An Optimal Reactive Power Management Using SPEA and NSGA II

Abstract

Reactive power management is essential for power system operation, particularly through Optimal Reactive Power Dispatch (ORPD). This study investigates the dispatch of reactive power as an optimization problem, utilizing various evolutionary algorithms, including differential evolution and genetic algorithms. The study focuses on two main objectives: minimizing real power losses and reducing the L-index. ORPD is evaluated using multiple IEEE bus systems, comparing the results of the Strength Pareto Evolutionary Algorithm (SPEA) and the Non-Dominated Sorting Genetic Algorithm II (NSGA-II).