Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal IAES International Journal of Robotics and Automation (IJRA)
Majid Moazzami
Islamic Azad University
Automotive Engineering Electrical & Electronics Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Optimal TCSC placement for congestion management in deregulated power systems using antlion optimization algorithm Majid Moazzami; Hossein Shahinzadeh; Gevork B. Gharehpetian; Abolfazl Shafiei
IAES International Journal of Robotics and Automation (IJRA) Vol 8, No 2: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (802.361 KB) | DOI: 10.11591/ijra.v8i2.pp77-88

Abstract

Congestion management is one of the important issues in the deregulated power systems. There are several methods to eliminate congestion. Utilizing FACTS devices is an appropriate option for large-scale and quick control of flows of transmission lines. FACTS devices such as Thyristor Controlled Series Capacitor (TCSC) can help to mitigate the transmitting flow of power in the congested lines, which leads to an increase in the network loading ability as well as reduction of both losses and production costs. Due to the considerably high price of FACTS devices, it is important to determine their optimum location on the network. Accordingly, in this paper, the Antlion optimization algorithm (ALO) has been employed to conduct a congestion management analysis to determine the optimal location for the installation of TCSC, which is simulated on an IEEE 14-bus test system subject to satisfy the constraints of the market environment.
Co-Authors Abolfazl Shafiei Gevork B. Gharehpetian Hossein Shahinzadeh