• Title/Summary/Keyword: Restructuring of power industry

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Forecasting of new businesses after restructuring of power industry

  • Koo, Young-Duk;Kim, Eun-Sun;Park, Young-Seo
    • Journal of information and communication convergence engineering
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    • v.2 no.2
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    • pp.116-118
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    • 2004
  • In the power industry after restructuring of Power industry will be appeared on-site type business, power retail sales business, and power wholesales business, power dealing business, customer inclination business & delivery of power facilities. Among them, power trade business, customer inclination business and on-site type business will be rapidly increased and occupied attention. In addition, it is forecasted to advent the broker, provider, market place, power marketer, system operator and generator as a main player. Meanwhile, it needs protection of existing power industry and activation of new energy market for accomplishment of restructuring of power industry.

Development of a System Dynamics Model for the Electric Power Generation Mix Forecasting in the Competitive Electricity Market (전원구성비율 예측을 위한 System Dynamics모형 개발)

  • 홍정석;곽상만;나기룡;박문희;최기련
    • Korean System Dynamics Review
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    • v.4 no.1
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    • pp.33-53
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    • 2003
  • How to maintain the optimal electric power generation mix is one of the important problems in electric power industry. The objective of this study is to develop a computer model which can be used to forecast the investment in power generation unit by the plant owners after restructuring of electric power industry. Restructuring of electric power industry will make difference in decision making process of investment in power generation unit. After Privatiazation of Power Industry, Gencos will think that profit is the most important factor among all others attracting the investment in the industry. Coal power generation is better than LNG CCGT in terms of profit. However, many studies show that LNG CCGT will be main electric power generation source because the rest of factors other than profit in LNG CCGT are superior than Coal power generation. Because the nst of factors other than profit in LNG CCGT are superior than Coal power generation. The impacts of the various government policies can be analyzed using the computer model, thus the government can formulate effective policies for achieving the desired electric power generation mix.

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A Study on Forecast of Electric Power Generation Mix in the Competitive Electricity Market (전력산업 구조개편 이후 전원구성비율 예측에 관한 연구)

  • Hong, Jung-Suk;Kwak, Sang-Man;Park, Moon-Hee;Choi, Ki-Ryun
    • IE interfaces
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    • v.17 no.3
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    • pp.269-281
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    • 2004
  • How to maintain the optimal electric power generation mix is one of the important problems in electric power industry. The objective of this study is to develop a computer model which can be used to forecast the investment in power generation unit by the plant owners after restructuring of electric power industry. Restructuring of electric power industry will make difference in decision making process of investment in power generation unit. After Privatiazation of Power Industry, Gencos will think that profit is the most important factor among all others attracting the investment in the industry. Coal power generation is better than LNG CCGT in terms of profit. However, many studies show that LNG CCGT will be main electric power generation source because the rest of factors other than profit in LNG CCGT are superior than Coal power generation. The impacts of the various government policies can be analyzed using the computer model, thus the government can formulate effective policies for achieving the desired electric power generation mix.

Important Role of Power Exchange in Conducting Futures Market for Stabilizing Electric Power Industry in Transition

  • Yoon, Yong T.
    • KIEE International Transactions on Power Engineering
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    • v.3A no.1
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    • pp.53-60
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    • 2003
  • At present the electric power industry in Korea is going through a major restructuring process. The restructuring is motivated by a desire to reduce electricity supply costs, to attract new in-vestment in modern generation, transmission and distribution facilities, and to stimulate innovation in the wholesale production and the retail supply of electricity. The experience to date shows that restructuring of electric power industry in the US, however, is marred with a number of problematic market performances including unreasonably high prices at wholesale. This paper investigates the important role of Power Exchange for stabilizing electric power industry in transition by offering various financial products. These financial products are used for risk hedging by the market participants. The paper focuses on the risk hedging by an individual supplier and derives an explicit decision rule that incorporates the attitude towards the risks. In addition to providing the financial products for risk hedging by market participants, the Power Exchange plays another very important role of financial safeguard system. Because of its unique characteristics, the Power Exchange is well suited for financial surveillance where it performs the early detection of unsound financial (and to a large extent operational) practices on the part of any system users and protect the system integrity and the market participants from the consequences of a default in the clearing structure.

A Study on Measures to Boost the Development of Distributed Generation through Analysis and assessment of the District Electricity Power Business Environment (구역전기사업의 환경분석을 평가를 통한 분산형전원개발 촉진방안에 관한 연구)

  • Kim, Soo-Chul;Yoo, Wang-Jin
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.7
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    • pp.1304-1312
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    • 2009
  • The purpose of this study is to build promotive measures and to develop alternative policies of DG(Distributed Generation) by finding and analysing effects of four business environment factors related to DEPB(District Electricity Power Business) on boosting DG. In this study, four business environment factors, which are the electric power industry restructuring, electricity tariff and pricing structure, regulations for DEPB, and conflicts of stake-holding groups, are considered as independent variables. And promotion factors of DG including small CHP(Combined Heat and Power) generation, which is outcome of DEPB, are considered as dependent variables. But dependent variables including booming of new renewable energy generation due to green energy pricing incentives, the electric power industry restructuring, and electricity tariff and pricing policies were separatively considered. In this study, some policies were proposed reflecting research results of empirical demonstrative analysis, previous studies, overseas cases, etc.

Building Industrial Competitiveness in the Global Production Network: A Case Study on the Cosmetics Industry in Korea (글로벌생산네트워크 상에서의 산업경쟁력 강화 프로세스: 한국화장품산업을 중심으로)

  • Lee, Kyung Jin
    • Journal of the Economic Geographical Society of Korea
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    • v.16 no.4
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    • pp.597-612
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    • 2013
  • The purpose of this paper is to examine the building process of industrial competitiveness of the Korean cosmetics industry in the global production network. For this study, cosmetics industry in Korea is selected as a research subject. Secondary data and the Korea Health Industry Statistics are analyzed to examine the overall changes of the cosmetics firms under the changes of global economy overtime. In-depth interviews of the case firms are also conducted to understand the old and new corporate strategies which locate with the sustainability and competitive advantages under an uncertain environment. As a result of the restructuring processes, the Korea cosmetics industry has upgraded its position as an innovative power in the world cosmetics industry. In addition, during the restructuring processes, cosmetics industry is overwhelmingly concentrated in the Capital Region, reflecting intensification of agglomeration economies.

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Market Power in the Korea Wholesale Electricity Market (우리나라 전력시장에서의 시장지배력 행사)

  • Kim, Hyun-Shil;Ahn, Nam-Sung
    • Korean System Dynamics Review
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    • v.6 no.1
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    • pp.99-123
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    • 2005
  • Although the generation market is competitive, the power market is easily exercised the market power by one generator due to its special futures such as a limited supplier, large investment cost, transmission constraints and loss. Specially, as Korea Electric industry restructuring is similar US competitive wholesale electricity market structure which discovered the several evidences of market power abuse, when restructuring is completed the possibility that market power will be exercised is big. Market power interferes with market competitions and efficiency of system. The goal of this study is to investigate the market price effects of the potential market power and the proposed market power mitigation strategy in Korean market using the forecasting wholesale electricity market model. This modeling is developed based on the system dynamics approach. it can analyze the dynamic behaviors of wholesale prices in Korean market. And then it is expanded to include the effect of market condition changed by 'strategic behavior' and 'real time pricing.' This model can generate the overall insights regarding the dynamic impact of output withholding by old gas fire power plant bon as a marginal plant in Korean market at the macro level. Also it will give the energy planner the opportunity to create different scenarios for the future for deregulated wholesales market in Korea.

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A Study on Forecating of Electric Power Generation Mix in the Competitive Electricity Market (전력산업 구조개편 이후 전원구성비율 예측에 관한 연구)

  • 홍정석;곽상만;권병훈;나기룡;최기련
    • Proceedings of the Korean System Dynamics Society
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    • 2003.08a
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    • pp.49-81
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    • 2003
  • It is one of the important problems how to maintain the optimal electric power generation mix. The Objective of this study is development of a computer model which can be used to forecast the investment of power generation unit by the plant owners after restructuring the electricity industry. The impacts of the various government policies can be analyzed using the computer model, thus the government can formulate effective policies for achieving the desired electric power generation mix.

  • PDF