@inproceedings{d242b0385ce0400f83515da27afe982f,
title = "Localization of FACTS devices for optimal power flow using Genetic Algorithm",
abstract = "This paper presents about the effective localization of the FACTS (Flexible AC Transmission Systems) devices in power system by a global search GA (Genetic Algorithm) technique. Ultimate goal is to improve the stability of power system as well as to reduce the generation cost, transmission losses by increasing loadability and improving voltage profile with introduce FACTS device at the most effective region. This method is employed by considering the cost of FACTS and their optimal utilization in the system. Optimal location of FACTS, their types and rated values are optimized simultaneously. Three FACTS devices such as TCSC, TCPAR and SVC are simulated in this study. Simulation is carried out on IEEE30 bus and IEEE 118 bus power system with different increased load-ability. We search the efficiency of this method on the basis of power generation cost, FACTS investment cost and transmission loss reduction. The employed algorithm is emerged as an effective and practical method for the choice and allocation of FACTS in large power systems.",
keywords = "FACTS devices, Genetic Algorithm (GA), Improved loadability, Load Flow, Optimal Power Flow (OPF)",
author = "Rahman, {A. K.M.Rezwanur} and Alam, {Md Shahabul} and Hossain, {Md Zakir} and Md Shahjahan",
year = "2014",
doi = "10.1109/EICT.2014.6777889",
language = "English",
isbn = "9781479922994",
series = "2013 International Conference on Electrical Information and Communication Technology, EICT 2013",
publisher = "IEEE Computer Society",
booktitle = "2013 International Conference on Electrical Information and Communication Technology, EICT 2013",
address = "United States",
note = "2013 International Conference on Electrical Information and Communication Technology, EICT 2013 ; Conference date: 13-02-2014 Through 15-02-2014",
}