Solar-Powered Smart Grids: Optimizing Three-Phase Net Metering for Next-Generation Energy Systems

Authors

  • Waleed Zubair
  • Muhammad Luqman Khan
  • Mah E Kinaan
  • Basit Ahmad
  • Muhammad Tahir
  • Amir Shahzad

Abstract

As the global energy landscape shifts towards sustainability, solar-powered smart grids have emerged as a transformative solution to optimize energy generation, distribution, and consumption. This paper explores the integration of solar energy into smart grids, with a focus on optimizing three-phase net metering systems, which are crucial for managing electricity flow in large-scale applications. By leveraging advanced technologies such as real-time monitoring, smart inverters, and predictive algorithms, this study examines how three-phase systems can be efficiently optimized for enhanced grid stability and reliability. The paper also addresses key challenges, including the intermittency of solar energy, energy storage, and the regulatory frameworks that influence the adoption of net metering. Through a comprehensive review of current literature and case studies, we highlight the potential benefits of these innovations in terms of cost savings, energy efficiency, and environmental sustainability. Additionally, this paper discusses policy recommendations to support the widespread adoption of solar-powered smart grids and three-phase net metering systems, ensuring that they play a central role in the future of energy systems. Ultimately, this research contributes to the growing body of knowledge on smart grids and provides actionable insights for optimizing net metering in the next generation of energy infrastructure.

Downloads

Published

2025-03-13

How to Cite

Waleed Zubair, Muhammad Luqman Khan, Mah E Kinaan, Basit Ahmad, Muhammad Tahir, & Amir Shahzad. (2025). Solar-Powered Smart Grids: Optimizing Three-Phase Net Metering for Next-Generation Energy Systems. Dialogue Social Science Review (DSSR), 3(3), 544–556. Retrieved from https://thedssr.com/index.php/2/article/view/398

Issue

Section

Articles

Most read articles by the same author(s)