Bat Algorithm for Congestion Alleviation in Power System Network

Abstract

Congestion in power transmission lines is designated as one of the critical issues in the deregulated power system scenario. The System Operator (SO) bears the responsibility to manage the congestion in order to ensure a secure and reliable operation of the power system framework. This article proposes a Congestion Management (CM) strategy based on the generator rescheduling approach using Bat Algorithm (BA). BA is one of the recent nature inspired optimization approaches based on the echolocation strategy adopted by the bats in search of prey. In the proposed CM scheme the BA is used to minimize the congestion cost with the optimal rescheduling of the active power output of the generators. The participation of the generators in the CM is accomplished considering the generator sensitivity values. The potency of the proposed method is tested on 39-bus New England framework, IEEE 30 bus system, IEEE 118 bus system and a comparative analysis is established with other recent optimization approaches. The outcomes obtained with the proposed BA for CM outperforms the outcomes achieved with other algorithms. The proposed approach ensures a better convergence profile avoiding the traps into local minima and also aids the SO to manage congestion efficiently.