity markets

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Analysis of the Economic Impact of the Change in Congestion Management in the Korean Electricity Market (송전 혼잡처리방법 변경이 시장 참여자 수익에 미치는 영향 분석)

  • Joo, Sung-Kwan;Kim, Ji-Hui;Moon, Guk-Hyun
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.22 no.6
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    • pp.134-140
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    • 2008
  • A switch in congestion management nile in an electricity market may have positive or negative impact on the surplus of a market participant. As a number of wholesale electricity markets around the world either have already adopted or plan to implement Locational Marginal Pricing (LMP) for energy and congestion management, it is necessary to study the economic impact of a change in congestion management in the Korean electricity market. However, the impact of congestion management on consumer costs and generator surplus has not been studied for the electricity market in Korea. This paper examines how a change in congestion management affects consumer costs and generator surplus in the Korean electricity market.

A Critique of Designing Resource Adequacy Markets to Meet Loss of Load Probability Criterion

  • Yoon, Yong T.;Felder, Frank A.
    • KIEE International Transactions on Power Engineering
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    • v.3A no.1
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    • pp.35-41
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    • 2003
  • To ensure resource adequacy in restructured electricity markets, policymakers have adopted installed capacity (ICAP) markets in some regions of the United States. These markets ensure that adequate generation exists to satisfy regional Loss of Load Probability(LOLP) criterion. Since the incentives created through ICAP mechanisms directly impact new generation and transmission investment decisions we examine one important factor that links ICAP markets with LOLP calculations;, determining the amount of ICAP credit assigned to particular generation units. First, we review and critique the literature on electric power systems' market failure resulting from demand exceeding supply. We then summarize the method of computing (the LOLP) as a means of assessing reliability and relate this method to ICAP markets. We find that only the expected value of available generation is used In current ICAP markets while ignoring the second and higher order moments, which tends to mis-state the ICAP value of a specific resource. We then consider a proposal whose purpose is to avoid this ICAP assignment issue by switching from ICAP obligations to options. We find that such a proposal may fail to not provide the benefits claimed and suffers from several practical difficulties. Finally, we conclude with some policy recommendations and areas for future research.

A Study on Market Power Mitigation Using Supply Margin Assessment (Supply Margin Assessment를 이용한 도매전력시장의 시장지배력 예방에 관한 연구)

  • Jeong Hae-Seong;Park Jong-Keun;Oh Tae-Kyu
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.54 no.3
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    • pp.139-143
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    • 2005
  • Several methods have been proposed to mitigate the market power in foreign electricity markets. In this paper, Hirfindahl-Hirschman Index(HHI) and supply margin assessment(SMA) are compared based upon the Korean future markets. The results show that SMA is better than HHI to estimate market power because it can reflect congestion and capacity reserve effectively.

CLUSTER ANALYSIS FOR REGION ELECTRIC LOAD FORECASTING SYSTEM

  • Park, Hong-Kyu;Kim, Young-Il;Park, Jin-Hyoung;Ryu, Keun-Ho
    • Proceedings of the KSRS Conference
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    • 2007.10a
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    • pp.591-593
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    • 2007
  • This paper is to cluster the AMR (Automatic Meter Reading) data. The load survey system has been applied to record the power consumption of sampling the contract assortment in KEPRI AMR. The effect of the contract assortment change to the customer power consumption is determined by executing the clustering on the load survey results. We can supply the power to customer according to usage to the analysis cluster. The Korea a class of the electricity supply type is less than other country. Because of the Korea electricity markets exists one electricity provider. Need to further divide of electricity supply type for more efficient supply. We are found pattern that is different from supplied type to customer. Out experiment use the Clementine which data mining tools.

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Analysis of the Influence of Transmission Capacity on the Electricity Market Equilibrium (송전용량이 전력시장 균형에 미치는 영향해석)

  • Nam, Young-Woo
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.23 no.2
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    • pp.182-189
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    • 2009
  • Nash equilibrium is usually used to investigate a generator's strategic bidding in electricity markets. Some literatures show that the transmission constraints may induce no pure strategy equilibrium and make it hard to find the equilibrium. Using an analytical approach to find a mixed strategy Nash equilibrium in electricity market with transmission constraints, we analyze the influence of transmission capacity on the mixed strategy Nash equilibrium. Finally, a simple numerical example is provided to support the claims of this paper.

A Methodological Analysis of Local Market Power and its Application to Korea Electricity Market (송전혼잡에 의한 지역적 시장지배력 분석 기법 및 한국 전력시장에의 적용)

  • Shin Young-Kyun;Lee Dong-jin;Kim Balho H.
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.54 no.1
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    • pp.43-50
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    • 2005
  • The presence of transmission congestion may reduce the market size and split the bulk power system into smaller systems. Consequently, this can be a key factor to the increase in market price. This paper analyzes the effect of exercising local market power on the market price, and derives a range of indices which quantify the degree and incentive of local market power through statistical analysis in an electricity market with uniform pricing scheme. The applicability and effectiveness of the derived indices on competitive electricity markets are demonstrated on the Korea electricity market.

An Investigation Into the Impact of Limiting Carbon Emissions on the Korean Power System and the Electricity Market

  • Kim, Changseob;Park, Hyeongon
    • Journal of Electrical Engineering and Technology
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    • v.12 no.3
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    • pp.1038-1045
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    • 2017
  • To address mounting concerns over global warming, the Paris Agreement was reached in December 2015, which aims to limit the increase in global average temperature. South Korea has set a highly ambitious target to reduce emissions and submitted an Intended Nationally Determined Contribution (INDC). Based on the INDC, we investigated the impact of limiting carbon emissions on the power system and the electricity market in Korea. Through detailed simulations on assumed plausible scenarios, this work highlights a) the effects of different carbon emission targets on the annual carbon emission volumes, generation costs, and carbon price; b) the generation mix changes induced by carbon emission limits; and c) the difference in system marginal price and payments for generator owners that carbon emission constraint creates in electricity markets under three different pricing rules.

Bid-based Direct Load Control Framework Under Electricity Markets (전력시장 환경하에 입찰기반의 직접부하제어 운영방안)

  • Lee, Ho-Chul;Song, Sung-Hwan;Yoon, Yong-Tae
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.3
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    • pp.455-461
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    • 2009
  • This paper proposes Direct Load Control(DLC) operation scheme using a bidding system and the methodology to value proper quantity decided by the DLC program, which is a kind of resources for stabilization of electricity market price during peak times by managing consumer electricity demand. Since DLC program in Korea is based on the contract with the customers participating in this program, it is difficult to anticipate voluntary participation. That is, incentive for participants in DLC program is insufficient. To cope with this point, it is necessary to develop a new market mechanism and market compatible operation scheme for DLC programs. DLC market mechanism is deemed to be equipped with iterative bidding system, independent operation from energy market, and interactive with bidding information on energy market. With this market mechanism, it is important to find the optimal operation point of DLC allowing for the factors of stabilizing the electricity market price and compensating DLC implementation. This paper focuses on the mathematical approaches for the bid-based DLC operation scheme and examines several scenarios for the following technical justifications: 1) stabilization of electricity market price during peak times, 2) elasticity of demand.

Profit-based Thermal Unit Maintenance Scheduling under Price Volatility by Reactive Tabu Search

  • Sugimoto Junjiro;Yokoyama Ryuichi
    • KIEE International Transactions on Power Engineering
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    • v.5A no.4
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    • pp.331-338
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    • 2005
  • In this paper, an improved maintenance scheduling approach suitable for the competitive environment is proposed by taking account of profits and costs of generation companies and the formulated combinatorial optimization problem is solved by using Reactive Tabu search (RTS). In competitive power markets, electricity prices are determined by the balance between demand and supply through electric power exchanges or by bilateral contracts. Therefore, in decision makings, it is essential for system operation planners and market participants to take the volatility of electricity price into consideration. In the proposed maintenance scheduling approach, firstly, electricity prices over the targeted period are forecasted based on Artificial Neural Network (ANN) and also a newly proposed aggregated bidding curve. Secondary, the maintenance scheduling is formulated as a combinatorial optimization problem with a novel objective function by which the most profitable maintenance schedule would be attained. As an objective function, Opportunity Loss by Maintenance (OLM) is adopted to maximize the profit of generation companies (GENCOS). Thirdly, the combinatorial optimization maintenance scheduling problem is solved by using Reactive Tabu Search in the light of the objective functions and forecasted electricity prices. Finally, the proposed maintenance scheduling is applied to a practical test power system to verify the advantages and practicability of the proposed method.

Econometric Study on Forecasting Demand Response in Smart Grid (스마트그리드 수요반응 추정을 위한 계량경제학적 방법에 관한 연구)

  • Kang, Dong Joo;Park, Sunju
    • KIPS Transactions on Computer and Communication Systems
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    • v.1 no.3
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    • pp.133-142
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    • 2012
  • Cournot model is one of representative models among many game theoretic approaches available for analyzing competitive market models. Recent years have witnessed various kinds of attempts to model competitive electricity markets using the Cournot model. Cournot model is appropriate for oligopoly market which is one characteristic of electric power industry requiring huge amount of capital investment. When we use Cournot model for the application to electricity market, it is prerequisite to assume the downward sloping demand curve in the right direction. Generators in oligopoly market could try to maximize their profit by exercising the market power like physical or economic withholding. However advanced electricity markets also have demand side bidding which makes it possible for the demand to respond to the high market price by reducing their consumption. Considering this kind of demand reaction, Generators couldn't abuse their market power. Instead, they try to find out an equilibrium point which is optimal for both sides, generators and demand. This paper suggest a quantitative analysis between market variables based on econometrics for estimating demand responses in smart grid environment.