Comparative Analysis between Binary Grey Wolf and Binary Bat Optimization for Optimal PMU Placement with Complete Observability

Abstract

This paper presents the comparative analysis between the binary grey wolf optimization (BGWO) and the binary bat algorithm (BBA) to find the solution of the optimal PMU placement (OPP) problem by minimizing the number of phasor measurement units (PMUs) with maximum measurement redundancy to achieve complete observability of the power system. The proposed techniques have been implemented on various IEEE standard buses such as 14 bus, 30 bus, 57 bus and 118 bus system both under the normal condition as well as contingency condition like single PMU loss. The comparative results show that BGWO is more efficient than the BBA approach.