• Title/Summary/Keyword: Electric power generation

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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.

Renewable Power Generation Forecasting Method for Distribution System: A Review (배전시스템 운영계획을 위한 신재생에너지원 발전량 예측 방법)

  • Cho, Jintae;Kim, Hongjoo;Ryu, Hosung;Cho, Youngpyo
    • 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.

hydraulic-power generation of electricity plan of multi-Purpose dam in electric Power system (전력계통에서의 다목적댐 수력발전계획)

  • Kim, Seung-Hyo;Ko, Young-Hoan;Hwang, In-Kwang
    • Proceedings of the KIEE Conference
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    • 1999.07c
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    • pp.1248-1252
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    • 1999
  • To provide electricity power of good quality, it is essential to establish generation of electricity plan in electric power system based on accurate power-demand prediction and cope with changes of power-need fluctuating constantly. The role of hydraulic-power generation of electricity in electric power system is of importance because responding to electric power-demand counts or reservoir-type hydraulic-power generation of electricity which is designed for additional load in electric power system. So hydraulic-power generation of electricity must have fast start reserve. But the amount of water, resources of reservoir-type hydraulic-power generation of electricity is restricted and multi-used, so the scheduling of management by exact forecasting the amount of water is critical. That is why efficient hydraulic-power generation of electricity makes a main role on pumping up the utility of energy and water resource. This thesis introduced the example of optimal generation of electricity plan establishment which is used in managing reservoir-type hydraulic-power generation of electricity.

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Periodically Poled BaTiO3: An Excellent Crystal for Terahertz Wave Generation by Cascaded Difference-frequency Generation

  • Li, Zhongyang;Yuan, Bin;Wang, Silei;Wang, Mengtao;Bing, Pibin
    • Current Optics and Photonics
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    • v.2 no.2
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    • pp.179-184
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    • 2018
  • Terahertz (THz) wave generation by periodically poled $BaTiO_3$ (PPBT) with a quasi-phase-matching (QPM) scheme based on cascaded difference-frequency generation (DFG) is theoretically analyzed. The cascaded DFG processes comprise cascaded Stokes and anti-Stokes processes. The calculated results indicate that the cascaded Stokes processes are stronger than the cascaded anti-Stokes processes. Compared to a noncascaded Stokes process, THz intensities from $20^{th}$-order cascaded Stokes processes increase by a factor of 30. THz waves with a maximum intensity of $0.37MW/mm^2$ can be generated by $20^{th}$-order cascaded DFG processes when the optical intensity is $10MW/mm^2$, corresponding to a quantum conversion efficiency of 1033%. The high quantum conversion efficiency of 1033% exceeds the Manley-Rowe limit, which indicates that PPBT is an excellent crystal for THz wave generation via cascaded DFG.