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Techno-economic configuration of a hybrid backup system within a microgrid considering vehicle-to-grid technology: A case study of a remote area
Faculty
Engineering
Year:
2023
Type of Publication:
ZU Hosted
Pages:
Authors:
Mohamed Alsayed Lotfy Elsayed Abozyd
Staff Zu Site
Abstract In Staff Site
Journal:
Energy Conversion and Management ELSEVIER
Volume:
Keywords :
Techno-economic configuration , , hybrid backup system within
Abstract:
This paper assesses the feasibility of the hybrid backup system within the microgrid that incorporates vehicle-to-grid (V2G) technology. The proposed strategy is verified through a real case study in a remote area of Egypt. Several operating configurations for the hybrid backup system are studied. In this study, the proposed backup sources are the battery energy storage system (BESS), the hydrogen energy storage system (HESS), and the electric vehicle battery (EVB). To improve the robustness and reliability of the system, an enhanced power management strategy for the hybrid backup system is implemented. The main objectives are to minimize the operational costs, the wasted energy in the dummy load, and the loss of power supply probability (LPSP). The optimization problem is performed using the african vultures optimization algorithm (AVOA). The results clearly indicate that the proposed AVOA outperforms other recent algorithms, specifically the reptile search algorithm (RSA) and the snake optimizer (SO). The AVOA shows a 14.377 % reduction in computational time compared to the RSA, while it is nearly equal to the computational time of SO. Based on the technical and economic analysis, the configuration that combines the three backup sources has superiority over the other configurations. When using AVOA, the cumulative operating cost throughout the day for this configuration is approximately 13066.21$. The BESS/EVB backup system has an operating cost of 13120.66 $, while the BESS/HESS and BESS backup systems have operating costs of 13084.27 $ and 13,085 $, respectively. Regarding accuracy, the three algorithms achieve close results.
Author Related Publications
Mohamed Alsayed Lotfy Elsayed Abozyd, "Hybrid Genetic Algorithm Fuzzy-Based Control Schemes for Small Power System with High-Penetration Wind Farms", MDPI AG ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND, 2018
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Mohamed Alsayed Lotfy Elsayed Abozyd, "Robust Load Frequency Control Schemes in Power System Using Optimized PID and Model Predictive Controllers", MDPI AG ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND, 2018
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Mohamed Alsayed Lotfy Elsayed Abozyd, "Load Frequency Control Using Demand Response and Storage Battery by Considering Renewable Energy Sources", MDPI AG ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND, 2018
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Mohamed Alsayed Lotfy Elsayed Abozyd, "Optimal sizing and placement of rooftop solar photovoltaic at Kabul city real distribution network", .The Institution of Engineering and Technology, England, 2018
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Mohamed Alsayed Lotfy Elsayed Abozyd, "Adaptive Estimation of Quasi-Empirical Proton Exchange Membrane Fuel Cell Models Based on Coot Bird Optimizer and Data Accumulation", MDPI, 2023
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Raef Seam Sayed Ahmed, "Model predictive control algorithm for fault ride-through of stand-alone microgrid inverter", Elsevier Ltd., 2021
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Raef Seam Sayed Ahmed, "Optimal design and analysis of DC–DC converter with maximum power controller for stand-alone PV system", Elsevier Ltd., 2021
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