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Optimizing Saudi Arabia's Power Grid: The Role of AC/DC Hybrid OHTL Systems and BESS Integration for Energy Efficiency and Net-Zero Targets Using GNDO

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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 languageEnglish
Title of host publication2025 Saudi Arabia Smart Grid, SASG 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331577506
DOIs
StatePublished - 2025
Event2025 Saudi Arabia Smart Grid, SASG 2025 - Riyadh, Saudi Arabia
Duration: 15 Dec 202518 Dec 2025

Publication series

Name2025 Saudi Arabia Smart Grid, SASG 2025

Conference

Conference2025 Saudi Arabia Smart Grid, SASG 2025
Country/TerritorySaudi Arabia
CityRiyadh
Period15/12/2518/12/25

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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