• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.30 no.3
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• pp.39-45
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• 2016

In these days global energy policy is changed from "supply" to "demand". In this regards, there are needs to analysis on effect of policy such as energy efficiency strategy, electricity rates. This study examines the relationship between energy consumption reduced by new energy policy and GDP growth for each industrial sector for Korea from 1970 to 2013. With respect to the direction of causality, energy use of 1th industry like agriculture and mining leads to GDP growth. On the other hand, GDP growth of 2nd industry, manufacturing, leads to energy use. And there is bidirectional causality in 3rd industry, service sector. These findings imply that the government policies aimed at reducing electricity consumptions and increasing energy efficiency should be progressed cautiously depend on status of each industry condition.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.54 no.3
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• pp.139-143
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• 2005

Several methods have been proposed to mitigate the market power in foreign electricity markets. In this paper, Hirfindahl-Hirschman Index(HHI) and supply margin assessment(SMA) are compared based upon the Korean future markets. The results show that SMA is better than HHI to estimate market power because it can reflect congestion and capacity reserve effectively.

• KIEE International Transactions on Power Engineering
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• v.5A no.4
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• pp.331-338
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• 2005

In this paper, an improved maintenance scheduling approach suitable for the competitive environment is proposed by taking account of profits and costs of generation companies and the formulated combinatorial optimization problem is solved by using Reactive Tabu search (RTS). In competitive power markets, electricity prices are determined by the balance between demand and supply through electric power exchanges or by bilateral contracts. Therefore, in decision makings, it is essential for system operation planners and market participants to take the volatility of electricity price into consideration. In the proposed maintenance scheduling approach, firstly, electricity prices over the targeted period are forecasted based on Artificial Neural Network (ANN) and also a newly proposed aggregated bidding curve. Secondary, the maintenance scheduling is formulated as a combinatorial optimization problem with a novel objective function by which the most profitable maintenance schedule would be attained. As an objective function, Opportunity Loss by Maintenance (OLM) is adopted to maximize the profit of generation companies (GENCOS). Thirdly, the combinatorial optimization maintenance scheduling problem is solved by using Reactive Tabu Search in the light of the objective functions and forecasted electricity prices. Finally, the proposed maintenance scheduling is applied to a practical test power system to verify the advantages and practicability of the proposed method.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.2089-2091
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• 2008

Most of specifications are composed by letters and the contents of specifications are very bulky. There exists correlation between the detailed contents. Therefore, to be achieved suitable quality of electricity function; it requires effectively organized and well expressed structured system. Therefore, it should be considered that assuring user's safety and guarantee capability of electricity installation through development of making such systematic specifications and supply of a technology that heighten consummative technology. Because the scope of electricity construction that requires making specification is very wide, in order to save resources and improve the level of technology, it is required that the standard of technology that is composed in the electricity construction that is from unit of electricity construction to whole electricity construction should be united and controlled nationally.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.6
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• pp.562-576
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• 2013

Power TAC (Power Trading Agent Competition) is an agent-based simulation for competitions between electricity brokering agents on the smart grid. To win the competition, agents obtain electricity from the electricity wholesale market among the power plants. In this operation, a key to success is balancing the demand of the customer and the supply from the plants because any imbalance results in a significant penalty to the brokering agent. Given the bidding on the wholesale market requires the price and the quantity on the electricity, this paper proposes four different price estimation strategies: exponentially moving average, linear regression, fuzzy logic, and support vector regression. Our evaluations with the competition simulation show which strategy is better than which, and which strategy wins in the free-for-all situations. This result is a crucial component in designing an electricity brokering agent in both Power TAC and the real world.

• Environmental and Resource Economics Review
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• v.20 no.2
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• pp.381-398
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• 2011

Recently, electricity peaks have frequently occurred in winter, and the concerns about failure in power supply are soaring. One of reasons is due to the increase in industrial demand with economic recovery, and the increases in household and commercial demand with unusual cold waves are spotted as a primary cause. Especially, the diffusion of electricity heat pumps (EHP) has led to the rapid increase in commercial electricity demand. The EHP diffusion is mainly associated with low electricity tariff and cheaper heating and cooling costs compared to those of gas-engine heat pumps (GHP). The problem is that distorted electricity tariff and herd behaviour toward heating and cooling devices could bring about nation-wide inefficiencies in resource allocation. The key countermeasures are as follows. The electricity tariff should be readjusted to a realistic level. The tariff scheme should be so modified that consumers rationally respond to the tariff. In addition, one should find ways to effectively manage electricity demand.

• 한국신재생에너지학회:학술대회논문집
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• 2008.05a
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• pp.111-114
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• 2008

지난 2005년부터 남한은 개성공단에 배전 및 송전 방식을 통하여 전력을 공급해왔다. 개성공단 전력 공급은 정치적으로 민감한 사안이며, 많은 비용이 소요되기 때문에 논란의 대상이 되고 있다. 따라서 개성공단 2단계 사업 및 여타의 다른 남북경협 사업을 앞두고 대북 전력 공급의 여러 대안에 대한 연구가 필요하다. 본 연구에서는 개성공단에 전력을 공급할 경우 가능한 대안들의 정성적인 특성을 분석하여 바람직한 대안들을 선정해보았다. 선정된 대안은 대북 송전, 해주 발전소 건설, 풍력 에너지 공급인데, 이 중 풍력발전시설 지원이 가장 경제적인 대안이라는 결론을 얻을 수 있었다.

• 한국신재생에너지학회:학술대회논문집
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• 2005.11a
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• pp.609-617
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• 2005

본 연구는 신재생전원설비가 추가적으로 전력공급설비로서의 역할을 키워감에 따라 나타날 수 있는 공급 상의 문제를 신재생에너지원별로 확률적인 분석을 시도하였다. 각 원별 패턴은 풍속, 일사량, 그리고 월력에 근거한 조수간만의 차이 등에 의해 영향을 받으며 이들은 확률적 분포를 갖는다는 점에 주목하여 피크공급에 대한 각 원별 기여도에 대한 확률적 분석을 시도하였다. 분석의 결과, 저자는 통상적인 전력수급계획에서 각 에너지원별 혹 발전원별 설비이용률을 갖고 설비계획에 반영하는 기존의 방법론이 갖는 문제점을 지적한다.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.29 no.3
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• pp.1-7
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• 2015

Korea's electricity supply and demand policy has focusing on electricity demand side management instead of the expanding supply and a lot of effort for LED(Light Emitting Diode) at the time. This paper calculated the optimal subsidy for LED spread. For this purpose, it analyzed the impact on spread of the lighting appliances each subsidy level from BDM(Bass Diffusion Model) and predicted the number of lighting appliances according to subsidy level in the future. The case study is calculated susidy for satisfaction of LED target using the suggested model in the future and verified availability.

• Journal of The Korean Society of Agricultural Engineers
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• v.49 no.6
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• pp.55-62
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• 2007

Actual states of energy utilizations were investigated and analyzed on three representative rural villages in Chungcheongnam-Do. Rural residents were almost using the ondol boiler as a heating facility and oil(diesel, kerosene) and electricity(night thermal-storage power service) as a heating energy. There were a few households using briquette or firewood in a fuel hole with Korean hypocaust. Most of their cooking facilities were gas ranges using LPG. The most popular hot-water supply system was an oil boiler and the next was an electricity boiler. The amount of energy use in a rural household generally showed 20,000 to 40,000 won/month of the electric power rate, 400 to 800 liter/year of the oil and 60 to 120 kg/year of the LPG. Prompt measures should be taken to promote the spread of new and renewable energy such as solar heat, biomass and wind power, etc.