• 대한전기학회논문지:전력기술부문A
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• 제54권8호
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• pp.418-428
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• 2005

In this paper, a new probabilistic generation modeling method which can address the characteristics of changed electricity industry is proposed. The major contribution of this paper can be captured in the development of a probabilistic generation modeling considering generator maintenance outage and in the classification of market demand into multiple demand clusters for the applications to electricity markets. Conventional forced outage rates of generators are conceptually combined with maintenance outage of generators and, consequently, effective outage rates of generators are newly defined in order to properly address the probabilistic characteristic of generation in electricity markets. Then, original market demands are classified into several distinct demand clusters, which are defined by the effective outage rates of generators and by the inherent characteristic of the original demand. We have found that generators have different effective outage rates values at each classified demand cluster, depending on the market situation. From this, therefore, it can be seen that electricity markets can also be classified into several groups which show similar patterns and that the fundamental characteristics of power systems can be more efficiently analyzed in electricity markets perspectives, for this classification can be widely applicable to other technical problems in power systems such as generation scheduling, power flow analysis, price forecasts, and so on.

• 전기학회논문지
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• 제59권12호
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• pp.2150-2156
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• 2010

In this paper, we investigate how an electricity capacity market design may encourage generators to exaggerate their available capacity. In order for an analytical approach, a two player game model is introduced. We focus on two pure strategy Nash equilibria: an equilibrium at which generators offer their true capacities, and an equilibrium at which generators offer exaggerated capacities. The latter case is caused by asymmetries of information between players and so called 'moral hazard' in terms of the economics literature. This paper shows that, considering practical electricity markets, the moral hazard case is highly probable. Moreover, it is shown that, with the considered capacity market design in the real world, the better the electricity energy market performs, the higher the risk of moral hazard becomes.

• 전기학회논문지
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• 제58권1호
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• pp.23-27
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• 2009

The joint dispatch of regional electricity markets can improve the overall economic efficiency of interconnected markets by increasing the combined social welfare of the interconnected markets. This paper presents a new decentralized optimization technique based on Augmented Lagrangian Relaxation (ALR) to perform the joint dispatch of interconnected electricity markets. The Block Coordinate Descent (BCD) technique is applied to decompose the inseparable quadratic term of the augmented Lagrangian equation into individual market optimization problems. The Interior Point/Cutting Plane (IP/CP) method is used to update the Lagrangian multiplier in the decomposed market optimization problem. The numerical example is presented to validate the effectiveness of the proposed decentralized method.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년도 제37회 하계학술대회 논문집 A
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• pp.408-409
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• 2006

In this paper, we surveyed researches on the generation maintenance scheduling in competitive electricity markets. Maintenance scheduling can be one of the strategies submitted by market participants in electricity market. Many researches on the maintenance scheduling were preceded with or without transmission system. They have their own specific algorithm for ISO to operate, and control the maintenance schedules. This paper is focused on the survey on the generator and transmission system maintenance scheduling in competitive electricity markets.

• 전기학회논문지
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• 제56권2호
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• pp.260-267
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• 2007

Systematic studies on the dispatch scheduling algorithm can enhance the efficiency of electricity market operation. In addition, as the dispatching policies in competitive electricity markets directly affect the market participants' profits, the dispatch scheduling procedure should be reasonable, systematic, and transparent. In this paper, we propose an unconstrained/constrained pre-dispatch scheduling algorithm and develop corresponding programs applicable to wholesale electricity markets.

• 조명전기설비학회논문지
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• 제22권2호
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• pp.35-41
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• 2008

본 논문에서는 새로운 수요관리 자원으로 대두되고 있는 조광제어의 잠재량과 가치평가, 활용방안을 제시하고자한다. 현재 전력IT기술이 발전하고 있으며, 이는 수요관리 분야에도 많은 기회를 제공하고 있다. 특히 조광제어는 실시간 요금이 변하는 전력시장에서 전력IT 기술을 통해 그 가치를 드러내고 있다. 또한 본 논문에서는 조광자원이 변화하고 있는 전력산업 환경에서, 효율향상뿐 아니라 부하관리 측면에서도 매우 효과적인 수요자원임을 검증코자한다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 제36회 하계학술대회 논문집 A
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• pp.804-806
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• 2005

In this paper, a new probabilistic generation modeling method which can address the characteristics of changed electricity industry is proposed. The major contribution of this paper can be captured in the development of a probabilistic generation modeling considering generator maintenance outage and in the classification of market demand into multiple demand clusters for the applications to electricity markets. Conventional forced outage rates of generators are conceptually combined with maintenance outage of generators and, consequently, effective outage rates of generators are new iy defined in order to properly address the probabilistic characteristic of generation in electricity markets. Then, original market demands are classified into several distinct demand clusters, which are defined by the effective outage rates of generators and by the inherent characteristic of the original demand. We have found that generators have different effective outage rates values at each classified demand cluster, depending on the market situation. From this, therefore, it can be seen that electricity markets can also be classified into several groups which show similar patterns and that the fundamental characteristics of power systems can be more efficiently analyzed in electricity markets perspectives, for this classification can be widely applicable to other technical problems in power systems such as generation scheduling, power flow analysis, price forecasts, and so on.

• 대한전기학회논문지:전력기술부문A
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• 제53권9호
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• pp.521-528
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• 2004

The demise of the native franchise markets and the emergence of competitive markets in electricity generation service is substantially altering the way that operation and planning activity is conducted and is making it increasingly difficult for market participants such as generation firms to prospect the future electricity markets. Traditional generation expansion planning (GEP) problems which centrally determine the least-cost capacity addition plan that meets forecasted demand within pre-specified reliability criteria over a planning horizon (typically 10 to 20 years) is becoming no more valid in competitive market environments. Therefore, it requires to develop a new methodology for generation investments, which is applicable to the changed electric industry business environments and is able to address the post-privatization situation where individual generation firms seek to maximize their return on generation investments against uncertain market revenues. This paper formulates a new generation expansion planning problem and solve it in a market-oriented manner.

• 전기학회논문지
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• 제56권5호
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• pp.848-853
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• 2007

This paper presents a methodology of estimating incomplete information in electricity markets for analyzing the gaming behavior of Generating Companies (GENCOs). Each GENCO needs to model its opponents' unknown information of strategic biddings and cost functions. In electricity markets with complete information, each GENCO knows its rivals' payoff functions and tries to maximize its own profit at Nash equilibriurnl Nli) by acknowledging the rivals' cost function. On the other hand, in the incomplete information markets, each GENCO lacks information about its rivals. Load patterns can change continuously due to many factors such as weather, price, contingency, etc. In this paper, we propose the method of the estimation of the opponents' cost function using market price, transaction quantities. and customer load patterns. A numerical example with two GENCOs is illustrated to show the basic idea and effectiveness of the proposed methodology.

• 자원ㆍ환경경제연구
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• 제17권4호
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• pp.751-774
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• 2008

본 논문은 미국의 전력산업과 천연가스산업이 본격적인 구조변화를 시작한 1999년부터 2001년까지의 자료를 사용하여 제도적인 변화가 시장가격에 미친 영향을 분석한다. 이를 위해 가격에 영향을 미치는 비용과 수요를 제어한 축약형태(reduced forms) 모형의 회귀분석을 사용하여, 본 논문은 제도적인 요소 중에서 구체적으로 어떠한 요소가 가격결정과 긴밀히 연결되어 있는지를 추정한다. 분석결과에 의하면 투자자 소유의 기업의 전력가격이 공기업에 비해서 보다 높은 것으로 추정되었다. 더불어 전기와 천연가스 2개의 상품을 공급하는 기업은 1개의 재화를 제공하는 기업에 비해서 두 재화를 보다 저렴한 가격으로 공급하는 규모의 경제를 가지고 있는 것으로 나타났다. 마지막으로 천연가스 기업간의 합병은 합병이 일어나지 않은 지역에 비해서 가스요금의 수준이 보다 높은 것으로 나타났다.