• The Transactions of the Korean Institute of Electrical Engineers A
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• v.49 no.6
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• pp.266-271
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• 2000

The electric power industries are moving from the conventional monopolistic or vertically integrated environments to deregulated and competitive environments, where each participant is concerned with profit maximization rather than system-wide costs minimization. Consequently, the conventional least-cost approaches for the generation resource schedule can not exactly handle real-world situations. This paper presents a game theory application for analyzing power transactions and market design in a deregulated energy marketplace, where the market participants determine the net profits through the optimal bidding strategies. The demand elasticity of the energy price is considered for the realistic modeling of the deregulated marketplace.

• Journal of Korea Multimedia Society
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• v.12 no.1
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• pp.41-49
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• 2009

Smart Card is currently more popular in mobile communication, and smart card with java card platform becomes a standard choice. Java card has a problem that it gets lost working data when power is off. Transaction is the idea to solve a problem of data loss, but it accepts only one transaction process, and other transaction process need to hold until the current working transaction is finished. This might be a factor to drop the Java card's performance. In this paper, we define a rule of dual-lock which can run transaction at multiple transaction buffer as a method for a better java card performance, and we suggest this rule to improve a capability of transaction process. From this research, we are able to improve the data stability, reduce the java card transaction delay time, and get a higher processing speed of java card.

• 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.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.6
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• pp.924-931
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• 2008

This paper presents a buswise transmission loss allocation algorithm utilizing the transaction strategy. We prove that whatever calculated by any transaction strategy, the total of the allocated transmission losses of each bus, including no-load loss allocation, almost equals the total loss of AC power flow algorithm and the loss is perfectly slackbus-independent. In this paper, the allocated transmission losses of each bus is calculated by the method of integrating loss sensitivities using by the load level parameter ${\lambda}$. The performance of the proposed algorithm is evaluated by the case studies carried out on the WSCC 9-bus and IEEE 14-bus systems.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.1
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• pp.45-53
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• 2018

The proliferation of distributed power sources such as renewable energy sources drives the changes of consumers to prosumers who actively want to deal with energy. The prosumer is a new type of consumer that can sell surplus energy or additionally generated energy to electric power companies, other energy service providers, or other consumers. To implement such a concept, a new technology and platform that can support the transaction of the prosumers are required. However, the study in the area is limited since it is in the early stage. This work examines the state-of-the-art transaction-based energy management technology through comparative analysis of representative technologies to show the future trends. Although, technologies and standards for transaction based energy are not much matured yet. related new research will be continued via competitions.

• Proceedings of the KIPE Conference
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• 2003.07a
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• pp.410-414
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• 2003

In this paper, the virtual-reality system is tried to developed, which controls not only the sense of sight and hearing but also the sense of touch, In order to develope the sense of touch in this study, the stable tactual transaction-system, based on summing up the basic algorithm and theory, is embodied. The hardware of this system consists of the 6DOF haptic interface, a controller and a driver In the case of the software, the proxy algorithm is applied for the force-transaction and the mopping algorithm is used for graphic transaction. In addition to this, the imaginary-device driver is utilized for controlling the system and manager-class is also included in this system to manage the position-change and the like. Consequently, the proxy algorithm Is applied, which makes the system possible to be more stable and prompt with and imaginary object. Moreover, the impulse-algorithm is applied to work out a problem which the tactual transaction-period is different from the graphic transaction-period.

• Journal of Internet Computing and Services
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• v.6 no.1
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• pp.65-72
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• 2005

Flash memories are one of best media to support portable computers in mobile computing environment. The features of non-volatility, low power consumption. and fast access time for read operations are sufficient grounds to support flash memory as major database storage components of portable computers. However. we need to Improve traditional transaction management scheme due to the relatively slow characteristics of flash operation as compared to RAM memory. In order to achieve this goal. we devise a new scheme called flash-aware transaction management (FATM). FATM improves transaction performance by exploiting SRAM and W-Cache, We also propose a simulation model to show the performance of FATM. Based on the results of the performance evaluation, we conclude that FATM scheme outperforms the traditional scheme.

• Proceedings of the KIEE Conference
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• 1997.07c
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• pp.1149-1152
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• 1997

This paper describes a novel approach for allocating transmission costs among users of transmission services. In the suggested approach, the cost share of each participant is proportional to amount of its line flow. To develop individual user's impact, the line utilization factors of each participant are derived by power flow equations of all nodes (i.e., load-flow equations). To deal With the slack bus problem inherent in the conventional load-flow analysis more practically, a additional power supply/demand balance equation is incorporated. Although the developed allocation rule is basically similar to the existing MW-mile method in the aspect of embedded cost allocation, it does not require to get load flow solutions of each wheeling transaction when multiple transmission transactions are considered.

• Proceedings of the KIEE Conference
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• 2001.07a
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• pp.507-508
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• 2001

Power transactions are considered as noncooperative game in that participants compete each other to win the bidding game, and as cooperative game in that they have to cooperate to apply the result of bidding game to the physically interconnected power system. This paper applies both noncooperative and cooperative game theories in analyzing the entire process of power transaction.

• Journal of Energy Engineering
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• v.29 no.3
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• pp.86-90
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• 2020

This paper examines a blockchain network-based transaction system using location proofing in power direct transactions between networked energy clouds, energy communities, and prosumer machines participating in smart cities. It utilizes location-based blockchain network technology, which enables long-distance travel with recharging by power purchases during autonomous movements, autonomous electric vehicles that can purchase and sell electricity, and solar street lights that can be produced and sold in fixed form. In addition, it is possible to provide optimum power transaction matching and settlement reliability between machines without human intervention in power transactions between electric chargers. It also introduces a business-to-object business model between autonomous machines that exist in multiple and different spaces and through energy clouds that are expected to be scattered with various transaction prices, policies, and incentives.