The central objective of the Multi-Objective Optimization Dispatch (MOOD) problem is to achieve a dual aim: firstly, to curtail operational expenses and minimize power loss in efficient conservation systems, and secondly, to minimize emissions of harmful pollutants such as nitrogen oxides, sulfur dioxide, and carbon dioxide. To facilitate the resolution of this multifaceted problem, a weighted sum approach is adopted, effectively transforming it into a single optimization challenge. Furthermore, the Analytical Hierarchy Process (AHP) method is employed to compute weight coefficients, which are determined based on the relative importance of each objective function, aligning with stakeholders' preferences.