Comparison of optimization technique to find the optimal location of facts controllers for transmission line

4Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.

Abstract

The aspect of this study is to compare the three different algorithms such as Genetic Algorithm (GA), Enhanced Genetic Algorithm (EGA) and Particle Swarm Optimization (PSO) to fine the optimal location of the FACTS device in the transmission line. The FACTS devices Thyristor Controlled Series Compensator (TCSC) and Unified Power Flow Controller (UPFC) are selected based on the steady stability state and dynamic stability state. Each of the algorithms is coded in MATLAB and incorporated it with the conventional Newton Raphson's load flow analysis. To find the effectiveness of the proposed algorithm IEEE 14-bus system is taken as the test system. © 2014 Science Publication.

Cite

CITATION STYLE

APA

Kumar Muthukrishnan, J., Dash, S. S., Kiran Selvakumar, H., Chinnamuthu, S., & Panjamoorthy, P. (2013). Comparison of optimization technique to find the optimal location of facts controllers for transmission line. American Journal of Applied Sciences, 11(2), 280–290. https://doi.org/10.3844/ajassp.2014.280.290

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free