Optimal Power Flow with DC Link Placement Problem by using Self Adaptive Firefly Algorithm

Abstract

This paper presents a Self Adaptive Firefly Algorithm (SFO) for the solution of the Optimal Power Flow (OPF) with DC Link Placement Problem. OPF problem is formulated as a nonlinear constrained multiobjective optimization problem where different objectives and different constraints have been considered. Optimal Power Flow is an important operational and planning problem in minimizing the chosen objective functions of the power systems. The recent developments in power electronics have enabled introduction of dc links in the AC power systems with a view of making the operation more flexible, secure and economical. This paper formulates a new OPF to embrace dc link equations and presents a heuristic optimization technique, inspired by the behavior of fireflies, for solving the problem. The solution process involves AC/DC power flow and uses a self adaptive technique so as to avoid landing at the suboptimal solutions. It presents simulation results of IEEE test systems with a view of demonstrating its effectiveness.