• The Transactions of the Korean Institute of Electrical Engineers
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• v.38 no.8
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• pp.585-592
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• 1989

This paper presents an efficient algorithm for the reactive planning of transmission network under normal operating conditions. The optimal operation of a power system is a prerequisite to obtain the optimal investment planning. The operation problem is decomposed into a P-optimization module and a Q-optimization module, but both modules use the same objective function of generation cost. In the investment problem, a new variable decomposition technique is adopted which can operate the operation and the investment variables. The optimization problem is solved by using the gradient projection method (GPM).

• KEPCO Journal on Electric Power and Energy
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• v.8 no.1
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• pp.21-29
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• 2022

Power generated from renewable energy has continuously increased recently. As the distributed generation begins to interconnect in the distribution system, an accurate generation forecasting has become important in efficient distribution planning. This paper explained method and current state of distributed power generation forecasting models. This paper presented selecting input and output variables for the forecasting model. In addition, this paper analyzed input variables and forecasting models that can use as mid-to long-term distributed power generation forecasting.

• Proceedings of the KSME Conference
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• 2007.05b
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• pp.3359-3364
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• 2007

The smart energy system is the integrated power system in which the power components including central station generation, distributed generation, renewable power generation, energy storage, and communications and controls are complexly connected with each other. In smart energy system, it is very important how to configure the diverse power generations and how to determine the operation mode of the chosen components with economic feasibility. In this study, we introduce the optimal planning method based on both economic feasibility and load profiles and its applications for the smart energy system in apartment. This method was considered very useful to determine the configuration and to decide the optimal operation mode of the smart energy system.

• Proceedings of the KIEE Conference
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• 1997.07c
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• pp.778-780
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• 1997

This study considers a hydro power energy operation management and planning problem in KEPCO power systems for efficient use of hydro resources. A database is developed to provide with a convenience to hydro Power operation management and Planning by studying of the hydro resourse characteristics of Korea. The data is obtained in the operation history from 7 years ago and by considering the hydro facility planning to 2010 year. Also a computer program is developed to decide the monthly required volume of water and the water level of a dam in the Han river using the database.

• Proceedings of the KIEE Conference
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• 2005.07a
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• pp.828-830
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• 2005

A index using generation cost for planning' for representing economical efficiency of generator, However in case of Combined heat and power(CHP) the product is divided in electrical power and steam, so there are no unconditional comparison between general generator and CHP. To calculating the generation cost for planning of CHP, this study using the method that change electrical power and steam into same unit and suggest the comparing system that can compare economical efficiency with other generators.

• Proceedings of the KIEE Conference
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• 1999.07c
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• pp.1453-1455
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• 1999

This paper presents an economical generation planning for operating power systems with dispersed generation. As dispersed generation introduced into an electric power distribution system, the power system will be complicated and have much variable aspects. So there is need for developing new generation scheduling. In this paper, the proposed method is tested for distribution system with two battery storage resources. Optimal generation planning of 15 thermal units in 24-hours is achieved by improved genetic algorithm. Also, to show its effectiveness, the results are compared with those of not including battery storage resources.

• Progress in Superconductivity and Cryogenics
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• v.2 no.2
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• pp.32-36
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• 2000

In this study, we performed the long-term expansion planning for the conceptual design of HTS power cable in Seoul area. In Korea, underground power cable has been required gradually with increasing demand of electric power transmission density and low loss characteristics in the comparison with a conventional power cables, so we assumed that the HTS power cable is applied between the downtown area and the outskirts of the city for the large power transmission capacity. This paper is to show the effects of HTS power cables in Seoul based on the power system analysis.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.1372-1373
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• 2011

신재생에너지 발전기는 출력가변성이 크기 때문에 장기 전력수급계획 수립시 발전용량을 얼마로 할 것인가에 대한 불확실성을 내포하고 있다. 본 논문에서는 확률론적 신뢰도 기법에 기반하여 신재생 발전기가 공급신뢰도에 기여하는 용량산정 방법을 제안하고 우리나라 전력수급기본계획에 적용하는 방안을 살펴보았다. 국내 발전설비계획 수립에 사용하는 공급지장확률(LOLP)을 이용하여 신재생 발전기의 공급 신뢰도 기여용량을 산정하고 그 결과를 현재까지 사용해 온 신재생발전기 이용률에 기반한 기여용량 산정결과와 비교하였다. 특히 신재생발전원 중 우리나라에서 많은 부분을 차지하는 풍력 및 태양광에 대하여 용량가치를 산정하였다. 확률적 신뢰도기반 용량가치 산정법은 제5차 전력 수급기본계획 수립시 적용된 바 있으며, 좀 더 정밀한 산정절차를 수립하여 수급계획에 적용할 필요가 있다. 본 연구의 결과는 향후 수급계획 수립에 신재생 발전원의 정확한 용량가치를 산정하는 방식을 선정하는 데 참고자료로 활용될 수 있다.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.37 no.4
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• pp.63-71
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• 2014

As power consumption increases, more power utilities are required to satisfy the demand and consequently results in tremendous cost to build the utilities. Another issue in construction of power utilities to meet the peak demand is an inefficiency caused by surplus power during non-peak time. Therefore, most power company considers power demand management with time-based electricity rate policy which applies different rate over time. This paper considers an optimal machine operation problem under the time-based electricity rates. In TOC (Theory of Constraints), the production capacities of all machines are limited to one of the bottleneck machine to minimize the WIP (work in process). In the situation, other machines except the bottleneck are able to stop their operations without any throughput loss of the whole manufacturing line for saving power utility cost. To consider this problem three integer programming models are introduced. The three models include (1) line shutdown, (2) block shutdown, and (3) individual machine shutdown. We demonstrate the effectiveness of the proposed IP models through diverse experiments, by comparing with a TOC-based machine operation planning considered as a current model.

• The Journal of Fisheries Business Administration
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• v.46 no.3
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• pp.129-141
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• 2015

Because land based aquaculture is restricted by high investment per rearing volume and control cost, good management planning is important in Land-based aquaculture system case. In this paper master production planning was made to decide the number of rearing, production schedule and efficient allocation of water resources considering biological and economic condition. The purpose of this article is to build the mathematical decision making model that finds the value of decision variable to maximize profit under the constraints. Stocking and harvesting decisions that are made by master production planning are affected by the price system, feed cost, labour cost, power cost and investment cost. To solve the proposed mathematical model, heuristic search algorithm is proposed. The model Input variables are (1) the fish price (2) the fish growth rate (3) critical standing corp (4) labour cost (5) power cost (6) feed coefficient (7) fixed cost. The model outputs are (1) number of rearing fish (2) sales price (3) efficient allocation of water pool.