• Proceedings of the KIEE Conference
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• 2001.11b
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• pp.429-431
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• 2001

The vertically integrated power industry was divided into six generation companies and one market operator, where electricity trading was launched at power exchange. In this environment, the profits of each generation companies are guaranteed according to utilization of their own generation equipments. This paper represents on generator maintenance scheduling and efficient bidding strategies for generation equipments through the calculation of the contract and the application of each generator cost function based on the past demand forecasting error and market operating data.

• Proceedings of the KIEE Conference
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• 2003.07a
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• pp.630-632
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• 2003

This paper describes allocation strategies of controllable loads for load aggregator in power market with the direct load control (DLC) program, which is carried out the two-way confirmation procedure. So, it is needed to the priority among the controllable loads to perform effectively and quickly the confirmation task. In this paper, allocation strategies for market operator and/or load aggregator are proposed, which are based on the basic load patterns defined in this paper. To verify the soundness of proposed strategies. case study on a sample system is performed.

• Proceedings of the KIEE Conference
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• 2003.07a
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• pp.113-115
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• 2003

The electric power industry throughout the world is undergoing considerable changes from the vertically integrated utility structure to the deregulated market. However, the deregulated electricity market is operated with respect to theory of economical efficiency, and therefore, the system operator requires data with fast contingency ranking for security of the bulk power system. This paper presents fast calculation method for determining contingency ranking using the weather dependant probabilistic risk index(PRI). The probabilistic risk index can be classified into normal weather and adverse weather. This paper proposes calculation method using the probabilistic risk index in determining contingency ranking requiring for security under the deregulated electricity market.

• Proceedings of the KIEE Conference
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• 2005.11b
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• pp.162-164
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• 2005

This paper presents an hour-ahead System Marginal Price (SMP) forecasting framework based on a neural network. Recently, the deregulation in power industries has impacted on the power system operational problems. The bidding strategy of market participants in energy market is highly dependent on the short-term price levels. Therefore, short-term SMP forecasting is a very important issue to market participants to maximize their profits. and to market operator who may wish to operate the electricity market in a stable sense. The proposed hybrid neural network is composed of tow parts. First part of this scheme is pattern classification to input data using Kohonen Self-Organizing Map (SOM) and the second part is SMP forecasting using back-propagation neural network that has three layers. This paper compares the forecasting results using classified input data and unclassified input data. The proposed technique is trained, validated and tested with historical date of Korea Power Exchange (KPX) in 2002.

• Journal of Electrical Engineering and Technology
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• v.7 no.5
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• pp.681-688
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• 2012

This paper presents the application of Differential Evolution (DE) algorithm to obtain a solution for Bid Based Dynamic Economic Dispatch (BBDED) problem including the transmission losses and to maximize the social profit in a deregulated power system. The IEEE-30 bus test system with six generators, two customers and two trading periods are considered under various bidding strategies in a day-ahead electricity market. By matching the bids received from supplying and distributing entities, the Independent System Operator (ISO) maximize the social profit, (with the choices available). The simulation results of DE are compared with the results of Particle swarm optimization (PSO). The results demonstrate the potential of DE algorithm and show its effectiveness to solve BBDED.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2000.11a
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• pp.69-87
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• 2000

Models and Strategies for Network Operator's B2B Ecommerce The B2B ecommerce market is one of the fastest growing areas in the telecom industry. However network operators have been slow to enter the arena, Network operator have been held back by their general unsurety about the Internet business. Network operators'core business(the supply of connectivity and transport service) is becoming unprofitable. As a result they are looking to diversify into areas where margins are higher. B2B ecommerce offers them a major way to achieve this. It is possible to identify various business models for offering ecommerce services to end user, ranging from the provision of complete packaged applications to the implementation and management of customized ecommerce solution. In this study the three main approaches available to network operators are the traditional IT outsourcing model, the ASP model and the community builder model.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.18 no.4
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• pp.423-429
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• 2009

The motion base to a film used in 4D cinema theaters or theme parks is different depending on the operator's control or hardware system and this causes inefficiency in management of the theater. There are several different simulation software on the present market, but these are difficult for an animation producer to use them. This study introduces the idea in which a film producer simulates the movement of the motion base by using computer graphic animation tools mostly adopted by production for creating 3D animation and motion control data. Maya and 3D Cross were used to show the path of a motion camera visually. Attitude and axis control data were extracted from the movement of the virtual motion base and were used to control a prototype of the motion base. As a result, the motion control data from computer graphic animation tools can be created so that a film producer can create standard motion control data independently regardless of the hardware and operator's skill.

• Journal of Korea Port Economic Association
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• v.36 no.1
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• pp.1-22
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• 2020

The global container terminal market is predicted to see continued future volume growth. According to Drewry, global container shipments rose by 6.3% year-on-year to 750 billion twenty-foot equivalent units (TEUs) in 2017 and are forecast to experience continued growth to 9.3 billion TEUs in 2022. According to IHS Markit, the global terminal operator (GTO) market is forecast to grow more than 10% annually, up from $2.4 billion in 2017, to exceed $3 billion by 2022. However, Hyundai Merchant Marine is the only real GTO in Korea. In particular, the shipping and port markets are facing drastic changes, both at home and abroad, including a slowdown in the growth of domestic export and import shipments, environmental changes in the container market caused by the trade frictions between the US and China, and increased changes in container shipments caused by the trade frictions between Korea and Japan. In this study, we propose ways for domestic companies to participate in the continuously growing GTO market. After analyzing the current status of the global GTO market, the government expressed a desire to explore ways to establish GTOs through the Port Authority and the Korea Ocean Business Corporation. Therefore, four types of establishment plans were proposed, along with a legal framework for the establishment of GTOs.

• Proceedings of the KIEE Conference
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• 2001.07a
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• pp.550-552
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• 2001

The vertically integrated power industry was divided into six generation companies and one market operator, where electricity trading was launched at power exchange. In this environment, the profits of each generation companies are guaranteed according to utilization of their own generation equipments. Especially, the electricity demand shows seasonal and weekly regular pattern, which the some capacity should be provided into ancillary service based on the past demand forecasting error and operating results of electricity market. Namely, if generation cost function is applied to SMP and BLMP as announced the previous day, the available generation capacity of the following day could be optimally distributed, and therefore contract capacity of ancillary service applied to CBP(Cost Based Pool) and TWBP(Two-Way Bidding Pool) is determined. Consequently, it is Possible to use the retained equipments optimally. This paper represents on efficient bidding strategies for generation equipments through the calculation of the contract and the application of each generator cost function based on the past demand forecasting error and market operating data.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.36 no.1
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• pp.121-128
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• 2016

The restructuring of Korean railway industry, separation of between train operators and an infrastructure manager, had been conducted in 2004 to increase the productivities of railway operations. However, the maintenance-staffs are still employed by Korail (train operator), not by the infrastructure manager, which led the maintenance of railway infrastructure to be conducted by the train operator. The infrastructure manager is now only taking care of financial transferring issues once the train operator requests expenses spent for facility maintenance. Such incomplete restructure may result in a lack of safety performance on railway operations as the roles and responsibilities are less likely to be assigned under the multiple train operators. Thus, this study proposes the way of structuring maintenance divisions and their roles and responsibilities to assure the safe work execution under the circumstance of multiple train operators on the same rail network.