• Title/Summary/Keyword: Probabilistic production cost

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A Study on Probabilistic Production Costing for Solar Cell Generators (태양광발전원의 확률론적인 발전비용 산정에 관한 연구)

  • Park, Jeong-Je;Choi, Jae-Seok
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.4
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    • pp.700-707
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    • 2009
  • The application of renewable energy in electric power systems is growing rapidly in order to make provision for the inequality of the climate, the dwindling supplies of coal, oil and natural gas and a further rise in oil prices. Solar cell generators(SCG) is one of the fastest growing renewable energy. This paper presents a methodology on probabilistic production cost simulation of a power system including SCGs. The generated power by SCGs is variable due to the random variation of solar radiation. In order to solve this problem, the SCGs is modeled as multi-state operational model in this paper. Probabilistic production cost of a power system can be calculated by proposed method considering SCGs with multi-state. The results show that the impacts of SCGs added to a power system can be analyzed in view point of production cost using the proposed method.

Development of a New Numerical Analysis Method for Nodal Probabilistic Production Cost Simulation (각 부하지점별 확률론적 발전비용 산정을 위한 수치해석적 방법의 개발)

  • Kim, Hong-Sik;Mun, Seung-Pil;Choe, Jae-Seok;No, Dae-Seok;Cha, Jun-Min
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.50 no.9
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    • pp.431-439
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    • 2001
  • This Paper illustrates a new numerical analysis method using a nodal effective load model for nodal probabilistic production cost simulation of the load point in a composite power system. The new effective load model includes capacities and uncertainties of generators as well as transmission lines. The CMELDC(composite power system effective load duration curve) based on the new effective load model at HLll(Hierarchical Level H) has been developed also. The CMELDC can be obtained from convolution integral processing of the outage capacity probabilistic distribution function of the fictitious generator and the original load duration curve given at the load point. It is expected that the new model for the CMELDC proposed in this study will provide some solutions to many problems based on nodal and decentralized operation and control of an electric power systems under competition environment in future. The CMELDC based on the new model at HLll will extend the application areas of nodal probabilistic production cost simulation, outage cost assessment and reliability evaluation etc. at load points. The characteristics and effectiveness of this new model are illustrated by a case study of MRBTS(Modified Roy Billinton Test System).

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A Study on the Probabilistic Production Cost Calculation by the Developed EIGC Method. (확장된EIGC법에 의한 확업적 발전비 게산에 관한 연구)

  • 송길영;최재석;김용하
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.36 no.12
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    • pp.839-847
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    • 1987
  • The probabilistic production cost is calculated by the Expected Incremental Generation Cost Curve(EIGC) method based on the multi-state and multi-block operating conditions. For this, A new algorithm for determining production cost by the EIGC and the generation availability curve (GAC) had been developed in order to realize better economic olad dispatch and better reliability for power system operation. The simpler method for determining the EIGC and the GAC is proposed for convenience and saving in computation time.

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Probabilistic Production Cost Credit Evaluation of Wind Turbine Generators (풍력발전기의 확률론적 발전비용 절감기여도 평가)

  • Park, Jeong-Je;Wu, Liang;Choi, Jae-Seok;Cha, Jun-Min
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.12
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    • pp.2153-2160
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    • 2008
  • This paper develops an algorithm for probabilistic production cost credit evaluation of wind turbine generators(WTG) with multi-state. Renewable energy resources such as wind, wave, solar, micro hydro, tidal and biomass etc. are becoming importance stage by stage because of considering effect of the environment. Wind energy is one of the most successful sources of renewable energy for the production of electrical energy. Case study demonstrates that the wind speed credit in view point of economics can be assessed by using the proposed methodology.

Probabilistic Production Costing Model based on Economic Load Dispatch (경제급전방식에 의한 확률적 운전비계산 모델)

  • Shim, Keon-Bo;Lee, Bong-Yong;Shin, Chung-Rin;Kim, Jung-Hoon
    • Proceedings of the KIEE Conference
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    • 1987.07a
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    • pp.640-643
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    • 1987
  • A probabilistic production costing model based on the economic load dispatch has been developed. Objective function is composed of fuel cost which is a function of generation output and the failure cost. Coefficients of the failure cost is determined from the known equivalent generation cost. The model is compared with other existing methodolgies and the excellent results are obtained.

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Numerical Analysis Method for Nodal Probabilistic Production Cost Simulation (각 부하지점별 확률론적 발전비용 산정을 위한 수치해석적 방법)

  • Kim, Hong-Sik;Moon, Seung-Pil;Choi, Jae-Seok;Rho, Dae-Seok
    • Proceedings of the KIEE Conference
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    • 2001.05a
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    • pp.112-115
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    • 2001
  • This paper illustrates a new nodal effective load model for nodal probabilistic production cost simulation of the load point in a composite power system. The new effective load model includes capacities and uncertainties of generators as well as transmission lines. The CMELDC based on the new effective load model at HLII has been developed also. The CMELDC can be obtain from convolution integral processing of the outage capacity probabilistic distribution function of the fictitious generator and the original load duration curve given at the load point. It is expected that the new model for the CMELDC proposed. In this study will provide some solutions to many problems based on nodal and decentralized operation and control of an electric power systems under competition environment in future. The CMELDC based on the new model at HLII will extend the application areas of nodal probabilistic production cost simulation, outage cost assessment and reliability evaluation etc. at load points. The characteristics and effectiveness of this new model are illustrated by a case study of a test system.

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Nodal Probabilistic Production Cost Evaluation using Monte Carlo Simulation Methods (Monte Carlo Simulation을 이용한 각 부하지점별 확률론적 발전비산정)

  • Mun, Seung-Pil;Kim, Hong-Sik;Choe, Jae-Seok
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.51 no.9
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    • pp.425-432
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    • 2002
  • This Paper illustrates a method for evaluating nodal probabilistic production cost using the CMELDC. A new method for constructing CMELDC(CoMposite Power System Equivalent Load Duration Curve) has been developed by authors. The CMELDC can be obtained by convolution integral processing between the probability distribution functions of the fictitious generators outage capacity and the load duration curves at each load point. In general, if complex operating conditions are involved and/or the number of severe events is relatively large, Monte Carlo methods are more efficient. Because of that reason, Monte Carlo Methods are applied for the construction of CMELDC in this study. And IEEE-RTS 24 buses model is used as our case study with satisfactory results.

Development of a Program for Reliability and Probabilistic Production Cost Evaluation of Composite Power Systems using GUI (GUI를 이용한 복합전력계통의 신뢰도해석 및 확률론적 발전비산정 프로그램 개발)

  • Moon, Seung-Pil;Kim, Hong-Sik;Cha, Jun-Min;Rho, Dae-Seok;Choi, Jae-Seok
    • Proceedings of the KIEE Conference
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    • 2001.11b
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    • pp.243-245
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    • 2001
  • The reliability and probabilistic generation production cost evaluation of composite power systems are important for power system operation and expansion planning. This paper present a computer program which can evaluate the reliability and probabilistic generation production cost of composite power system using GUI(Graphic User Interface). In this computer program, Monte Carlo simulation methods and CMELDC(CoMposite power system Effective Load Duration Curve) were used.

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Assessment of the CO2 Emission Considering the Generator Maintenance Scheduling (발전기보수유지계획을 고려한 CO2배출량의 추정)

  • Jeon, Dong-Hoon;Park, Jeong-Je;Oh, Tae-Gon;Cho, Kyeong-Hee;Choi, Jae-Seok;Baek, Ung-Ki
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.9
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    • pp.1507-1513
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    • 2010
  • The $CO_2$ emission can be decreased due to freedom of generator maintenance scheduling(GMS). This paper proposes assessment of $CO_2$ emission considering generator maintenance scheduling(GMS) and evaluates effect of the GMS on $CO_2$ emission. And also, this paper assesses the $CO_2$ emission and the probabilistic production cost simulation of nuclear and thermal power generators considering operation of hydro and pumped generator. The minimum reliability criterion level satisfied production cost minimization function model is used in this paper. The practicality and effectiveness of the proposed approach are demonstrated by simulation studies for a real size power system in Korea in 2010.

A Basic Study on Relationship between Reliability and Congestion Cost of Composite Power System (복합전력계통의 신뢰도와 혼잡비용과의 상관관계성에 관한 기초 연구)

  • Choi, J.S.;Tran, T.T.;Kwon, J.J.;Jeong, S.H.;Bo, Shi;Mount, Timothy;Thomas, Robert
    • Proceedings of the KIEE Conference
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    • 2006.11a
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    • pp.275-278
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    • 2006
  • This paper describes a probabilistic annual congestion cost assessment of a grid at a composite power system derived from a model. This probabilistic congestion cost assessment simulation model includes capacity limitation and uncertainties of the generators and transmission lines. In this paper, the proposed probabilistic congestion cost assessment model is focused on an annualized simulation methodology for solving long-term grid expansion planning issues. It emphasizes the questions of "how should the uncertainties of system elements (generators, lines and transformers, etc.) be considered for annual congestion cost assessment from the macro economic view point"? This simulation methodology comes essentially from a probabilistic production cost simulation model of composite power systems. This type of model comes from a nodal equivalent load duration curve based on a new effective load model at load points. The characteristics and effectiveness of this new simulation model are illustrated by several case studies of a test system.

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