Preprint Article Version 1 This version is not peer-reviewed

DRL-PSO Powered Optimization for Efficiency Enhancement and Reliability Improvement in Smart Grids

Version 1 : Received: 29 October 2024 / Approved: 4 November 2024 / Online: 4 November 2024 (03:44:24 CET)

How to cite: A.Wahab ALI, M.; Alghamdi, T. A. H.; Alenezi, M.; Hatatah, M. DRL-PSO Powered Optimization for Efficiency Enhancement and Reliability Improvement in Smart Grids. Preprints 2024, 2024110132. https://doi.org/10.20944/preprints202411.0132.v1 A.Wahab ALI, M.; Alghamdi, T. A. H.; Alenezi, M.; Hatatah, M. DRL-PSO Powered Optimization for Efficiency Enhancement and Reliability Improvement in Smart Grids. Preprints 2024, 2024110132. https://doi.org/10.20944/preprints202411.0132.v1

Abstract

The increasing complexity of modern power systems, driven by the integration of renewable energy sources and growing electricity demand, has led to a need for optimizing smart grids. Traditional grid management approaches are often insufficient in addressing the challenges of efficiency, reliability, and minimizing losses. In this paper, we propose a novel AI-based optimization framework for smart grids, designed to reduce transmission and distribution losses, enhance system efficiency, and improve grid reliability. We conduct a comparative analysis of traditional optimization techniques and state-of-the-art AI algorithms and demonstrate the superiority of the proposed method using the IEEE 33-bus benchmark system. Results show a significant reduction in power losses and an improvement in voltage profile, leading to a more efficient and reliable grid.

Keywords

Smart grids; AI optimization; power losses; grid reliability; IEEE 33-bus system

Subject

Engineering, Electrical and Electronic Engineering

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