Optimal Reactive Power Dispatch Problem Using Novel Wild Horse-Based Optimizer

This study presents the new strategy for ORPD issues for modern power system problems. ORPD is most essential for maintaining a stable, secure, and economic management of electrical power system. This ORPD problem is a highly constrained, mixed integer non-linear (MINLP) problem. In order to satisfy the active and reactive power restrictions, the primary goal of the ORPD problem is to reduce active power losses in the system. Numerous optimization techniques have previously been used to address this type of problem. In this work, four optimization approaches are applied for reactive power dispatch problem for the considered system. The optimization approached used for the ORPD problem are PSO, GA, MAPSO, and Novel algorithm named as Wild Horse Optimizer (WHO). These four algorithms are tested & evaluated for ORPD issues in IEEE-30 bus system. For load flow analysis MATPOWER software is used with MATLAB. Several comparisons have been made on account of computation time, Active and Reactive power savings, and performance comparison. The simulation results show that the proposed algorithm converges quicker than other techniques and illustrates superior performance in comparison with others and is well efficient for reactive power dispatch problems.