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Robust Energy Procurement of Large Electricity Consumers pp 125–143Cite as

Energy Procurement via Hybrid IGDT-Stochastic Approach

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Abstract

By using information gap decision theory (IGDT), the positive and negative aspects of the uncertainty can be analyzed. However, only one uncertain parameter can be modeled by the IGDT. In this chapter, a novel hybrid IGDT-stochastic approach is introduced to model different uncertainties in the system and utilized benefits of the IGDT and stochastic programming methods. In the power procurement problem of the large consumer, uncertainty of load demand and power output of renewable sources are modeled by a set of scenarios, and power price is modeled using the IGDT method to evaluate the positive and negative aspects of power price in the market. It should be noted that the scenarios of load demand and solar irradiation are generated by normal distribution, and the Weibull distribution is used to generate the wind speed scenarios. The application of the hybrid IGDT-stochastic method is analyzed providing numerical studies.

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Author information

Authors and Affiliations

  1. Young Researchers and Elite Club, Ardabil Branch, Islamic Azad University, Ardabil, Iran

    Ehsan Zargin & Raouf Morsali Asl

Authors
  1. Ehsan Zargin
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  2. Raouf Morsali Asl
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Bonab, Bonab, Iran

    Sayyad Nojavan

  2. Sharif University of Technology, Knowledge Management Office, Tehran, Iran

    Mahdi Shafieezadeh

  3. Young Researchers and Elite Club, Ardabil Branch, Islamic Azad University, Ardabil, Iran

    Noradin Ghadimi

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Zargin, E., Asl, R.M. (2019). Energy Procurement via Hybrid IGDT-Stochastic Approach. In: Nojavan, S., Shafieezadeh, M., Ghadimi, N. (eds) Robust Energy Procurement of Large Electricity Consumers . Springer, Cham. https://doi.org/10.1007/978-3-030-03229-6_7

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  • DOI: https://doi.org/10.1007/978-3-030-03229-6_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03228-9

  • Online ISBN: 978-3-030-03229-6

  • eBook Packages: EnergyEnergy (R0)

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