A Novel Stochastic Optimizer Solving Optimal Reactive Power Dispatch Problem Considering Renewable Energy Resources

Optimal Reactive Power Dispatch (ORPD is thought of as a noncontinuous, nonlinear global optimization problem. Within the system’s constraints, ORPD manages to accomplish reactive power flow. Due its more intricate linkage variables, issue challenging resolve than optimum flow issue. With existence renewable energy resources (RERs), solving problem attain most stable and secure system condition has become task. The goal this article solve objective function combined with RERs using metaheuristic novel optimizer named African Vultures Optimization Algorithm abbreviated by (AVOA), where formulation including minimization three single functions follows, voltage deviation, operating cost, real loss, introduced also transmission loss embraced simultaneous incorporation optimal (RERs). Where complexity grows exponentially mixture continuous discrete control two distinct types variables are considered, proposed that meet different constraints then transformed into coefficient multi-objective elucidated weighted sum approach. To validate suggested algorithm’s effectiveness in addressing issue, it evaluated on standard IEEE networks: IEEE-30 bus small-scale network, IEEE-57 medium-scale IEEE-118 large-scale network scenarios outcomes compared these other popular techniques. findings show AVOA algorithm provides an efficient sturdy high-quality solution for tackling situations vastly enhances overall performance at all scales.