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Optimizing DOCRs coordination when synergizing energy management with V2G using innovative optimization algorithms
Faculty
Engineering
Year:
2024
Type of Publication:
ZU Hosted
Pages:
Authors:
Mohamed Alsayed Lotfy Elsayed Abozyd
Staff Zu Site
Abstract In Staff Site
Journal:
Results in Engineering Elsevier
Volume:
Keywords :
Optimizing DOCRs coordination when synergizing energy
Abstract:
This manuscript proposes an optimal coordination approach for directional overcurrent relays (DOCRs) within electric vehicle charging stations (EVCS), considering energy management and Vehicle-to-Grid (V2G) integration. The study focuses on maximizing efficiency and grid interaction in charging stations by addressing the challenge of DOCRs coordination. Three innovative optimization algorithms, namely the Hunger Games Search (HGS), Hunter Prey Optimization (HPO), and Sparrow Search algorithm (SSA), are employed to determine the optimal coordination for the DOCRs and get the time dial setting (TDS) and pickup current (IP) targeting minimum operating time for all DOCRs, considering factors such as load balancing, fault detection, and power quality in three different scenarios. EVSC has two types of charges DC and AC with two modes: V2G mode when EV is discharged into the grid, and G2V mode when EV is charged from the grid. Fast chargers are used to proceed as it can work in two modes V2G and G2V. Through extensive simulations and performance evaluations, the results demonstrate the effectiveness of the proposed approach. The three scenarios are simulated by using ETAP and MATLAB software according to fault location and to achieve voltage regulation and sufficient power for loads to achieved continuity of service for up to 1960.7 kW loads that kept fed. The proposed approach achieved the target of protecting the EVCS in minimum operating time of relays using the three algorithms and SSA introduces the best result more than other algorithms for the relay operating time with reduction up to 21 %
Author Related Publications
Mohamed Alsayed Lotfy Elsayed Abozyd, "Techno-economic configuration of a hybrid backup system within a microgrid considering vehicle-to-grid technology: A case study of a remote area", ELSEVIER, 2023
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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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