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Grid-Connected PV + Battery AC Nano-grid with EV Integration for Increased Resilience

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Grid-Connected PV + Battery AC Nano-grid with EV Integration for Increased Resilience

Ghaderi, Mohammadali (2025) Grid-Connected PV + Battery AC Nano-grid with EV Integration for Increased Resilience. Masters thesis, Concordia University.

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Abstract

This work presents a methodology for integrating a single-phase V2H/V2L inverter into a three-phase nano-grid equipped with photovoltaic (PV) generation and battery storage. The existing system, based on SMA technology, includes three Sunny Boys (SBs) and three Sunny Islands (SIs), all managed by a Data Manager (DM). Due to the inability of the V2H inverter to directly connect to the three-phase system, a novel scheme was developed, incorporating a spare SI, an ioLogik interface, relays, and an alarm system.

The proposed setup enables load shedding and allows the stationary battery to be supplemented with energy from the electric vehicle (EV), effectively extending the supply duration for high priority loads during grid faults or islanded conditions. The control logic is based on the state of charge (SoC) of the stationary battery. This strategy ensures a balance between maintaining power supply to critical loads (priority and higher priority loads) and conserving the EV’s stored energy for critical situations.

The comprehensive experimental setup developed in this work, along with the adopted energy management strategy, was successfully tested, demonstrating its functionality. Furthermore, an alternative scheme and a V2G (Vehicle-to-Grid) configuration were explored to highlight the versatility of this methodology. The system’s flexibility allows the integration of additional energy sources, such as fuel cells, wind turbines, and extra PV systems, by connecting them to the DC bus, providing a robust framework for advanced energy systems and energy management.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Electrical and Computer Engineering
Item Type:Thesis (Masters)
Authors:Ghaderi, Mohammadali
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Electrical and Computer Engineering
Date:12 May 2025
Thesis Supervisor(s):Lopes, Luiz A. C.
ID Code:995693
Deposited By: Mohammadali Ghaderi
Deposited On:04 Nov 2025 16:07
Last Modified:04 Nov 2025 16:07
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