OPTIMIZATION OF ENERGY IN A DISTRIBUTION NETWORK IN ACHIEVING MINIMAL COST FOR CONSUMERS

Abstract

This study investigates optimization techniques for improving the performance of electrical distribution networks, focusing on minimizing consumer energy costs while maintaining system reliability and operational efficiency. The increasing demand for electricity and the integration of renewable energy sources have created new operational challenges, including high technical losses, inefficient load distribution, and escalating operating expenses, which collectively contribute to higher electricity tariffs. To address these issues, several optimization methods such as Optimal Power Flow (OPF), Demand-Side Management (DSM), Distributed Generation (DG), and energy loss reduction techniques are critically analysed. A mathematical cost minimization model is developed to evaluate the effectiveness of these methods under varying load and network conditions. The findings reveal that the coordinated application of these optimization strategies can significantly reduce total energy losses and consumer costs by up to 25%. The study underscores the importance of intelligent planning and advanced optimization in achieving sustainable and cost-efficient power distribution.