Dominated Sorting Optimization Algorithm (DSOA) Implementing Optimal Capacitor Placement (OCP) for Power System Stability

The paper presents a novel Dominated sorting optimization algorithm (DSOA) approach for Optimal Capacitor Planning (OCP) method for large-scale power distribution systems in minimizing loss of energy, improving stability, and minimizing investment in capacitors. DSOA incorporates features like voltage violation and automatic OCP adjustments. The framework implemented is applied in yielding configurations that offer significant cost and energy savings while informing optimal capacitor placement. The OCP using DSOA is proposed to improve energy efficiency in large-scale power systems by reducing power losses, lowering real power consumption, and optimizing capacitor placement. The paper introduces an enhanced DSOA algorithm to optimally size and place capacitor banks. The improved DSOA avoids early convergence, optimizing for loss of energy, voltage stabilization, and financial savings. The research has depicted that it achieves under 12% energy loss reduction, 20% cost savings, and better voltage profiles, while offering superior computational efficiency and solution diversity making it well-suited for sustainable power distribution systems. DSOA tackles the objective functions minimizing power loss, sensitivity analysis and minimizing the total energy costs.