Abstract
The main aim of this investigation is to replicate and enhance a sustainable hybrid energy structure that combines solar photovoltaic, wind turbines, battery storage. The study employs the Homer simulation model to evaluate the scaling, cost, and control strategy of this hybrid power system. This work primarily focuses on determining the most efficient design for a renewable energy generation system architecture for a significant electric vehicle charging station. The hybrid power system is designed to meet an AC base load of 2424.25 kWh/day with peak consumption of 444 kW. The simulation results indicate that the optimized components and the cost of energy are at an optimal level and the optimal design in terms of renewable energy penetration.
| Original language | English |
|---|---|
| Title of host publication | 2024 Saudi Arabia Smart Grid, SASG 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331576301 |
| DOIs | |
| State | Published - 2024 |
| Event | 2024 Saudi Arabia Smart Grid, SASG 2024 - Riyadh, Saudi Arabia Duration: 16 Dec 2024 → 18 Dec 2024 |
Publication series
| Name | 2024 Saudi Arabia Smart Grid, SASG 2024 |
|---|
Conference
| Conference | 2024 Saudi Arabia Smart Grid, SASG 2024 |
|---|---|
| Country/Territory | Saudi Arabia |
| City | Riyadh |
| Period | 16/12/24 → 18/12/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Battery Storage
- HOMER
- Hybrid Energy
- Optimization
- Simulation
- Solar PV
- Wind
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Control and Optimization
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