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Operation of a fully renewable electric energy system with CSP plants

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  • Domínguez, R.
  • Conejo, A.J.
  • Carrión, M.

Abstract

This paper analyzes the operation of a fully renewable electric energy system from the viewpoint of the system operator. The generation system is dominated by concentrating solar power plants (CSP) with storage, and includes wind and biomass power plants and pumped-storage facilities. The transmission network is represented using a dc approximation, the demand is considered elastic and the uncertainty of renewable production is modeled via scenarios. To carry out the analysis, we use a two-stage stochastic programming model that represents the day-ahead market (first stage) and the actual operation of the system (second stage). This model is recast as a mixed-integer linear programming problem solvable using branch-and-cut techniques. The proposed model is applied to a realistic case study based on the IEEE 118-node system and solar/wind data from Texas, US. The impact on operation and operation cost of the system flexibility and of the operation and maintenance costs of renewable energies are analyzed. Finally, we study the operation of the system throughout the four seasons of the year.

Suggested Citation

  • Domínguez, R. & Conejo, A.J. & Carrión, M., 2014. "Operation of a fully renewable electric energy system with CSP plants," Applied Energy, Elsevier, vol. 119(C), pages 417-430.
  • Handle: RePEc:eee:appene:v:119:y:2014:i:c:p:417-430
    DOI: 10.1016/j.apenergy.2014.01.014
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    References listed on IDEAS

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    5. Pandžić, Hrvoje & Morales, Juan M. & Conejo, Antonio J. & Kuzle, Igor, 2013. "Offering model for a virtual power plant based on stochastic programming," Applied Energy, Elsevier, vol. 105(C), pages 282-292.
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    Cited by:

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    6. Zhao, Yuxuan & Liu, Shengyuan & Lin, Zhenzhi & Wen, Fushuan & Ding, Yi, 2021. "Coordinated scheduling strategy for an integrated system with concentrating solar power plants and solar prosumers considering thermal interactions and demand flexibilities," Applied Energy, Elsevier, vol. 304(C).
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    12. Coronas, Sergio & Martín, Helena & de la Hoz, Jordi & García de Vicuña, Luis & Castilla, Miguel, 2021. "MONTE-CARLO probabilistic valuation of concentrated solar power systems in Spain under the 2014 retroactive regulatory framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    13. Du, Ershun & Zhang, Ning & Hodge, Bri-Mathias & Kang, Chongqing & Kroposki, Benjamin & Xia, Qing, 2018. "Economic justification of concentrating solar power in high renewable energy penetrated power systems," Applied Energy, Elsevier, vol. 222(C), pages 649-661.
    14. Feng Qi & Fushuan Wen & Xunyuan Liu & Md. Abdus Salam, 2017. "A Residential Energy Hub Model with a Concentrating Solar Power Plant and Electric Vehicles," Energies, MDPI, vol. 10(8), pages 1-17, August.
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