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Economic dispatch of multi-carrier energy systems considering intermittent resources

Author

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  • Narges Daryani
  • Sajjad Tohidi

Abstract

The concept of energy hub as the interface in multi-carrier energy systems has been introduced recently. This concept motivates the researchers to concentrate on multi-carrier energy systems with the purpose of achieving more efficient performance. Multi-carrier energy systems as the upcoming energy providing systems should economically operate in comparison with conventional decoupled energy systems. Economic dispatch of a multi-carrier energy system including the combined electrical-gas network with distributed resources is studied in this paper. Applying the mentioned problem to real systems leads to a large-scale nonlinear problem which should be optimized by using the optimization techniques. In this paper, adaptive group search optimization algorithm is utilized to solve the multi-carrier economic dispatch problem. The decomposing solution is implemented in order to facilitate the optimizing procedure. Additionally, the proposed method is applied to an 11-hub test system and the obtained results are analysed. The efficiency of the proposed approach is then evaluated.

Suggested Citation

  • Narges Daryani & Sajjad Tohidi, 2019. "Economic dispatch of multi-carrier energy systems considering intermittent resources," Energy & Environment, , vol. 30(2), pages 341-362, March.
    • Handle: RePEc:sae:engenv:v:30:y:2019:i:2:p:341-362
    DOI: 10.1177/0958305X18790959
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    References listed on IDEAS

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    4. Beigvand, Soheil Derafshi & Abdi, Hamdi & La Scala, Massimo, 2017. "A general model for energy hub economic dispatch," Applied Energy, Elsevier, vol. 190(C), pages 1090-1111.
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    Cited by:

    1. Amirhossein Eshraghi & Gholamreza Salehi & Seyedmohammadreza Heibati & Kamran Lari, 2019. "Developing operation of combined cooling, heat, and power system based on energy hub in a micro-energy grid: The application of energy storages," Energy & Environment, , vol. 30(8), pages 1356-1379, December.
    2. Antonio Pepiciello & Alfredo Vaccaro & Mario Mañana, 2019. "Robust Optimization of Energy Hubs Operation Based on Extended Affine Arithmetic," Energies, MDPI, vol. 12(12), pages 1-15, June.

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