• KIEE International Transactions on Power Engineering
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• v.4A no.4
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• pp.243-253
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• 2004

As deregulation evolves, pricing electricity becomes a major issue in the electric power industry. Participants in the competitive marketplace are able to improve their profits substantially by effectively pricing the electricity. In this paper, game theory is applied to analyze price-clearing in the generation bidding competition with the competition modeled as the non-cooperative and complete information game. The result of this analysis can be useful in understanding spot price-clearing of electricity as well as GENCOs' strategic behavior in the competitive electricity market.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.53 no.1
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• pp.56-66
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• 2004

As deregulation evolves, pricing electricity becomes a major issue in the electric industry. Participants of competitive marketplace are able to improve their profits substantially by adequately pricing the electricity. In this paper, game theory is applied to analyze the price-clearing in the generation bidding competition and the competition is modeled as the noncooperative and complete information. The result of this analysis can be useful in understanding spot price-clearing of electricity and generating entity's strategic behavior in the competitive electricity market.

• KIEE International Transactions on Power Engineering
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• v.5A no.2
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• pp.199-203
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• 2005

This paper proposes the level of price cap in the TWBP(Two- Way Bidding Pool) market in Korea for which the draft of market design has been prepared by KPX. Max - GMCP(Maximum Generation Market Clearing Price) and APC(Administered Price Cap) would be separately applied as individual price caps for a normal period and a Price Capping period in TWBP. The level of price cap is determined for inducing optimal investment in the Korean Electricity Market considering the 'electricity resource baseline plan' published by the Korean government in 2002 for maintaining government-leading resource planning in Korea. In this regard, Max - GMCP is calculated from the equilibrium condition of investment based on reliability standard and fixed cost of the peaking plant. For verifying the propriety of the proposed price cap, this paper compares the proposed value with the estimated VoLL(Value of Lost Load) based on Korea's GDP(Gross Domestic Product).

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.52 no.6
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• pp.340-346
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• 2003

This paper presents a game theory application for an analysis of uniform price auction in a simplified competitive electricity market and analyzes the properties of Nash equilibrium for various conditions. We have assumed that each generation firm submits his bid to a market in the form of a sealed bid and the market is operated as a uniform price auction. Two firms are supposed to be the players of the market, and we consider the maximum generation quantity constraint of one firm only. The system demand is assumed to have a linear relationship with market clearing prices and the bidding curve of each firm, representing the price at which he has a willingness to sell his generation quantity, is also assumed to have a linear function. In this paper, we analyze the effects of maximum generation quantity constraints on the Nash equilibrium of the uniform price auction. A simple numerical example with two generation firms is demonstrated to show the basic idea of the proposed methodology.

• Journal of Electrical Engineering and Technology
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• v.10 no.4
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• pp.1480-1491
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• 2015

In new deregulated electricity market, short-term price forecasting is key information for all market players. A better forecast of market-clearing price (MCP) helps market participants to strategically set up their bidding strategies for energy markets in the short-term. This paper presents a new prediction strategy to improve the need for more accurate short-term price forecasting tool at spot market using an artificial neural networks (ANNs). To build the forecasting ANN model, a three-layered feedforward neural network trained by the improved Levenberg-marquardt (LM) algorithm is used to forecast the locational marginal prices (LMPs). To accurately predict LMPs, actual power generation and load are considered as the input sets, and then the difference is used to predict price differences in the spot market. The proposed ANN model generalizes the relationship between the LMP in each area and the unconstrained MCP during the same period of time. The LMP calculation is iterated so that the capacity between the areas is maximized and the mechanism itself helps to relieve grid congestion. The addition of flow between the areas gives the LMPs a new equilibrium point, which is balanced when taking the transfer capacity into account, LMP forecasting is then possible. The proposed forecasting strategy is tested on the spot market of the Nord Pool. The validity, the efficiency, and effectiveness of the proposed approach are shown by comparing with time-series models

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.52 no.4
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• pp.234-239
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• 2003

In recent decades, many countries have introduced competition in the electricity industry. Now, unit commitment becomes not a problem to be solved by a monopoly company but the one to be tackled by each generation company(GENCO). Its aim has been altered from the global cost minimization to the each GENCO's profit maximization. In this paper, the author proposes the scheme of unit commitment of a GENCO to maximize profit considering the uncertainty of market clearing price. The type of the assumed market is a uniform price market. A genetic algorithm is used for the maximization of the profit.

• Proceedings of the KIEE Conference
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• 2003.07a
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• pp.593-595
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• 2003

The introduction of electricity industry provides generators incentives to recover the related cost through the market. Hence, the generator should sell his/her electricity at high market-clearing price with optimal operation of his/her power plant. The maintenance of power plant is the most critical factor in affecting generators' decision-making. This paper analyzes technique for establishing maintenance schedule reflecting recovery cost and considers differences in monthly load pattern in minimizing LOLP.

• Journal of Korean Society for Quality Management
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• v.25 no.4
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• pp.50-56
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• 1997

Three essential components of self-regulating capital market includes trading clearing and regulation. These three procedures have to be excuted in accurate, prompt, and orderly way so that the markets can provide individual investors with confidence. In this study, we review these procedures and discuss how the quality service of them can be related to investor confidence. We will also discuss the details of regulatory process and especially how to monitor the stock price and volume for the detection of their unusual movements as the first procedure of regulation.

• Proceedings of the KIEE Conference
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• 2003.07a
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• pp.661-663
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• 2003

Electric generation cost in district Heating CHP system has close relationship with the level of heating price. So far, the calculation of CHP generation cost has been based on cost recovery system in which revenue requirement deducted the revenue from heating-sales. The restructuring of electricity industry determines the market-clearing price every hour and made it impossible that the loss due to the above market cost can be attributed to the generation cost. Hence, the loss is compensated by energy subsidy program in public benefit charge. This analysis derives an efficient action plan for future subsidy program.

• Proceedings of the KIEE Conference
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• 2003.07a
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• pp.655-657
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• 2003

Power system deregulation has become a worldwide trend which introduces competition in electric power system in order to realize efficient electricity production and investment. In this regards, it is very important to develop an electricity market simulator so that it is to analyze competitive market and train market operators and market participants. In this paper, we implement the algorithm of determining market clearing price as the first module of unique market simulator. The adopted and suggested algorithm is verified by modelling a simple market with a commercial market simulator(PLEXOS).