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Improved Stochastic Modeling: An Essential Tool for Power System Scheduling in the Presence of Uncertain Renewables

In: New Developments in Renewable Energy

Author

Listed:
  • Sajjad Abedi
  • Gholam Riahy
  • Seyed Hossein Hosseinian
  • Mehdi Farhadkhani

Abstract

No abstract is available for this item.

Suggested Citation

  • Sajjad Abedi & Gholam Riahy & Seyed Hossein Hosseinian & Mehdi Farhadkhani, 2013. "Improved Stochastic Modeling: An Essential Tool for Power System Scheduling in the Presence of Uncertain Renewables," Chapters, in: Hasan Arman & Ibrahim Yuksel (ed.), New Developments in Renewable Energy, IntechOpen.
    • Handle: RePEc:ito:pchaps:86060
    DOI: 10.5772/52161
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    Citations

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    Cited by:

    1. Zepter, Jan Martin & Weibezahn, Jens, 2019. "Unit commitment under imperfect foresight – The impact of stochastic photovoltaic generation," Applied Energy, Elsevier, vol. 243(C), pages 336-349.
    2. Xiaolin Ayón & María Ángeles Moreno & Julio Usaola, 2017. "Aggregators’ Optimal Bidding Strategy in Sequential Day-Ahead and Intraday Electricity Spot Markets," Energies, MDPI, vol. 10(4), pages 1-20, April.
    3. Norouzi, Hadi & Abedi, Sajjad & Jamalzadeh, Reza & Rad, Milad Ghiasi & Hosseinian, Seyed Hossein, 2014. "Modeling and investigation of harmonic losses in optimal power flow and power system locational marginal pricing," Energy, Elsevier, vol. 68(C), pages 140-147.
    4. Benseddik, A. & Azzi, A. & Chellali, F. & Khanniche, R. & Allaf, k., 2018. "An analysis of meteorological parameters influencing solar drying systems in Algeria using the isopleth chart technique," Renewable Energy, Elsevier, vol. 122(C), pages 173-183.

    More about this item

    JEL classification:

    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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