A Novel Nature Inspired Meta-Heuristic Optimization Approach of GWO Optimizer for Optimal Reactive Power Dispatch Problems

摘要: In this paper, a novel nature inspired meta heuristic optimization approach of Grey Wolf Optimization (GWO) algorithm is employed to solved the optimal reactive power dispatch (ORPD) problems. Essentially, it sub and non-linear problem flow (OPF) in which control parameters networks are optimized. The wolf optimizer from grey wolves’ leadership hunting behaviors solve ORPD For which, tested on two test cases IEEE30 standards specially, for 13 19 variables order get three fitness objectives instance; transmission line losses ( $\text{P}_{\mathrm {losses}}$ , MW), voltage deviation (VD), stability index (VSI) cost energy ($). During computing all objectives, minimum values possibly achieved by finest settings variables. simulation results compared with other artificial intelligence methods previous literature ensure superior performance GWO problem. consistency will further be validated through detailed statistical analysis including histogram illustrations, boxplots, empirical CDF plot, probability plot during each independent trial.