Optimal Power Flow Using Modified Grey Wolf Optimizer

Abstract

This paper presents the use of an artificial intelligence tool Grey Wolf Optimizer (GWO) for solving Optimal
Power Flow (OPF) problem. The Optimal Power Flow (OPF) is a non-linear optimization problem in which the control
parameters of the power network are optimized for a specific objective. Optimal Reactive Power Dispatch (ORPD) is a
sub-problem of optimal power flow. The meta-heuristic tool Grey wolf optimizer is tested on two test cases IEEE-30 bus
system and IEEE-118 bus system for minimization of active power Losses and voltage deviation. The Grey Wolf
Optimizer was then modified and newly developed Modified Grey Wolf Optimizer (mGWO) was tested on both the test
case IEEE-30 bus test case and IEEE-118 Bus system Again. The simulation results are compared with other artificial
intelligence methods in literature.