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Flexible security-constrained scheduling of wind power enabling time of use pricing scheme

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  • Heydarian-Forushani, E.
  • Golshan, M.E.H.
  • Shafie-khah, M.

Abstract

Power systems have been conventionally involved with uncertainty and variability due to unpredictable network component contingencies. Recently, large penetration of variable generations has made this variability even worse than before and drives a need for greater flexibility. This paper proposes a flexible security-constrained framework which coordinates supply-side and demand-side in an appropriate way to meet the need for this greater flexibility toward a secure, economic, and green power grid. In the proposed model, conventional units are contributed to flexibility enhancement through providing up and down operational reserves while demand-side flexibility is enabled via an optimal TOU (time of use) pricing scheme as a most prevalent time-based rate demand response programs. Since increasing the share of renewable resources reduces the electricity market prices, it may lead through a situation in which customers do not have enough tendencies to response in expose to the TOU rates. Hence, the paper concludes with determination of optimal TOU tariff rates in the face of high penetration of wind power as well as network contingencies.

Suggested Citation

  • Heydarian-Forushani, E. & Golshan, M.E.H. & Shafie-khah, M., 2015. "Flexible security-constrained scheduling of wind power enabling time of use pricing scheme," Energy, Elsevier, vol. 90(P2), pages 1887-1900.
    • Handle: RePEc:eee:energy:v:90:y:2015:i:p2:p:1887-1900
    DOI: 10.1016/j.energy.2015.07.014
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    References listed on IDEAS

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    1. Behrangrad, Mahdi & Sugihara, Hideharu & Funaki, Tsuyoshi, 2011. "Effect of optimal spinning reserve requirement on system pollution emission considering reserve supplying demand response in the electricity market," Applied Energy, Elsevier, vol. 88(7), pages 2548-2558, July.
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    Citations

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    Cited by:

    1. Talari, Saber & Shafie-khah, Miadreza & Osório, Gerardo J. & Aghaei, Jamshid & Catalão, João P.S., 2018. "Stochastic modelling of renewable energy sources from operators' point-of-view: A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1953-1965.
    2. Yang, Shu-Xia & Nie, Tian-qi & Li, Cheng-Cheng, 2022. "Research on the contribution of regional Energy Internet emission reduction considering time-of-use tariff," Energy, Elsevier, vol. 239(PB).
    3. Tabandeh, Abbas & Abdollahi, Amir & Rashidinejad, Masoud, 2016. "Reliability constrained congestion management with uncertain negawatt demand response firms considering repairable advanced metering infrastructures," Energy, Elsevier, vol. 104(C), pages 213-228.
    4. Heydarian-Forushani, E. & Golshan, M.E.H. & Siano, Pierluigi, 2017. "Evaluating the benefits of coordinated emerging flexible resources in electricity markets," Applied Energy, Elsevier, vol. 199(C), pages 142-154.
    5. Esmaeily, Ali & Ahmadi, Abdollah & Raeisi, Fatima & Ahmadi, Mohammad Reza & Esmaeel Nezhad, Ali & Janghorbani, Mohammadreza, 2017. "Evaluating the effectiveness of mixed-integer linear programming for day-ahead hydro-thermal self-scheduling considering price uncertainty and forced outage rate," Energy, Elsevier, vol. 122(C), pages 182-193.
    6. Heydarian-Forushani, Ehsan & Golshan, Mohamad Esmail Hamedani & Shafie-khah, Miadreza & Catalão, João P.S., 2020. "A comprehensive linear model for demand response optimization problem," Energy, Elsevier, vol. 209(C).
    7. Nikoobakht, Ahmad & Aghaei, Jamshid & Mardaneh, Mohammad, 2016. "Managing the risk of uncertain wind power generation in flexible power systems using information gap decision theory," Energy, Elsevier, vol. 114(C), pages 846-861.

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