POWER LOSS REDUCTION IN TRANSMISSION SYSTEMS USING NATURE-INSPIRED OPTIMIZATION

Power losses have a major impact on the efficiency of electrical transmission lines, which causes operational and financial inefficiencies. Reducing power loss increases system dependability and sustainability. In complicated and dynamic electrical networks, conventional optimization methods have shown minimal success. Because of their adaptability and persistence in controlling non-linear and multi-objective challenges, nature-inspired optimization algorithms—such as GA, PSO, and ACO—have grown more popular. This research evaluates numerous nature-inspired methods intended to lower power loss in relation to their efficacy against traditional ones. Simulation-based case studies confirm the effectiveness of these methods by showing significant improvements in voltage stability and power efficiency. The findings imply that using these tactics might improve the transmission system's performance, save running expenses, and lessen environmental effect.