• Journal of Fisheries and Marine Sciences Education
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• v.26 no.2
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• pp.444-454
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• 2014

The range of optimization problem in aquaculture is very wide, resulting from the range of species, mode of operation. Quite a few studies focus marine net-cages, but studies on land based culture farm are few or no. This paper considers a allocation problem to meet production planning in land based aquaculture system. A water pool allocation model in land based aquaculture system was developed. The solution finds the value of decision variable to minimize yearly production costs that sums up the water pool usage cost and sorting cost. The model inputs were (1) the fish growth rate (2) critical standing corp (3) number of water pool (4) number of fish. The model outputs were (5) number of water pool in growing phase (6) cost of cultivation (6) optimal facility allocation(number of water pool for each growing phase). To solve the problem, an efficient heuristic algorithm based on a greedy manner is developed. Branch and bound and heuristic is evaluated through numerical examples.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.9
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• pp.1531-1535
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• 2008

In the past vertically integrated power system, the power utility forecasted power demand and invested new power plants to keep a system adequacy. However, in the competitive electricity markets, a principle part of the capacity investment is market participants who decided the investment to maximize their profit. Especially, one of the main factors in their long-term decision making is the retrieval of fixed costs (construction costs). This paper presents the capacity payment in electricity power markets. The capacity payment (CP) in Cost Based Pool (CBP) is needed to recover fixed costs. However, CP in CBP was applied not only recovering fixed costs but also ensuring supply reliability. In order to operate harmonious power markets, pool needs reasonable CP mechanism. This paper analysis CP using capacity proportion and Reliability Pricing Model (RPM).

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.51 no.12
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• pp.597-602
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• 2002

The restructuring of power industry is still going on all over the world for last several decades. Many kinds of restructuring model have been studied, proposed, and applied. Among those models, power pool is more popular than other. This paper assumes the power pool market structure having competitive generation sector, and a new method is presented to build a bidding strategy in that market. The utilities participating in the market have the perfect information of their cost and price functions, but they don't know which strategy to be chosen by others. To define one's strategy as a vector, we make utility's cost/price functions into discrete step functions. An utility knows only his own strategy, so he estimates the other's cost/price functions into discrete step functions. An utility knows only his own strategy, so he estimates the other's strategy using Nash equilibrium or stochastic methods. And he also has to forecast the system demand. According to this forecasting result, his payoffs can be changed. Considering these all conditions, we formulate a bidding game problem and apply noncooperative game theory to that problem for the optimal strategy or solution. Some restrictive assumption are added for simplification of solving process. A numerical example is given in Case Study to show essential features and concrete results of this approach.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.668-669
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• 2011

우리나라 전력시장은 구조개편 초기모델로 2001년 4월부터 개설된 원가반영발전시장(Cost BasedPool)으로 새로운 경쟁적 시장환경이 도입되기에는 여러 가지 한계가 있을 수 있다. 요즘 해외시장에서도 화두가 되고 있는 DR(수요자 반응)의 원가반영시장에서의 적용 영향을 분석한다

• Proceedings of the KIEE Conference
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• 2001.05a
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• pp.187-189
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• 2001

전력산업 구조개편에 따라 개설된 우리나라의 발전경쟁 시장에서 전력계통안정 및 전기품질 확보를 위하여 적용되는 계통운영서비스의 종류와 확보기준 및 운영방법을 소개하고 향후 전력시장의 발전에 따라 적용예정인 계통운영서비스에 대한 운영방향을 검토하였다.

• Korean Journal of Agricultural Science
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• v.34 no.1
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• pp.85-97
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• 2007

This study aimed at analyzing the economic effect of outdoor swimming pool investment using the reservoir's amenity resources. We focused on the identification of the amenity value of reservoir in the rural area and the economic evaluation for establishing This study aimed at analyzing the economic effect of outdoor swimming pool investment using the reservoir's amenity resources. We focused on the identification of the amenity value of reservoir in the rural area and the economic evaluation for establishing infrastructure such as swimming pool based on the reservoir's landscape value. To this end, we have conducted the case study on the outdoor swimming pool in connection with Go-Bok reservoir in Yeon-Gi county, Chungnam Province and estimated its income effect on the rural community by cost-benefit analysis method. The research results are as follows; 1) Outdoor swimming pool participants, with 11,581 visitors totaled to Yeon-gi county every year, was estimated to spend the worth of 58,446 thousand won paid for the agricultural product purchase and etc. 2) Internal rate return of the outdoor swimming pool project was estimated to 16.19%, which considered to be economically feasible comparing with 10% of current capital opportunity cost. Based on the results of this study, we suggest the following strategies for development of amenity value of swimming pool in connected with the reservoir; 1) Reservoir amenities should be well preserved even after construction of swimming pool lest losing amenity values while managing the facilities. 2) Measures to increase the marketing value of intangible reservoir's amenities through promotion should be established. 3) Effective program for more visitors with longer staying and more agricultural products sales should be designed.

• Proceedings of the KIEE Conference
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• 2003.07a
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• pp.596-598
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• 2003

본 논문에서는 CBP 가격을 기반으로, TWBP시장의 가격을 분석하였다. KPX가 발표한 SMP와 수요예측자료로 누적입찰자료를 추정하었으며, 이를 이용하여 계획예방정비에 따른 TWBP가격 변동을 시뮬레이션 하였다.

• 한국전산유체공학회:학술대회논문집
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• 2008.03b
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• pp.381-384
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• 2008

This paper presents an operational technique to maximize profit of a cogeneration power plant. To minimize errors in a loss and gain analysis of a cogeneration power plant, the energy sale profit in the cost-based-pool electric power trade market, the heat sale profit, and the supplementary fund profit for electric power industry are taken into consideration. The objective is to optimize the heat-electric power ratio to maximize profit of a cogeneration power plant. Furthermore, the constrained bidding technique to optimize heat-electric power ratiocan be obtained. Profits from of a cogeneration power plant are composed of three categories, such as the energy sale profit in the cost-based-pool electric power trade market, the heat sale profit, and the supplementary fund profit for electric power industry. Profits of a cogeneration power plant are varied enormously by the operation modes. The profits are mainly determined by the amount of constrained heat generation in each trading time. And the three profit categories arecoupled tightly via the heat-electric power ratio. The result of this case study can be used as a reference to a cogeneration power plant under the power trading system considered in this case.

• Plant Journal
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• v.5 no.1
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• pp.40-44
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• 2009

This study presents an operational technique to maximize the profit of a cogeneration power plant under cost-based pool power market. In benefit side energy sale profit, heat sale profit, and supplementary fund profit for electric power industry are included and the changeable cost was considered in cost side. The profit of a cogeneration power plant is varied enormously by the operation conditions, and constraint conditions. The result of this case study can be used as a reference to a cogeneration power plant under the same power trading system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.338-341
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• 2014

Recently, many research efforts have paid attention to spectrum pooling meshanism that provides efficient way to manage transient spectrum requests of secondary users in cognitive radio networks. Spectrum pooling is maintained by WSP (wireless service provider). WSP leases the spectrums stored in her spectrum pool to secondary users with being paid for it. It is natural that WSP tries to get profits as much as possible, which implies the WSP tries to minimize the cost required for maintaining her spectrum pool. In this paper, we model the spectrum pool into a probabilistic inventory model. Assuming secondary users' spectrum requests follow normal distribution, we give a strategic way that minimizes the maintenance cost of the spectrum pool. By a series of simulations, we show that WSP can reduce the total maintenance cost through our inventory model-based spectrum pooling than maintaining fixed inventory level.