Abstract
This paper presents a comprehensive 36-year deployment roadmap for transforming Saudi Arabia's power grid into a resilient, low-carbon system aligned with Vision 2030, and net-zero by 2060 target. Utilizing a detailed model of the national grid based on IEEE 18-bus system, where long-term technical and economic viability of HVAC, HVDC, and Hybrid AC/DC configuration was evaluated by optimization framework driven by the Generalized Normal Distribution Optimization (GNDO) algorithm, minimizes CO2 emissions, energy losses, and costs while adhering to strict power flow and stability constraints. The results demonstrates that deploying a Hybrid AC/DC system is the backbone of a sustainable transition, reducing annual energy losses by 52.2% (950 GWh) and CO2 emissions by 52.4% (20.2 Mt) compared to conventional grid. This configurations unlocks annual savings of 234 million dollars and, critically, reduces the size of needed Battery Energy Storage System (BESS) capacity by 30%, while improving frequency stability by 66%. This analysis projects the operational performance and cost escalation of each scenario through 2060, providing a clear policy blueprint for strategic infrastructure investments and phased implementation.
| Original language | English |
|---|---|
| Title of host publication | 2025 Saudi Arabia Smart Grid, SASG 2025 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331577506 |
| DOIs | |
| State | Published - 2025 |
| Event | 2025 Saudi Arabia Smart Grid, SASG 2025 - Riyadh, Saudi Arabia Duration: 15 Dec 2025 → 18 Dec 2025 |
Publication series
| Name | 2025 Saudi Arabia Smart Grid, SASG 2025 |
|---|
Conference
| Conference | 2025 Saudi Arabia Smart Grid, SASG 2025 |
|---|---|
| Country/Territory | Saudi Arabia |
| City | Riyadh |
| Period | 15/12/25 → 18/12/25 |
Bibliographical note
Publisher Copyright:© 2025 IEEE.
Keywords
- AC/DC system
- BESS
- CAPEX
- CO2 emissions
- GNDO
- HVAC
- HVDC
- Hybrid system
- OPEX
- energy loss
- vision 2030
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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