Integrated Multi-Verse Evolutionary Programming and Evolutionary Programming Based Techniques for Optimal Placement of D-STATCOM Installation

Abstract

Progressing load demand has been identified as one of the factors that can cause an increase of transmission loss. Thus, compensation scheme is an important remedial action to ensure smooth delivery of electricity to the consumers. Among the popular remedial action is the installation of Distributed Flexible Alternating Current (D-FACTS) which can reduce the losses in transmission systems. In this paper, Distribution Static Compensator (D-STATCOM) is chosen as the compensation device, aims to reduce the total losses by injecting reactive power into the network. An integrated optimization technique is proposed to perform loss minimization in a reliability test system model. This proposed technique integrates the operator in multi-verse optimization technique (MVO) into the traditional Evolution Programming (EP), termed Integrated Multi-Verse Evolutionary Programming (IMVEP). The proposed IMVEP was then implemented to solve transmission loss control, where the sizing process of D-STATCOM was solved using IMVEP. Validation was conducted on the IEEE 30-Bus Reliability Test System (RTS). A comparative study was conducted with respect to the traditional EP, resulting in convincing results.