• Title/Summary/Keyword: Locational Marginal Pricing

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A New Approach to Calculation of the Components of Locational Marginal Price (모선별 한계가격의 구성요소 산정 기법)

  • Lee Ki-Song;Jeong Yun-Won;Shin Joong-Rin;Kim Jin-Ho;Park Jong-Bae
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.55 no.8
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    • pp.341-350
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    • 2006
  • This paper presents a new methodology to draw the components of locational marginal price (LMP) in electricity market. Recently, the changing environments surrounding electricity industries resulted in the unbundled services provided by electricity market players, which may require the new pricing mechanisms based on the LMP. The changed pricing mechanisms will provide the price signals of time and location to the market participants. Most of the existing studies of LMP are based on the Lagrangian multipliers as shadow prices to evaluate the equivalent values of constraints or factors for security, reliability and quality. However, the shadow prices cannot provide enough information for components of LMP. In this paper, therefore, we proposed a new approach that LMP is divided into three components. To do this, we first present the method for shadow prices calculation and then break down LMP into a variety of parts corresponding to the concerned factors. The proposed approach is applied to 5-bus and modified IEEE 14-bus sample system in order to verify its validity.

A Study on the Monitoring of Market Power using Contingent Transmission Rights in Competitive Electricity Markets (경쟁적 전력시장에서 Contingent Transmission Rights을 이용한 지역적 시장지배력 감시방안)

  • Park, Jung-Sung;Han, Seok-Man;Kim, Bal-Ho
    • Journal of Energy Engineering
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    • v.15 no.4 s.48
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    • pp.256-276
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    • 2006
  • Transmission congestion is one of the key factors to local market power in competitive electricity markets. Financial transmission rights provide the financia] protection to their holders by paying back the congestion rent. A variety researches have shown that the existing trading mechanisms on transmission right can exacerbate market power. This paper proposes an alternative methodology in mitigating the local market power using the Contingent Transmission Rights on the locational marginal pricing scheme. The proposed methodology was demonstrated with the Optimal Power Flow.

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 Linearized Transmission Model Based Market Equilibrium In Locational Pricing Environments

  • Joung, Man-Ho;Kim, Jin-Ho
    • Journal of Electrical Engineering and Technology
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    • v.2 no.4
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    • pp.494-499
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    • 2007
  • In this paper, we have investigated how transmission network constraints can be modeled in an electricity market equilibrium model. Under Cournot competition assumption, a game model is set up considering transmission line capacity constraints. Based on locational marginal pricing principle, market clearing is formulated as a total consumers# benefit maximization problem, and then converted to a conventional optimal power flow (OPF) formulation with a linearized transmission model. Using market clearing formulation, best response analysis is formulated and, finally, Nash equilibrium is formulated. In order for illustration, a numerical study for a four node system with two generating firms and two loads are presented.

A Study on the Mitigation of Market Power using Contingent Transmission Rights in Competitive Electricity Markets (경쟁적 전력시장에서 송전권을 이용한 지역적 시장지배력 완화방안)

  • Park, Jung-Sung;Chung, Kooh-Hyung;Kim, Bal-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.2
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    • pp.268-276
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    • 2007
  • Transmission congestion is one of the key factors to local market power in competitive electricity markets. Financial transmission rights provide the financial protection to their holders by paying back the congestion rent. A variety researches have shown that the existing trading mechanisms on transmission right can exacerbate market power. This paper proposes an alternative methodology in mitigating the local market power using the Contingent Transmission Rights on the locational marginal pricing scheme. The proposed methodology was demonstrated with the Optimal Power Flow.

Decision-Making of Determining the Start Time of Charging / Discharging of Electrical Vehicle Based on Prospect Theory

  • Liu, Lian;Lyu, Xiang;Jiang, Chuanwen;Xie, Da
    • Journal of Electrical Engineering and Technology
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    • v.9 no.3
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    • pp.803-811
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    • 2014
  • The moment when Electrical Vehicle (EV) starts charging or discharging is one of the most important parameters in estimating the impact of EV load on the grid. In this paper, a decision-making problem of determining the start time of charging and discharging during allowed period is proposed and studied under the uncertainty of real-time price. Prospect theory is utilized in the decision-making problem of this paper for it describes a kind of decision making behaviors under uncertainty. The case study uses the parameters of Springo SGM7001EV and adopts the historical realtime locational marginal pricing (LMP) data of PJM market for scenario reduction. Prospect values are calculated for every possible start time in the allowed charging or discharging period. By comparing the calculated prospect values, the optimal decisions are obtained accordingly and the results are compared with those based on Expected Utility Theory. Results show that with different initial State-of-Charge ($SoC_0$) and different reference points, the optimal start time of charging can be the one between 12 a.m. to 3 a.m. and optimal discharging starts at 2 p.m. or 3p.m. Moreover, the decision results of Prospect Theory may differ from that of the Expected Utility Theory with the reference points changing.