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Preventive scheduling of a multi-energy microgrid with mobile energy storage to enhance the resiliency of the system

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  • Zamani Gargari, Milad
  • Tarafdar Hagh, Mehrdad
  • Ghassem Zadeh, Saeid

Abstract

In multi energy microgrids with renewable energy sources, the significance of consideration of the gas supply network and efficient interaction between various energy carriers has been developed. Also, one of the most consequential matters linked with the operation of microgrids is affording the resiliency of the microgrid in inconstant conditions such as natural disasters. In this paper, the process of estimating resiliency in multi-energy microgrids is presented and the application of mobile energy providers is believed to prevent the devastating outcomes of natural disasters and improve the resiliency of the system. The methodology of this article is based on cost of not supplied energy for devastating effects of natural disasters on multi energy microgrids. Several scenarios have been presented to model the destructive consequences of natural catastrophes in the multi-energy microgrid. Different energy providers have been investigated to obtain the most desirable solution according to geographical conditions and demand characteristics. One of the important tools adopted in the multi-energy system to compensate for the resiliency of the system is mobile energy providers. According to the simulation outcomes, the value of the resiliency criteria and the total cost are improved due to the different scheduling strategies based on the application of mobile energy providers.

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  • Zamani Gargari, Milad & Tarafdar Hagh, Mehrdad & Ghassem Zadeh, Saeid, 2023. "Preventive scheduling of a multi-energy microgrid with mobile energy storage to enhance the resiliency of the system," Energy, Elsevier, vol. 263(PC).
    • Handle: RePEc:eee:energy:v:263:y:2023:i:pc:s0360544222024835
    DOI: 10.1016/j.energy.2022.125597
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    2. Amine, Hartani Mohamed & Aissa, Benhammou & Rezk, Hegazy & Messaoud, Hamouda & Othmane, Adbdelkhalek & Saad, Mekhilef & Abdelkareem, Mohammad Ali, 2023. "Enhancing hybrid energy storage systems with advanced low-pass filtration and frequency decoupling for optimal power allocation and reliability of cluster of DC-microgrids," Energy, Elsevier, vol. 282(C).
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    4. Liang, Weikun & Lin, Shunjiang & Liu, Mingbo & Sheng, Xuan & Pan, Yue, 2024. "Risk-based distributionally robust optimal dispatch for multiple cascading failures in regional integrated energy system using surrogate modeling," Applied Energy, Elsevier, vol. 353(PA).

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