• Proceedings of the KIEE Conference
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• 1995.07b
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• pp.540-542
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• 1995

When precontract pricing is applied, consumers must reserve expecting the amount of electricity to use. But Consumers expecting demand has stochastic property, expecting demand may be different from real demand. To prepare for this problem, spinning reserve is needed. Now I suggest new pricing system that someone has large variance and large elacity pays high price by the accumulated penalty factor. And I suggest the accumulated penalty factor for maximizing social welfare.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.55 no.4
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• pp.156-162
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• 2006

Transmission zones can be defined based on LMPs. Each zone consists of nodes with similar LMPs, and zonal price is determined by average nodal prices in each zone.[1] Network reduction is still important for the analysis of zonal systems under electricity market environments, even though the computing capability of computer system can deal with entire power systems. The Similarity Index is a good performance measure for the network reduction.[2] It can be applied to the network reduction between zones categorized by the nodal prices. This paper deals with a novel network reduction method between zones based on the similarity Index. Line admittances of reduced network were determined by using the least square method. The proposed method was verified by IEEE 39 bus test system.

• Proceedings of the KIEE Conference
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• summer
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• pp.950-952
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• 2004

The developments of small hydropower plants in korea have been delayed by rising construction cost/low feasibility, local people's disagreement even though the capacity of water resources are enough. However, the recent raising of electricity purchasing price, the government's enlarging plan of small hydropower plants caused the newly development to be accelerated. In this paper, the design of remote control of small hydropower plants are proposed for better economy and easy control. The operation and monitoring of power plants are planned based on One(1)-man control from the central control room of regional area water works/ operating station and engineering station multipurpose dam offices with the equipments of OS, RTU(PLC), KT leased lines, WMPS, CSU and etc.

• Proceedings of the KIEE Conference
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• 2003.11a
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• pp.438-440
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• 2003

This paper resents an application of an Artificial Neural Network(ANN) technique to forecast the short-term system marginal price(SMP). The forecasting of SMP is a very important factor in an electricity market for the optimal biddings of market participants as well as for the market stabilization of regulatory bodies. The proposed neural network scheme is composed of three layers. In this process, input data are set up to reflect market conditions. And the $\lambda$ that is the coefficient of activation function is modified in order to give a proper signal to each neuron and improve the adaptability for a neural network. The reposed techniques are trained validated and tested with the historical real-world data from korea Power Exchange(KPX).

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.7
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• pp.1128-1134
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• 2016

Demand response provides customer load reductions based on high market prices or system reliability conditions. One type of demand response, price-based program, induces customers to respond to changes in product rates. However, there are large-scale general and industrial customers that have difficulty changing their energy consumption patterns, even with rate changes, due to their electricity demands being commercial and industrial. This study proposes an in-house pricing model for large-scale general and industrial customers, particularly those with multiple business facilities, for self-regulating demand-side management and cost reduction. The in-house pricing model charges higher rates to customers with lower load factors by employing peak to off-peak ratios in order to reduce maximum demand at each facility. The proposed scheme has been applied to real world and its benefits are demonstrated through an example.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.111-112
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• 2007

This paper presents the capacity payment in electricity power markets. The capacity payment (CP) needs to recover fixed costs. But most CP is allocated by energy policy. So, this paper analysis CP using capacity proportion and Reliability Pricing Model (RPM). The capacity proportion method uses base capacity price and supply available capacity. The RPM method uses value of each region and operation attribute of each generator.

• Korean Journal of Organic Agriculture
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• v.19 no.spc
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• pp.199-202
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• 2011

Organic production practices varied among producers. Generally, organic producers were relying on imported input materials such as organic compost and liquid fertilizer even more than conventional producers. Very few organic farmers had composting facilities or sites for the own supply of compost in need. The productivity of organic kiwifruit orchard (92%) was not as low as that of conventional while the net income (243%) was more than double that of conventional. This was mainly attributed to high farm gate price of organic fruits, low paid labour use and electricity. As a consequence, organic kiwifruit production seems to become a feasible option in Korea. However, high dependence on imported farming material, fuel and labour for too frequent liquid fertilizer spray should be addressed to achieve long term sustainability of organic kiwifruit production.

• Proceedings of the Korean Nuclear Society Conference
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• 1997.05b
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• pp.651-656
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• 1997

Efforts are made to examine the role nuclear energy under the international carbon emissions regulation. To do so, an econometric model for energy demand and supply is developed. Here, several scenarios on the regulation are assumed and then each scenario is analyzed by using this model. This model also makes it Possible to analyze the effect of carbon tax. The results show that share nuclear increases up to 60% in 2020 Instead 45% makes GDP rise by 1.9% while the electricity price lower by 46% in carbon emission regulation.

• KIEE International Transactions on Power Engineering
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• v.11A no.4
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• pp.21-26
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• 2001

As competition is introduced in the electricity supply industry, congestion becomes a more important issue. Congestion in a transmission network occurs due to an operating condition that causes limit violations on the transmission capacities. Congestion leads to inefficient use of the system, or causes additional costs (Congestion cost). One way to reduce this inefficiency or congestion cost is to control the transmission flow through the installation of UPFC (Unified Power Flow Controller). This paper also deals with an optimal siting of the UPFC for reducing congestion cost by using shadow prices. A performance index for an optimal siting is defined as a combination of line flow sensitivities and shadow prices. The proposed algorithm is applied to the sample system with a condition, which is concerning the quadratic cost functions. Test results show that the siting of the UPFC is optimal to minimize the congestion cost by the proposed algorithm.

• Journal of Korean Society of Rural Planning
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• v.19 no.3
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• pp.25-36
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• 2013

This study aims to perform the economic analysis to the use of solar power facilities in rural villages considering the climate change scenario. IPCC climate change scenarios in the recently adopted the RCP scenarios (RCP8.5, RCP6.5, RCP4.5, RCP2.6) was used. By RCP scenarios, solar radiation, depending on the scenario in 2100, respectively, 3.6%, 2.5%, 1.9%, 1.1% was assumed to increase. From the economic analysis(payback period is 25 year) on 8 points of each province, in all cases of normal data and four RCP scenarios, at all points analyzed were NPV indicate a negative, BC ratio less than 1.0, respectively. In the case of Mokpo, Chunnam RCP8.5, BC ratio were found to be up to a 0.92, followed by 0.89 in the case of RCP8.5 in Jinju, Kyungnam shows, while the minimum was in Jeju. BC ratio is 1.0 or bigger, in order for the normal solar radiation data in Mokpo, Chonnam was the minimum that it takes 37 years. Similarly, in the case of RCP scenarios, 30 years in Mokpo, Chonnam RCP8.5 and 31 years in the cases of Jinju, Kyungnam and Jeonju, Cheonbuk RCP8.5 were analyzed. It was analyzed that RCP8.5 has the highest value. BC analysis models for each of the factors, the results of the sensitivity analysis, the initial installation costs, electricity sales price, discount rate in the order of economy showed higher sensitivity, and the rest factors showed lower changes. Although there are some differences of solar radiation by region, but in Korea most facilities in rural areas, the use of solar power was considered to be economical enough, considering change of several factors with high sensitivity, such as increasing of government subsidies for the solar power installation of the facility, rising oil prices due to a rise in electricity sales price, and a change in discount rate. In particular, when considering climate change scenarios, the use of solar energy for rural areas of the judgment that there was more economical.