Robust Deterministic Optimization Approach for Optimal Reactive Energy Management in Electrical Transmission Network

Reactive power management is inevitable in the optimal control of electrical power networks. It supports the network voltage which reduces active power loss in transmission lines by finding the optimal values of the control parameters. In this paper, the problem of optimal reactive power dispatch (ORPD) is studied using a deterministic optimization algorithm called Broyden Fletcher Goldfarb Shanno-based Augmented Lagrangian (BFGS-AL). The proposed approach is used to minimize real power losses and voltage deviation considering all network constraints for the IEEE 57-bus power grid. Simulation results validate the ability of BFGS-AL method to accelerate the convergence and provide optimal regulation of control variables, in comparison with other reported optimization methods.