Optimal Tcsc Location For Reactive Power Optimization Using Oppositional Salp Swarm Algorithm

Abstract

The research work proposed in this article involves a nature-inspired technique of salp swarm algorithm (SSA) which is proposed for finding the optimal reactive power dispatch of an interconnected power network. Oppositional-based learning is a promising technique for improving convergence and is used in this work coupled with SSA algorithm as a new hybrid method of oppositional salp swarm algorithm (OSSA). The proposed techniques are successfully implemented on standard IEEE 57 benchmark system for deprecating of real power losses as well as overall cost of operation of the power system along with retention of bus voltages under acceptable limits. The performance of the proposed algorithms is also examined with inclusion of optimal thyristor-controlled series compensator (TCSC) placement and sizing. The identification of weakest branch in the power network is initially done for optimal TCSC placement and it is tendered through line stability index method (LSI). © Springer Nature Singapore Pte Ltd 2020.