• Nuclear Engineering and Technology
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• v.56 no.5
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• pp.1654-1666
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• 2024

The goal of this research is to propose a way to maximize small modular reactor (SMR) utilization to gain better market feasibility in support of carbon neutrality. For that purpose, a comprehensive tool was developed, combining off-design thermohydraulic models, economic objective models (levelized cost of electricity, annual profit), non-economic models (saved CO2), a parameter input sampling method (Latin hypercube sampling, LHS), and a multi-objective evolutionary algorithm (Non-dominated Sorting Algorithm-2, NSGA2 method) for optimizing a SMR-combined heat and power cycle (CHP) system design. Considering multiple objectives, it was shown that NSGA2+LHS method can find better optimal solution sets with similar computational costs compared to a conventional weighted sum (WS) method. Out of multiple multi-objective optimal design configurations for a 105 MWe design generation rating, a chosen reference SMR-CHP system resulted in its levelized cost of electricity (LCOE) below $60/MWh for various heat prices, showing economic competitiveness for energy market conditions similar to South Korea. Examined economic feasibility may vary significantly based on CHP heat prices, and extensive consideration of the regional heat market may be required for SMR-CHP regional optimization. Nonetheless, with reasonable heat market prices (e.g. district heating prices comparable to those in Europe and Korea), SMR can still become highly competitive in the energy market if coupled with a CHP system.

• Asia pacific journal of information systems
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• v.11 no.3
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• pp.91-104
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• 2001

Like other communication networks, the Internet is establishing and reinforcing connections between market participants. By adapting to these networks, market participants are able to obtain the power of network to create new benefits in on-line markets. In this paper, we develop three stage non-cooperative game models to analyze the community related business market in electronic commerce where network externalities are present. It is found that, regardless of its market share, individual firm in a market tends to favor a community network. The analysis also shows there exist some possibilities that these community networks can trap the market in an inferior state when better alternatives are available to yield greater social welfare.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.64 no.3
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• pp.480-484
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• 2015

As the increasing national power crises due to various environmental factor, power market change is needed more developed and systemized DSM(Demand Side Management) search at DR market. To overcome national power crisis outbreaking every year and manage the eletric power reserve ratio, we need to construct and develop the electric safety manager and general public main oriented national power plant. For the advanced national power demand management system, it is required the application development like OpenAPI, Big Data Acquisition, Web/APP basd on ICT.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.52 no.4
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• pp.213-218
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• 2003

In front of the opening of electric distribution market in 2004, it is indispensable to have a proper estimation of power quality index and rower quality cost calculation mechanism which are indispensable to stabilize highly industrialized society and to vitalize the Investment lot electric power system. However, there were not enough measures to reflect the voltage characteristics such as voltage sags and Interruptions which make electric load in unstable operation. This paper suggests power quality index and power quality cost which translate various kinds of voltage records into bus load drop index(BLDI) and bus power quality cost(BPQC) based on aggregated load CBEMA curve. A sample calculation result shows that this method can produces the acceptable power Quality index and costs for utilities and customers requirements.

• KEPCO Journal on Electric Power and Energy
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• v.6 no.3
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• pp.211-224
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• 2020

• KEPCO Journal on Electric Power and Energy
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• v.6 no.4
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• pp.359-379
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• 2020

• Proceedings of the Korean Nuclear Society Conference
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• 2001.05a
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• pp.535-535
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• 2001

• Proceedings of the KIEE Conference
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• 2004.11b
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• pp.97-100
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• 2004

As the circumstance of the traditional system is changed according to power system deregulation, the simulation tool which should reflect market code providing market operating mechanism is needed to analyze an electricity market. This paper presents the development of Electricity Market Price Simulator for short term(EMPS) that is designed to imitate the Korean electricity market. The EMPS is developed in VB.NET and is composed if three functions that consist of calculating SMP for CBP market, MCP for TWBF market and LMP for LMP-market. To evidence the features and the performance of EMPS, a small two way bidding market with 12-bus system, one way bidding market for generator competition and LMP market with 5-bus system will be presented for the electricity market simulations using EMPS.

• Proceedings of the KIEE Conference
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• 2008.11a
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• pp.83-85
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• 2008

The authors develop and compare the performance of short-term forecasting models on electricity market prices in Korea. The models are based on time-series methods. The outcome shows that the EGARCH model has the best results in the out-of-sample forecasts.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.271-274
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• 2005

Under competitive power markets, various long-term and short-term contracts based on spot price are used by producers and consumers. So an accurate forecasting for spot price allow market participants to develop bidding strategies in order to maximize their benefit. Artificial Neural Network is a powerful method in forecasting problem. In this paper we used Radial Basis Function(RBF) network to forecast spot price. To learn ANN, in addition to price history, we used some other effective inputs such as load level, fuel price, generation and transmission facilities situation. Results indicate that this forecasting method is accurate and useful.