This paper presents the implementation of an intelligent Hybrid Energy System (HES) tailored to a detached micro-grid comprising Solar Power Panels(SPP), wind turbines (WT), and a Diesel Power Producer (DPP). The proposed system incorporates an advanced Utility Management (UM) strategy to dynamically balance Source and demand. To achieve optimal system performance, a Grey Wolf Optimizer (GWO)-based control framework is employed, focusing on minimizing operational costs, maximizing Source reliability, and enhancing the efficiency of load distribution. The study models a 24-hour operational cycle under realistic and variable environmental conditions, specifically fluctuating solar irradiance and wind speeds. Simulation results demonstrate that the integration of GWO with UM significantly enhances system performance across multiple metrics. Notably, the Levelled Cost of Energy (LCOE) is reduced, the Loss of Power Source Probability (LPSP) is minimized, and the Unconventional Energy Fraction (UEF) is maximized, indicating increased utilization of Unconventional resources. Additionally, the optimized energy dispatch strategy reduces diesel fuel dependency, thereby lowering emissions and improving overall energy sustainability. The results confirm that the GWO-enhanced UM approach offers a viable and efficient solution for managing energy in off-grid hybrid systems, promoting energy autonomy, and supporting the global shift toward cleaner energy sources.
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Copyright © 2025, This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC-BY-NY-SA). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Corresponding Author: KUPPIREDDY KRISHNA REDDY, krishnareddy206@mtieat.org
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Conflict of interest: The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
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