The Experts below are selected from a list of 32766 Experts worldwide ranked by ideXlab platform

Kenji Yamaji - One of the best experts on this subject based on the ideXlab platform.

  • Evaluation of electric power procurement strategies by stochastic dynamic programming
    Electrical Engineering in Japan, 2007
    Co-Authors: Yuichi Saisho, Taketo Hayashi, Yasumasa Fujii, Kenji Yamaji
    Abstract:

    In deregulated electricity markets, the role of a distribution company is to purchase electricity from the wholesale electricity market at randomly fluctuating prices and to provide it to its customers at a given fixed price. Therefore, the company has to take risk stemming from the uncertainties of electricity prices and/or demand fluctuation instead of the customers. The way to avoid the risk is to make a bilateral contract with generating companies or install its own power Generation Facility. This entails the necessity to develop a certain method to make an optimal strategy for electric power procurement. In such a circumstance, this research proposes a mathematical method based on stochastic dynamic programming and considers the characteristics of the start-up cost of an electric power Generation Facility to evaluate strategies of combination of the bilateral contract and power auto-Generation with its own Facility for procuring electric power in a deregulated electricity market. In the beginning we proposed two approaches to solve the stochastic dynamic programming, and they are a Monte Carlo simulation method and a finite difference method to derive the solution of a partial differential equation of the total procurement cost of electric power. Finally we discussed the influences of the prime uncertainty on optimal strategies of power procurement. © 2007 Wiley Periodicals, Inc. Electr Eng Jpn, 160(2): 20–29, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/eej.20296

  • Evaluation of Electric Power Procurement Strategies by Stochastic Dynamic Programming
    IEEJ Transactions on Power and Energy, 2005
    Co-Authors: Yuichi Saisho, Taketo Hayashi, Yasumasa Fujii, Kenji Yamaji
    Abstract:

    In deregulated electricity markets, the role of a distribution company is to purchase electricity from the wholesale electricity market at randomly fluctuating prices and to provide it to its customers at a given fixed price. Therefore the company has to take risk stemming from the uncertainties of electricity prices and/or demand fluctuation instead of the customers. The way to avoid the risk is to make a bilateral contact with generating companies or install its own power Generation Facility. This entails the necessity to develop a certain method to make an optimal strategy for electric power procurement.In such a circumstance, this research has the purpose for proposing a mathematical method based on stochastic dynamic programming and additionally considering the characteristics of the start-up cost of electric power Generation Facility to evaluate strategies of combination of the bilateral contract and power auto-Generation with its own Facility for procuring electric power in deregulated electricity market. In the beginning we proposed two approaches to solve the stochastic dynamic programming, and they are a Monte Carlo simulation method and a finite difference method to derive the solution of a partial differential equation of the total procurement cost of electric power. Finally we discussed the influences of the price uncertainty on optimal strategies of power procurement.

Yuichi Saisho - One of the best experts on this subject based on the ideXlab platform.

  • Evaluation of electric power procurement strategies by stochastic dynamic programming
    Electrical Engineering in Japan, 2007
    Co-Authors: Yuichi Saisho, Taketo Hayashi, Yasumasa Fujii, Kenji Yamaji
    Abstract:

    In deregulated electricity markets, the role of a distribution company is to purchase electricity from the wholesale electricity market at randomly fluctuating prices and to provide it to its customers at a given fixed price. Therefore, the company has to take risk stemming from the uncertainties of electricity prices and/or demand fluctuation instead of the customers. The way to avoid the risk is to make a bilateral contract with generating companies or install its own power Generation Facility. This entails the necessity to develop a certain method to make an optimal strategy for electric power procurement. In such a circumstance, this research proposes a mathematical method based on stochastic dynamic programming and considers the characteristics of the start-up cost of an electric power Generation Facility to evaluate strategies of combination of the bilateral contract and power auto-Generation with its own Facility for procuring electric power in a deregulated electricity market. In the beginning we proposed two approaches to solve the stochastic dynamic programming, and they are a Monte Carlo simulation method and a finite difference method to derive the solution of a partial differential equation of the total procurement cost of electric power. Finally we discussed the influences of the prime uncertainty on optimal strategies of power procurement. © 2007 Wiley Periodicals, Inc. Electr Eng Jpn, 160(2): 20–29, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/eej.20296

  • Evaluation of Electric Power Procurement Strategies by Stochastic Dynamic Programming
    IEEJ Transactions on Power and Energy, 2005
    Co-Authors: Yuichi Saisho, Taketo Hayashi, Yasumasa Fujii, Kenji Yamaji
    Abstract:

    In deregulated electricity markets, the role of a distribution company is to purchase electricity from the wholesale electricity market at randomly fluctuating prices and to provide it to its customers at a given fixed price. Therefore the company has to take risk stemming from the uncertainties of electricity prices and/or demand fluctuation instead of the customers. The way to avoid the risk is to make a bilateral contact with generating companies or install its own power Generation Facility. This entails the necessity to develop a certain method to make an optimal strategy for electric power procurement.In such a circumstance, this research has the purpose for proposing a mathematical method based on stochastic dynamic programming and additionally considering the characteristics of the start-up cost of electric power Generation Facility to evaluate strategies of combination of the bilateral contract and power auto-Generation with its own Facility for procuring electric power in deregulated electricity market. In the beginning we proposed two approaches to solve the stochastic dynamic programming, and they are a Monte Carlo simulation method and a finite difference method to derive the solution of a partial differential equation of the total procurement cost of electric power. Finally we discussed the influences of the price uncertainty on optimal strategies of power procurement.

Yasumasa Fujii - One of the best experts on this subject based on the ideXlab platform.

  • Evaluation of electric power procurement strategies by stochastic dynamic programming
    Electrical Engineering in Japan, 2007
    Co-Authors: Yuichi Saisho, Taketo Hayashi, Yasumasa Fujii, Kenji Yamaji
    Abstract:

    In deregulated electricity markets, the role of a distribution company is to purchase electricity from the wholesale electricity market at randomly fluctuating prices and to provide it to its customers at a given fixed price. Therefore, the company has to take risk stemming from the uncertainties of electricity prices and/or demand fluctuation instead of the customers. The way to avoid the risk is to make a bilateral contract with generating companies or install its own power Generation Facility. This entails the necessity to develop a certain method to make an optimal strategy for electric power procurement. In such a circumstance, this research proposes a mathematical method based on stochastic dynamic programming and considers the characteristics of the start-up cost of an electric power Generation Facility to evaluate strategies of combination of the bilateral contract and power auto-Generation with its own Facility for procuring electric power in a deregulated electricity market. In the beginning we proposed two approaches to solve the stochastic dynamic programming, and they are a Monte Carlo simulation method and a finite difference method to derive the solution of a partial differential equation of the total procurement cost of electric power. Finally we discussed the influences of the prime uncertainty on optimal strategies of power procurement. © 2007 Wiley Periodicals, Inc. Electr Eng Jpn, 160(2): 20–29, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/eej.20296

  • Evaluation of Electric Power Procurement Strategies by Stochastic Dynamic Programming
    IEEJ Transactions on Power and Energy, 2005
    Co-Authors: Yuichi Saisho, Taketo Hayashi, Yasumasa Fujii, Kenji Yamaji
    Abstract:

    In deregulated electricity markets, the role of a distribution company is to purchase electricity from the wholesale electricity market at randomly fluctuating prices and to provide it to its customers at a given fixed price. Therefore the company has to take risk stemming from the uncertainties of electricity prices and/or demand fluctuation instead of the customers. The way to avoid the risk is to make a bilateral contact with generating companies or install its own power Generation Facility. This entails the necessity to develop a certain method to make an optimal strategy for electric power procurement.In such a circumstance, this research has the purpose for proposing a mathematical method based on stochastic dynamic programming and additionally considering the characteristics of the start-up cost of electric power Generation Facility to evaluate strategies of combination of the bilateral contract and power auto-Generation with its own Facility for procuring electric power in deregulated electricity market. In the beginning we proposed two approaches to solve the stochastic dynamic programming, and they are a Monte Carlo simulation method and a finite difference method to derive the solution of a partial differential equation of the total procurement cost of electric power. Finally we discussed the influences of the price uncertainty on optimal strategies of power procurement.

Taketo Hayashi - One of the best experts on this subject based on the ideXlab platform.

  • Evaluation of electric power procurement strategies by stochastic dynamic programming
    Electrical Engineering in Japan, 2007
    Co-Authors: Yuichi Saisho, Taketo Hayashi, Yasumasa Fujii, Kenji Yamaji
    Abstract:

    In deregulated electricity markets, the role of a distribution company is to purchase electricity from the wholesale electricity market at randomly fluctuating prices and to provide it to its customers at a given fixed price. Therefore, the company has to take risk stemming from the uncertainties of electricity prices and/or demand fluctuation instead of the customers. The way to avoid the risk is to make a bilateral contract with generating companies or install its own power Generation Facility. This entails the necessity to develop a certain method to make an optimal strategy for electric power procurement. In such a circumstance, this research proposes a mathematical method based on stochastic dynamic programming and considers the characteristics of the start-up cost of an electric power Generation Facility to evaluate strategies of combination of the bilateral contract and power auto-Generation with its own Facility for procuring electric power in a deregulated electricity market. In the beginning we proposed two approaches to solve the stochastic dynamic programming, and they are a Monte Carlo simulation method and a finite difference method to derive the solution of a partial differential equation of the total procurement cost of electric power. Finally we discussed the influences of the prime uncertainty on optimal strategies of power procurement. © 2007 Wiley Periodicals, Inc. Electr Eng Jpn, 160(2): 20–29, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/eej.20296

  • Evaluation of Electric Power Procurement Strategies by Stochastic Dynamic Programming
    IEEJ Transactions on Power and Energy, 2005
    Co-Authors: Yuichi Saisho, Taketo Hayashi, Yasumasa Fujii, Kenji Yamaji
    Abstract:

    In deregulated electricity markets, the role of a distribution company is to purchase electricity from the wholesale electricity market at randomly fluctuating prices and to provide it to its customers at a given fixed price. Therefore the company has to take risk stemming from the uncertainties of electricity prices and/or demand fluctuation instead of the customers. The way to avoid the risk is to make a bilateral contact with generating companies or install its own power Generation Facility. This entails the necessity to develop a certain method to make an optimal strategy for electric power procurement.In such a circumstance, this research has the purpose for proposing a mathematical method based on stochastic dynamic programming and additionally considering the characteristics of the start-up cost of electric power Generation Facility to evaluate strategies of combination of the bilateral contract and power auto-Generation with its own Facility for procuring electric power in deregulated electricity market. In the beginning we proposed two approaches to solve the stochastic dynamic programming, and they are a Monte Carlo simulation method and a finite difference method to derive the solution of a partial differential equation of the total procurement cost of electric power. Finally we discussed the influences of the price uncertainty on optimal strategies of power procurement.

Farid Paul Dawalibi - One of the best experts on this subject based on the ideXlab platform.

  • Grounding Analysis of a Solar Power Generation Facility
    2010 Asia-Pacific Power and Energy Engineering Conference, 2010
    Co-Authors: Jinxi Ma, Farid Paul Dawalibi
    Abstract:

    This paper presents a grounding study for a solar power Generation Facility. The procedures of the grounding study are described and computation results are presented. The special considerations introduced in the grounding study by the physical characteristics of solar power Generation facilities are discussed. The procedures and the special considerations presented in this paper can be used as a guide when carrying out grounding analysis of a solar power Generation Facility.