• 전기학회논문지
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• 제57권7호
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• pp.1157-1166
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• 2008

This paper presents a new approach for the evaluation of location marginal prices (LMPs) considering demand-side bidding (DSB) in a competitive electricity market. The stabilization of the electric power supply and demand balance is one of the major important activities in electric power industry. In this paper, we present an analytical method for calculation of LMPs considering DSB, which has opportunity to compete with generating units, as England & Wales Pool's DSB scheme[1]. Also, we propose a new approach that LMP considering DSB is divided into three components. The proposed approach can be used for the evaluation of demand-side bidding into the electricity market and the assessment of the influence of DSB on total production costs and LMPs as well as three components.

• 대한산업공학회지
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• 제39권6호
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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.

• The Journal of Asian Finance, Economics and Business
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• 제9권3호
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• pp.33-42
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• 2022

Oil prices have become more volatile as a result of global economic contraction and control measures. Before and during the COVID-19 crisis, this study examines the relationship between oil price swings and daily stock returns in the power sector. The impact is investigated using a panel Vector Autoregressive (VAR) model. Granger causality tests are used to see if oil prices are effective in predicting returns. The dynamic impact of supply shocks is studied using Impulse Response Functions (IRFs). From January 2011 to May 2021, the study used daily data from all listed power sector enterprises on the Pakistan stock exchange. To investigate the differences in reactions between the Pre-COVID and COVID eras, the sample was separated into two groups. Oil shocks are inversely associated with daily firm stock returns. The conclusions are further supported by the lack of impact of stock prices on oil prices. The relationship, however, deteriorates during the COVID pandemic. We could not uncover any evidence of a significant relationship. In developing countries that rely on oil imports, the study sheds light on the utility of oil price shocks in daily stock return predictions.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 하계학술대회 논문집 D
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• pp.2203-2205
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• 2002

In order to have the competitive power in control system economically, development of low price control system must be conducted. In this paper, we are tring to think over the integration of hardware using progammable logic controller for Turbine control system. The detailed contents are system's overview and integration of system and system redundant and power supply.

• 자원ㆍ환경경제연구
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• 제18권4호
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• pp.745-766
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• 2009

특정 산업의 시장지배력을 측정할 때 일부 생산 투입요소의 시장가격이 존재하지 않을 경우 한계시장비용을 초과한 가격 markup으로 판단한 수치는 현실을 왜곡시킬 수 있다. 투입된 모든 생산요소의 가격들의 함수인 비용함수를 추정하는 데 있어서 총 시장비용에서 이들 투입요소에 대한 지출비용이 누락되면 완전경쟁산업에서의 시장가격이 한계시장비용을 초과하는 상황이 발생한다. 한국 제조업의 경우 원재료의 시장가격이 존재하지 않을 뿐만 아니라 관련 자료의 부족으로 공해저감자본의 가격지수를 산정하는 것이 거의 불가능하다. 본 논문에서는 환경규제를 받는 한국 철강산업의 시장지배력에 대한 가격 markup 추정치의 신뢰성을 제고하기 위하여 최적 수준의 원재료와 공해저감자본의 투입량을 전제로 제약비용함수를 도출한 후 공급관계식과 함께 연립방정식으로 추정하였다. 공급가격에 대한 시장지배력 markup의 비율로 측정한 국내 철강산업의 시장지배도는 1982년부터 2001년까지 연평균 0.49로서, 환경규제를 고려하지 않을 경우 약 8% 과대평가되는 것으로 나타났다.

• 신재생에너지
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• 제8권4호
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• pp.21-29
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• 2012

The extensible supply of New & Renewable energy resources desperately needs to counter the high dependence on imported energy, recent high oil prices and the Climate Change Conference, and the government has operated the 'Renewable Portfolio Standard' (RPS) as one of the renewable energy policy from 2012. By analyzing the operation case of combined heat and power plant using the woodchip biomass, we drew the price of wood chip fuel, plant capacity factor, electricity selling price, heat selling price and LCOE value. After analyzing the economic feasibility of 3MWe combined heat and power plant based on the operating performance, the minimum of economic feasibility has appeared to be secured according to the internal rate of return (IRR) is 6.34% and the net present value (NPV) is 3.6 billion won as of 20 years life time after installation, and after analyzing the cases of the economic feasibility of the price of wood chip, plant capacity factor, electricity and heat selling price are changed, the economic feasibility is valuable when the price of wood chip is over 64,000 won/ton, NPV is minus, and the capacity factor is above 46.9%, the electricity selling price is 116 won/kWh and the heat selling price is above 75,600 won/Gcal. When going over the new installation hereafter, we need the detailed review of the woodchip storage and woodchip feeding system rather than the steam-turbine and boiler which have been inspected many times, the reason why is it's hard to secure the suitable quality (constant size) of woodchip by the lack of understanding about it as a fuel because of the domestic poor condition and the calorific value of woodchip is seriously volatile compared with other fuels.

• 자원ㆍ환경경제연구
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• 제24권3호
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• pp.573-605
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• 2015

본 논문은 2014년 7월과 2015년 7월부터 시행된 발전용 유연탄 과세와 LNG 세율 변경을 중심으로 세제 개편의 시나리오들을 설정하여 2029년까지의 SMP, 정산단가, 조세수입에 대한 영향을 추정하고, 시나리오 1(기준시나리오)의 값들과 비교하였다. 추정에서는 우리나라의 전력계통과 전력시장 운용방식에 특화한 모형과 전력수급기본계획 등의 정부 계획자료를 이용하여 전력계통 모의 실험을 실시하였다. 발전용 유연탄에 과세하고 조세중립성을 확보하기 위해 LNG에 대해서도 과세하는 경우에 단기에 SMP는 시나리오 1의 경우에 비해서 낮아진다. 원자력발전의 경우는 과세를 하여도 발전비용이 다른 발전원의 발전비용보다 작고, 원자력발전이 SMP를 결정하는 시간대가 거의 없기 때문에 과세가 SMP에 미치는 영향은 거의 없다. 따라서 SMP와 정산단가의 동조화관계가 성립한다면, 단기에 발전용 유연탄에 대한 과세로 에너지소비의 전력화현상을 둔화시키기는 어렵다. 그러나 중 장기에는 석탄발전설비가 충분히 확보되면 발전용 유연탄에 대한 과세는 SMP를 상승시키므로 세제 개편의 형태가 단기에 발전용 유연탄에만 과세하고 신규 유연탄 발전설비가 충분히 도입된 이후에 LNG에 대한 세율을 조정하면 에너지세제 개편으로 전기요금을 인상시켜서 전력수요를 감소시키려는 목적은 달성할 수 있을 것이다. 중 장기에는 발전설비의 확충으로 LNG복합발전기의 이용률이 낮아지므로 LNG에 대한 세율이 정산단가에 영향을 미치지 못한다. 원자력발전에 대한 과세는 SMP에 대한 영향과는 달리 정산조정계수의 영향으로 정산단가를 상승시켰다. 중 장기에 에너지세제가 갖는 순효과는 전력공급력의 확대에 따른 정산단가 하락이 에너지세제 부과에 따른 정산단가 상승을 상쇄시키는 정도에 따라서 달라질 것이다. 과세대상 중에서 원자력발전의 경우에 과세하는 경우에 추가적으로 발생하는 조세수입이 가장 컸다. 에너지세제의 형태와 조세수입의 관계를 보면 발전용 유연탄에 대한 세율이 높을수록, 그리고 원자력발전에 신규로 조세를 부과할수록 조세수입은 커진다.

• KIEE International Transactions on Power Engineering
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• 제5A권4호
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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.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 춘계학술대회 논문집
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• pp.390-398
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• 2008

While road traffic of sharp rise of an international oil price and capital Seoul reaches to critical point, and a use passenger drives recklessly on the subway which is a cradle of public transportation, the depths analyzes an electric power feed system regarding a ground wealth electric car line of the subway Line 2 East Section which is a long distance (Seongsu $\sim$ Gangbyeon), and future, electric power supply Feeder Distribution Center prepares to Operational Headway shortening along an ATO signal method change by feeder increase supplement, and ensure safety to an electric power supply system, and will solve inconvenience of safe operation and use passenger.

• Management Science and Financial Engineering
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• 제18권2호
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• pp.23-27
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• 2012

The problem of jointly determining a robust optimal bundle of price and order quantity for a retailer in a single-retailer, single supplier, single-product supply chain is considered. Demand is modeled as a decreasing power function of product price, and unit purchasing cost is modeled as a decreasing power function of order quantity and demand. Parameters defining the two power functions are uncertain but their possible values are characterized by ellipsoids. We extend a previous study in two ways; the purchasing cost function is generalized to take into account the economies of scale realized by higher product demand in addition to larger order quantity, and an exact transformation into an equivalent convex optimization program is developed instead of a geometric programming approximation scheme proposed in the previous study.