Stochastic Optimization Approach for Energy Hub Design and Operation Incorporating Hydrogen Storage, Electric Vehicles, and Demand Response

The integration of hydrogen storage systems (HSSs) and electric vehicles (EVs) into smart energy hubs (EHs) presents significant opportunities for enhancing energy efficiency, reliability, and clean operation. Accordingly, this study presents a comprehensive approach for the optimal design and efficient operation of smart EH systems equipped with solar-powered compressed air energy storage (SPCAES), HSS, battery storage systems, and thermal energy storage (TES). Moreover, multiple EV parking lots have been considered in the proposed approach. Additionally, the proposed model has also employed the demand response program (DRP), which plays a crucial role in optimizing the balance between energy supply and demand. The key objectives to be minimized include operational costs and greenhouse gas emissions. The proposed approach is tested on the IEEE-33 bus distribution system. Overall, the findings underscore the importance of coordinated management of diverse energy resources to achieve optimal performance in smart energy systems, this is demonstrated by the reductions of 4.16% in investment costs, 23.76% in operational costs, and 17.96% in emissions costs.

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Published
2024-12-17
DOI
https://doi.org/10.1109/mepcon63025.2024.10850438
Primary Topic
Hybrid Renewable Energy Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Stochastic Optimization Approach for Energy Hub Design and Operation Incorporating Hydrogen Storage, Electric Vehicles, and Demand Response

Mostafa F. Shaaban, Ghada Abdulnasser, Essam E. M. Mohamed, Abdelfatah Ali
Hybrid Renewable Energy Systems
article

Stochastic Optimization Approach for Energy Hub Design and Operation Incorporating Hydrogen Storage, Electric Vehicles, and Demand Response

Mostafa F. Shaaban, Ghada Abdulnasser, Essam E. M. Mohamed, Abdelfatah Ali
article en

Abstract

The integration of hydrogen storage systems (HSSs) and electric vehicles (EVs) into smart energy hubs (EHs) presents significant opportunities for enhancing energy efficiency, reliability, and clean operation. Accordingly, this study presents a comprehensive approach for the optimal design and efficient operation of smart EH systems equipped with solar-powered compressed air energy storage (SPCAES), HSS, battery storage systems, and thermal energy storage (TES). Moreover, multiple EV parking lots have been considered in the proposed approach. Additionally, the proposed model has also employed the demand response program (DRP), which plays a crucial role in optimizing the balance between energy supply and demand. The key objectives to be minimized include operational costs and greenhouse gas emissions. The proposed approach is tested on the IEEE-33 bus distribution system. Overall, the findings underscore the importance of coordinated management of diverse energy resources to achieve optimal performance in smart energy systems, this is demonstrated by the reductions of 4.16% in investment costs, 23.76% in operational costs, and 17.96% in emissions costs.

South Valley University (EG), American University of Sharjah (AE)
American University of Sharjah
Affordable and clean energy
Openalex Percentile: Top 71%
Hybrid Renewable Energy Systems
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Stochastic Optimization Approach for Energy Hub Design and Operation Incorporating Hydrogen Storage, Electric Vehicles, and Demand Response — Mostafa F. Shaaban, Ghada Abdulnasser, et al. · (2024) | TGRS Research Map | TGRS