Parametric Analysis of Adaptive Whale Optimization Technique for Power Quality Enhancement in Restructured Electricity Market

Nowadays, large attention has been focused on Power Quality (PQ) domain owing to the interruptions caused by the raise in the count of electronic devices, non-linear loads, and development of renewable sources. Thus, a more enhanced PQ system is necessary for better power utilities. This paper aims to present the Adaptive Whale Optimization Algorithm (AWOA) for tackling the primary issues in the deregulated power sectors that directly pave the way for enhancing the power quality. The algorithm satisfies the progressing of optimal sizing and placing of Flexible Alternating Current Transmission System (FACTS) devices in deregulated power sectors. It is planned to make a clear analysis on the performance of proposed work by varying the threshold
$(\pmb{T})$
, weight,
$\pmb{w}$
, and constant value,
$\pmb{b}$
of AWOA PQ model for power quality enhancement which clearly depicts its stability on varying values of the parameters. The analysis is carried out under two bus systems: IEEE 30 and 57 test bus system in terms of cost analysis as well.