• Proceedings of the KIEE Conference
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• summer
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• pp.689-691
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• 2004

Transmission Pricing is the factor of giving locational signal when Genco decides the generation expansion schedule. Therefore, TR-Pricing is influenced to generation expansion schedule. TR-Pricing is composed of three element, loss-cost and congestion-cost and equipment-cost. The main target of this paper is to analyze TR-Pricing's(especially loss-cost) inpact to generation expansion schedule. Then, this paper make a optimal counterproposal to decide the generation expansion schedule.

• Proceedings of the KIEE Conference
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• 2001.11b
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• pp.192-194
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• 2001

The Transmission network provides physical transport, network security, and connection services. The five principles of Transmission pricing are economic efficiency, cost recovery, efficient regulation, simplicity and transparency, non-discrimination. The Transmission Charges are made up of transmission connection charge and transmission charge of network. The Transmission Losses will be considered through Marginal Transmission Loss Factors in the market operation. The transmission loss rentals are used for the reduction of the annual revenue requirement of the transmission network for the purpose of derivation of transmission use of network charge.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2001.11a
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• pp.3-17
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• 2001

In this paper, we compare the market performances under circuit pricing whereby users are charged based on their length of usage time and under packet pricing whereby users are charged based on the amount of information received. We show that, if packet pricing is introduced, the market price rises contrary to the government's expectation but that the overall social welfare is unambiguously increased because packet pricing reflects the social cost properly while circuit pricing does not. Also, we show that, if delivery of multi-media files requires a much higher speed, a move to packet pricing lowers the price of multi-media transmission, thereby increasing the usage of multimedia data in the absence of congestion, which may not be the case in the presence of congestion.

• Journal of Electrical Engineering and Technology
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• v.2 no.2
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• pp.194-200
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• 2007

The deregulation problem has recently attracted attentions in a competitive electric power market, where the cost must be earmarked fairly and precisely for the customers and the Independent Power Producers (IPPs) as well. Transmission loss is an one of several important factors that determines power transmission cost. Because the cost caused by transmission losses is about $3{\sim}5%$, it is important to allocate transmission losses into each bus in a power system. This paper presents the new algorithm to allocate transmission losses based on an integration method using the loss sensitivity. It provides the buswise incremental transmission losses through the calculation of load ratios considering the transaction strategy of an overall system. The performance of the proposed algorithm is evaluated by the case studies carried out on the WSCC 9-bus and IEEE 14-bus systems.

• Proceedings of the KIEE Conference
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• 2003.07a
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• pp.652-654
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• 2003

Embedded cost pricing is easy to be applied in the calculation of transmission cost and guarantees perfect recovery of revenue requirement. However, it caused in equity of cost distribution in the restructured electrical market. Though, marginal cost pricing has been studied to be applied to economic signal of members. But it has the cumbersome processes of the revenue reconciliation. This paper presents a new recovery of revenue requirement method that is satisfied with economic signal, using MLF.

• Proceedings of the KIEE Conference
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• 1999.07c
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• pp.1337-1339
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• 1999

This paper presents transmission pricing mechanisms based on postage stamp rule. Two pricing mechanisms with three different calculation methods are suggested, followed by case studies in KEPCO system.

• Proceedings of the KIEE Conference
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• 2000.11a
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• pp.3-5
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• 2000

It has been the paradigm of game theory that more than two utilities compete and determine the price and amount of dispatch. In order for this theory to be available on real power system, it is necessary to consider the transmission costs as well as the generation costs. In addition Independent System Operator(ISO) should be able to mitigate the congestion, recover the transmission costs and provide information for long-term capacity investment by devising reasonable pricing schemes for the transmission services. Generators also have to take the transmission costs into account when building the bidding strategies. This paper proposes an approach to analyzing the profit maximizing game considering the transmission cost in a competitive electricity market.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.56 no.1
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• pp.41-47
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• 2007

Transmission Loss Factor (TLF) is one of the key factors affecting transmission pricing which should capture the intrinsic characteristics of competitive electricity markets and be amenable to the agreement of the market participants. This paper proposes a practical methodology which enhances the utility and applicability of TLF which is vulnerable to the choice of slack bus, computation methodologies, and incremental generation (or incremental load). The proposed methodology is demonstrated with a case study.

• Journal of Electrical Engineering and Technology
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• v.5 no.1
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• pp.21-27
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• 2010

This paper examines the long-run social welfare maximization problems facing public utilities, which includes consideration of the cost of capital or other fixed costs of production, from which it derives optimal investment decisions in a reliability differentiated pricing based market. Reliability differentiated pricing policies lead to straightforward mathematical results on optimal investment decisions in generation and transmission expansion planning. This paper presents the mathematical conditions for optimal investment decisions.

• 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.