• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 하계학술대회 논문집 A
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• pp.698-700
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• 2004

Electric power restructuring offers a major change to the vertically integrated utility monopoly. Deregulation has had a great impact on the electric power industry in various countries. Bidding competition is one of the main transaction approaches after deregulation. The energy trading levels between market participants is largely dependent on the short-term price forecasts. This paper presents the short-term System Marginal Price (SMP) forecasting implementation using backpropagation Neural Network in competitive electricity market. Demand and SMP that supplied from Korea Power Exchange (KPX) are used by a input data and then predict SMP. It needs to analysis the input data for accurate prediction.

• KIEE International Transactions on Power Engineering
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• 제3A권1호
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• pp.42-46
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• 2003

The economic operation of a utility in a deregulated environment brings about optimization problems different from those in vertically integrated one［1］. While each utility operates its own generation capacity to maximize profit, the market operator (or system operator) manages and allocates all the system resources and facilities to achieve the maximum social welfare. This paper presents a sequential application of non-cooperative and cooperative game theories in analyzing the entire power transaction process.

• KIEE International Transactions on Power Engineering
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• 제11A권4호
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• pp.39-44
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• 2001

As electric power systems have been moving from vertically integrated utilities to a deregulated environment, the charging of reactive power management is a new challenging them for market operators. This paper proposes a new methodology to compute the costs of providing reactive power management service in a competitive electrical power market. The proposed formulation, which is basically different from those shown in the literature, consists of two parts. One is to recover investment capital costs of reactive power supporting equipment based on a reactive power flow tracing algorithm. The other is to recover operational costs based on variable spot prices using the optimal power flow algorithm. The charging shapes resulted from the proposed approach exhibit a quite good meaning viewed from a practical sense. It turns out that reactive power charged are mostly due to recovery of capital costs and slightly due to recovery of operational costs. The methods can be useful in providing additional insight into power system operation and can be used to determined tariffs of a reactive power management service.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2005년도 학술대회 논문집
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• pp.119-124
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• 2005

The deregulation of energy market, together with structure reorganization of vertically integrated companies in electrical utility requires efficient and reliable substation automation system. The problem of non-standards where other countries suffer through the SA points could be settled using IEC 61850 and hereby the coming SAS project can realize the system that characterize the telecommunication standards and function integration.

• 경영과학
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• 제17권1호
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• pp.117-134
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• 2000

Pubilc utility industries including the electric utility industry are facing a new stream of privatization com-petition with the private sector and deregulation. The necewssity to solve now and in the future power supply and demand problems has been increasing through the sophisticated generation expansion plan(GEP) approach con-sidering not only KEPCo's supply-side resources but also outside resources such as non-utility generation(NUG) demand-side management (DSM). Under the environmental situation in the current electric utility industry a new approach is needed to acquire multiple resources competitively. This study presents the development of a modified electric generation expansion analysis system(EGEAS) model with avoided cost based on the existing EGEAS model which is a dynamic program to develope an optimal generation expansion plan for the electric utility. We are trying to find optimal GEP in Korea's case using our modified model and observe the difference for the level of reliabilities such as the reserve margin(RM) loss of load probability(LOLP) and expected unserved energy percent(EUEP) between the existing EGEAS model and our model. In addition we are trying to calculate avoided cost for NUG resources which is a criterion to evaluate herem and test possibility of connection calculation of avoided cost with GEP implementation using our modified model. The results of our case study are as follows. First we were able to find that the generation expansion plan and reliability measures were largely influenced by capacity size and loading status of NUG resources, Second we were able to find that avoided cost which are criteria to evaluate NUG resources could be calculated by using our modified EGEAS model with avoided cost. We also note that avoided costs were calculated by our model in connection with generation expansion plans.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 하계학술대회 논문집 A
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• pp.667-669
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• 2003

Since the restructuring in electricity industry, single utility company, KEPCO, was being unbundled horizontanly and vertically, which resulted in 6 generation companies. Hence, electricity statistics system leaded by KEPCO is no longer efficiently sustainable. By introduction of electricity market, the importance of statistical information is getting higher and higher. From now on, the leading role played in statistical system in electricity field should be switched from KEPCO to government. This paper looks into change in statistical work driven by electricity and provides alternatives applicable to new electricity market. In addition, this paper provides new standard form for the collection of statistical data and construction of statistical system.

• 한국경영과학회지
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• 제17권1호
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• pp.117-117
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• 1992

Pubilc utility industries including the electric utility industry are facing a new stream of privatization com-petition with the private sector and deregulation. The necewssity to solve now and in the future power supply and demand problems has been increasing through the sophisticated generation expansion plan(GEP) approach con-sidering not only KEPCo's supply-side resources but also outside resources such as non-utility generation(NUG) demand-side management (DSM). Under the environmental situation in the current electric utility industry a new approach is needed to acquire multiple resources competitively. This study presents the development of a modified electric generation expansion analysis system(EGEAS) model with avoided cost based on the existing EGEAS model which is a dynamic program to develope an optimal generation expansion plan for the electric utility. We are trying to find optimal GEP in Korea's case using our modified model and observe the difference for the level of reliabilities such as the reserve margin(RM) loss of load probability(LOLP) and expected unserved energy percent(EUEP) between the existing EGEAS model and our model. In addition we are trying to calculate avoided cost for NUG resources which is a criterion to evaluate herem and test possibility of connection calculation of avoided cost with GEP implementation using our modified model. The results of our case study are as follows. First we were able to find that the generation expansion plan and reliability measures were largely influenced by capacity size and loading status of NUG resources, Second we were able to find that avoided cost which are criteria to evaluate NUG resources could be calculated by using our modified EGEAS model with avoided cost. We also note that avoided costs were calculated by our model in connection with generation expansion plans.

• 조명전기설비학회논문지
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• 제23권4호
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• pp.8-15
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• 2009

본 논문은 전력시장 환경에서 수요관리 자원으로서 조광제어의 잠재량과 가치평가 방안을 제시한다. 일반적으로 수요자원의 경제성 평가를 위해 캘리포니아 테스트가 널리 사용되고 있다. 하지만 전력산업의 규제완화 및 구조개편으로 인한 새로운 시장 환경에서 캘리포니아 테스트를 적용하는데 한계가 있다. 특히 UC 테스트는 수직통합 전력회사에 적합하지만 발, 송, 배전이 분할된 전력회사에는 적합하지 않다. 따라서 본 논문에서는 전력시장 환경에서 전력판매회사 관점에서 수요관리 자원으로서 조광제어의 경제성을 평가하는 새로운 방법을 제시한다. 먼저 조광제어 자원의 잠재적 가치를 분석하고, 2006년 전력시장 데이터를 이용하여 판매회사 관점에서 조광제어의 경제성을 평가한다. 본 논문의 결과는 조광제어 자원이 전력판매회사 관점에서 비용-효과적인 수요관리 자원임을 보여 준다.