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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