GREY WOLF OPTIMIZER BASED OPTIMAL PLACEMENT OF MULTIPLE FACTS DEVICES IN THE TRANSMISSION SYSTEM UNDER DYNAMIC LOADING SYSTEM

Main Article Content

YUSUF SAMUEL SUNDAY
OKORIE PATRICK UBEH
ABUBAKAR ADAMU SAIDU
ALHASSAN FAHAD

Abstract

The application of grey wolf optimization technique for multiple FACTS placement is presented in this paper for the reduction of total system losses and minimization of voltage deviation via optimal placement of Flexible AC Transmission System (FACTS) device. Grey wolf optimization (GWO) technique is inspired by social hierarchy and hunting behaviour of wolves and offers a right balance between exploration and exploitation during the search for global optimal. Series-shunt FACTS device; unified power flow controller (UPFC) is considered as a formidable device that can provides an alternative option for the flexible controllability and improvement of power transfer capability of a transmission lines. The analyses were conducted by increasing the number of UPFC in the network in order to evaluate the optimal number of FACTS devices that would give the least loss under maximum loading and contingency conditions. The efficacy of this proposed technique is demonstrated on 31-bus, 330 kV Nigeria National Grid (NNG) using MATLAB environment. The results show that optimal placement of FACTS device along with optimization technique provides a promising solution to the high power loss and voltage deviation bedevilling Nigeria National Grid.

Article Details

How to Cite
SUNDAY, Y. S., UBEH, O. P., SAIDU, A. A., & FAHAD, A. (2021). GREY WOLF OPTIMIZER BASED OPTIMAL PLACEMENT OF MULTIPLE FACTS DEVICES IN THE TRANSMISSION SYSTEM UNDER DYNAMIC LOADING SYSTEM. Journal of Engineering Studies and Research, 27(1), 132-143. Retrieved from http://jesr.ub.ro/1/article/view/262
Section
Articles
Author Biographies

YUSUF SAMUEL SUNDAY

Department of Electrical Engineering, Ahmadu Bello University, Zaria, Nigeria

OKORIE PATRICK UBEH

Department of Electrical Engineering, Ahmadu Bello University, Zaria, Nigeria

ABUBAKAR ADAMU SAIDU

Department of Electrical Engineering, Ahmadu Bello University, Zaria, Nigeria

ALHASSAN FAHAD

Department of Electrical Engineering, Ahmadu Bello University, Zaria, Nigeria