• Title/Summary/Keyword: Electricity Market

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Development of an Integrated Power Market Simulator for the Korean Electricity Market

  • Hur Jin;Kang Dong-Joo;Moon Young-Hwan
    • KIEE International Transactions on Power Engineering
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    • v.5A no.4
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    • pp.416-424
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    • 2005
  • At present, the Korean electricity industry is undergoing restructuring and the Cost Based-generation Pool (CBP) market is being operated in preparation of a Two Way Bidding Pool (TWBP) market. In deregulated electricity industries, an integrated power market simulator is one of the tools that can be used by market participants and market operators analyzing market behaviors and studying market structures and market codes. In this regard, it is very important to develop an electricity market simulator that reflects market code providing a market operation mechanism. This paper presents the development of an integrated market simulator, called the Power Exchange Simulator (PEXSIM), which is designed to imitate the Korean electricity market considering the various features of the market operating mechanism such as uniform price and constrained on/off payment. The PEXSIM is developed in VB.NET and composed of five modules whose titles are M-SIM, P-SIM, O-SIM, T-SIM and G-SIM interfacing the Access database program. To verify the features and the performance of the PEXSIM, a small Two Way bidding market with a 12-bus system and a One Way bidding market for generator competition will be presented for the electricity market simulations using PEXSIM.

Development of Electricity Market Price Simulator(EMPS) for short term electricity market (단기시장모형 해석을 위한 전력시장가격 시뮬레이터(EMPS) 개발)

  • Hur, Jin;Kang, Dong-Joo;Jung, Hae-Sung;Moon, Young-Hwan
    • Proceedings of the KIEE Conference
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    • 2004.11b
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    • pp.97-100
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    • 2004
  • As the circumstance of the traditional system is changed according to power system deregulation, the simulation tool which should reflect market code providing market operating mechanism is needed to analyze an electricity market. This paper presents the development of Electricity Market Price Simulator for short term(EMPS) that is designed to imitate the Korean electricity market. The EMPS is developed in VB.NET and is composed if three functions that consist of calculating SMP for CBP market, MCP for TWBF market and LMP for LMP-market. To evidence the features and the performance of EMPS, a small two way bidding market with 12-bus system, one way bidding market for generator competition and LMP market with 5-bus system will be presented for the electricity market simulations using EMPS.

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Smart Grid and Its Implications for Electricity Market Design

  • Kim, Seon-Gu;Hur, Seong-Il;Chae, Yeoung-Jin
    • Journal of Electrical Engineering and Technology
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    • v.5 no.1
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    • pp.1-7
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    • 2010
  • Recently, smart grid has been considered a very important new energy delivery technology, and one that can help ensure a cleaner environment by making use of information and communication technology (ICT) in countries around the world. The many technological benefits smart grid offers is expected to bring about a huge change in the electric energy supply chain. In particular, smart grid with advanced ICT is likely to allow market agents to participate in the decision-making process in the restructured electricity industry, easily facilitating Homeostatic Utility Control. In this paper, we examine smart grid as a market externality, and then illustrate issues from the commercial market perspective as it relates to electricity market design. Finally, our paper identifies some of the impacts of smart grid on electricity market design, which may possibly be incorporated into the evolution of the electricity market, thus ensuring market efficiency.

Electricity Market Design for the Incorporation of Various Demand-Side Resources in the Jeju Smart Grid Test-bed

  • Park, Man-Guen;Cho, Seong-Bin;Chung, Koo-Hyung;Moon, Kyeong-Seob;Roh, Jae-Hyung
    • Journal of Electrical Engineering and Technology
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    • v.9 no.6
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    • pp.1851-1863
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    • 2014
  • Many countries are increasing their investments in smart grid technology to enhance energy efficiency, address climate change, and trigger a green energy revolution. In addition to these goals, Korea also seeks to promote national competitiveness, prepare for the growth of the renewable energy industry, and export industrialization through its strategic promotion of the smart grid. Given its inherent representativeness for Korean implementation of the smart grid and its growth potential, Jeju Island was selected by the Korean government as the site for smart grid testing in June 2009. This paper presents a new design for the electricity market and an operational scheme for testing Smart Electricity Services in the Jeju smart grid demonstration project. The Jeju smart grid test-bed electricity market is constructed on the basis of day-ahead and real-time markets to provide two-way electricity transaction environments. The experience of the test-bed market operation shows that the competitive electricity market can facilitate the smart grid deployment in Korea by allowing various demand side resources to be active market players.

Dynamic Effects of Capacity Mechanisms of Electricity Market on the Market Performances (전력시장의 용량 메커니즘이 전력시장 성과에 미치는 동태적 효과)

  • Jang, Dae-Chul;Park, Kyung-Bae
    • Korean System Dynamics Review
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    • v.12 no.4
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    • pp.93-124
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    • 2011
  • The introduction of competition in the generation of electricity has raised the fundamental question of whether markets provide the right incentives for the provision of the capacity needed to maintain system reliability. Capacity mechanisms are adopted around the world to guarantee appropriate level of investment in electricity generation capacity. In this study, we discuss these approaches and analyze the capacity pricing mechanisms from the adequacy perspective. We conclude that the design of capacity mechanism is very important to decrease electricity spot price and increase total electric capacity. Specifically, the constant of capacity pricing mechanism made a difference to the performance of electricity market. However, the slope of capacity price mechanism is better than the constant of that in improving performance of electricity market.

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Development of Market Modeling and Price Simulator(MMPS) Under the .NET Framework (닷넷 환경기반의 시장 모델링 및 가격모의 프로그램 개발)

  • Hur Jin;Kang Dong-Joo;Jung Hae-Sung;Moon Young-Hwan
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.54 no.2
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    • pp.88-96
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    • 2005
  • At present, the Korean electricity industry is undergoing restructuring and the Cost Based-generation Pool(CBP) market is being operated preparing for Two Way Bidding Pool(TWBP) market open. As the circumstance of the traditional system is changed according to power system deregulation, the simulation tool which should reflect market code providing market operating mechanism is needed to analyze an electricity market. This paper presents the development of an unique market simulator, Market Modeling and Price Simulator(MMPS) that is designed to imitate the Korean electricity market considering uniform price. The MMPS is developed in VB.NET and is composed of two modules that consist of market modeling and price simulation interfacing access database program. To evidence the features and the performance of MMPS, a small two way bidding market with 12-bus system and one way bidding market for generator competition will be presented for the electricity market simulations using MMPS.

The effect of DSM(Demand-Side Management) in competitive electricity market (DSM(Demand-Side Management)이 경쟁적인 전력시장에 미치는 영향)

  • Kim, Moon-Young;Baek, Young-Sik;Kim, Jung-Hoon;Song, Kyung-Bin
    • Proceedings of the KIEE Conference
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    • 2000.07a
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    • pp.388-390
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    • 2000
  • The production of electricity and the pattern of consumption in competitive electricity market are changing. The price of electric power in spot market will be varied by the economic electricity availability of generation utilities and electricity consumers. DSM(demand-side management) is a method which provides simultaneously economics to utilities and consumers as main participants in electricity market. In this paper, it is argued that the effect of DSM in competitive electricity market for consumers, generation utilities, and transmission utilities.

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Electricity Price Prediction Model Based on Simultaneous Perturbation Stochastic Approximation

  • Ko, Hee-Sang;Lee, Kwang-Y.;Kim, Ho-Chan
    • Journal of Electrical Engineering and Technology
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    • v.3 no.1
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    • pp.14-19
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    • 2008
  • The paper presents an intelligent time series model to predict uncertain electricity market price in the deregulated industry environment. Since the price of electricity in a deregulated market is very volatile, it is difficult to estimate an accurate market price using historically observed data. The parameter of an intelligent time series model is obtained based on the simultaneous perturbation stochastic approximation (SPSA). The SPSA is flexible to use in high dimensional systems. Since prediction models have their modeling error, an error compensator is developed as compensation. The SPSA based intelligent model is applied to predict the electricity market price in the Pennsylvania-New Jersey-Maryland (PJM) electricity market.

Development of System Dynamics model for Electric Power Plant Construction in a Competitive Market (경쟁체제 하에서의 발전소 건설 시스템 다이내믹스 모델 개발)

  • 안남성
    • Korean System Dynamics Review
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    • v.2 no.2
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    • pp.25-40
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    • 2001
  • This paper describes the forecast of power plant construction in a competitive korean electricity market. In Korea, KEPCO (Korea Electric Power Corporation, fully controlled by government) was responsible for from the production of the electricity to the sale of electricity to customer. However, the generation part is separated from KEPCO and six generation companies were established for whole sale competition from April 1st, 2001. The generation companies consist of five fossil power companies and one nuclear power company in Korea at present time. Fossil power companies are scheduled to be sold to private companies including foreign investors. Nuclear power company is owned and controlled by government. The competition in generation market will start from 2003. ISO (Independence System Operator will purchase the electricity from the power exchange market. The market price is determined by the SMP(System Marginal Price) which is decided by the balance between demand and supply of electricity in power exchange market. Under this uncertain circumstance, the energy policy planners such as government are interested to the construction of the power plant in the future. These interests are accelerated due to the recent shortage of electricity supply in California. In the competitive market, investors are no longer interested in the investment for the capital intensive, long lead time generating technologies such as nuclear and coal plants. Large unclear and coal plants were no longer the top choices. Instead, investors in the competitive market are interested in smaller, more efficient, cheaper, cleaner technologies such as CCGT(Combined Cycle Gas Turbine). Electricity is treated as commodity in the competitive market. The investors behavior in the commodity market shows that the new investment decision is made when the market price exceeds the sum of capital cost and variable cost of the new facility and the existing facility utilization depends on the marginal cost of the facility. This investors behavior can be applied to the new investments for the power plant. Under these postulations, there is the potential for power plant construction to appear in waves causing alternating periods of over and under supply of electricity like commodity production or real estate production. A computer model was developed to sturdy the possibility that construction will appear in waves of boom and bust in Korean electricity market. This model was constructed using System Dynamics method pioneered by Forrester(MIT, 1961) and explained in recent text by Sternman (Business Dynamics, MIT, 2000) and the recent work by Andrew Ford(Energy Policy, 1999). This model was designed based on the Energy Policy results(Ford, 1999) with parameters for loads and resources in Korea. This Korea Market Model was developed and tested in a small scale project to demonstrate the usefulness of the System Dynamics approach. Korea electricity market is isolated and not allowed to import electricity from outsides. In this model, the base load such as unclear and large coal power plant are assumed to be user specified investment and only CCGT is selected for new investment by investors in the market. This model may be used to learn if government investment in new unclear plants could compensate for the unstable actions of private developers. This model can be used to test the policy focused on the role of unclear investments over time. This model also can be used to test whether the future power plant construction can meet the government targets for the mix of generating resources and to test whether to maintain stable price in the spot market.

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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.