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Published on: July 27, 2018
Model for Managing the Integration of a Vehicle-to-Home Unit into an Intelligent Home Energy Management System
Ohoud Almughram1, Sami Ben Slama2,3, Bassam Zafar1
1Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
This study explores vehicle-to-home (V2H) systems integrating solar power and electric vehicles (EVs) for enhanced energy sustainability. The research develops a scheduling algorithm to optimize energy management, demonstrating V2H
Area of Science:
- Renewable Energy Systems
- Smart Grid Technology
- Sustainable Energy Solutions
Background:
- Growing energy deficits necessitate integration of renewable sources like solar photovoltaic (SPV) panels.
- Energy storage solutions, including batteries and electric vehicles (EVs), are crucial for grid stability.
- Vehicle-to-home (V2H) systems offer a promising approach for decentralized energy management.
Purpose of the Study:
- To examine the impact of solar photovoltaic (SPV), microgrid (MG) storage, and electric vehicles (EVs) on maximum sun radiation hours.
- To develop and apply a centralized photovoltaic (HCPV) scheduling algorithm for maximizing smart home (SH) energy sustainability.
- To assess the effectiveness of V2H technology as a storage solution in diverse weather conditions.
Main Methods:
- Development of a novel HCPV scheduling algorithm for energy management.
- Integration of SPV, MG storage, and EV as a mobile storage system.
- Utilization of a multi-agent system (MAS) for operational control and demand management.
- Deployment of an experimental database for weather and appliance analysis.
Main Results:
- The HCPV scheduling algorithm effectively manages energy flow between SPV, MG, and EV.
- The system demonstrates capability in meeting household electrical needs during both sunny and cloudy weather.
- V2H technology is validated as a viable and beneficial unit storage solution.
Conclusions:
- The proposed V2H system enhances energy sustainability in smart homes.
- The developed scheduling algorithm optimizes energy utilization from renewable sources and storage.
- V2H technology presents a significant advancement in distributed energy resource management.
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