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Day-ahead resource scheduling of a renewable energy based virtual power plant

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  • Zamani, Ali Ghahgharaee
  • Zakariazadeh, Alireza
  • Jadid, Shahram

Abstract

The evolution of energy markets is accelerating in the direction of a greater reliance upon distributed energy resources (DERs). To manage this increasing two-way complexity, virtual power plants (VPPs) are being deployed today all over the world. In this paper, a probabilistic model for optimal day ahead scheduling of electrical and thermal energy resources in a VPP is proposed where participation of energy storage systems and demand response programs (DRPs) are also taken into account. In the proposed model, energy and reserve is simultaneously scheduled considering the uncertainties of market prices, electrical demand and intermittent renewable power generation. The Point Estimate Method (PEM) is applied in order to model the uncertainties of VPP’s scheduling problem. Moreover, the optimal reserve scheduling of VPP is presented which efficiently decreases VPP’s risk facing the unexpected fluctuations of uncertain parameters at the power delivery time. The results demonstrated that implementation of demand response programs (DRPs) would decrease total operation costs of VPP as well as its dependency on the upstream network.

Suggested Citation

  • Zamani, Ali Ghahgharaee & Zakariazadeh, Alireza & Jadid, Shahram, 2016. "Day-ahead resource scheduling of a renewable energy based virtual power plant," Applied Energy, Elsevier, vol. 169(C), pages 324-340.
  • Handle: RePEc:eee:appene:v:169:y:2016:i:c:p:324-340
    DOI: 10.1016/j.apenergy.2016.02.011
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    2. repec:eee:appene:v:207:y:2017:i:c:p:176-194 is not listed on IDEAS
    3. Rahmani-Dabbagh, Saeed & Sheikh-El-Eslami, Mohammad Kazem, 2016. "A profit sharing scheme for distributed energy resources integrated into a virtual power plant," Applied Energy, Elsevier, vol. 184(C), pages 313-328.
    4. Nikoobakht, Ahmad & Aghaei, Jamshid & Mardaneh, Mohammad, 2017. "Securing highly penetrated wind energy systems using linearized transmission switching mechanism," Applied Energy, Elsevier, vol. 190(C), pages 1207-1220.
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    10. repec:eee:renene:v:113:y:2017:i:c:p:596-607 is not listed on IDEAS
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    12. Reihani, Ehsan & Motalleb, Mahdi & Thornton, Matsu & Ghorbani, Reza, 2016. "A novel approach using flexible scheduling and aggregation to optimize demand response in the developing interactive grid market architecture," Applied Energy, Elsevier, vol. 183(C), pages 445-455.
    13. Lemmer, Andreas & Krümpel, Johannes, 2017. "Demand-driven biogas production in anaerobic filters," Applied Energy, Elsevier, vol. 185(P1), pages 885-894.
    14. repec:eee:appene:v:205:y:2017:i:c:p:294-303 is not listed on IDEAS
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    16. Nosratabadi, Seyyed Mostafa & Hooshmand, Rahmat-Allah & Gholipour, Eskandar, 2017. "A comprehensive review on microgrid and virtual power plant concepts employed for distributed energy resources scheduling in power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 341-363.
    17. repec:eee:appene:v:222:y:2018:i:c:p:932-950 is not listed on IDEAS
    18. repec:eee:energy:v:148:y:2018:i:c:p:1-15 is not listed on IDEAS

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