Optimal Placement of SVC using Firefly Algorithm

Authors(4) :-N. Karthik, A. K. Parvathy, R. Arul, Jayapragash. R

This paper presents an application of Firefly Algorithm (FFA) to recognize the optimal placement of Static Var Compensator (SVC) in a power system network. A circuit model of SVC is utilized to regulate the bus voltage magnitudes and line power flows for improvement of voltage profile and real power loss minimization respectively. The key reason for the voltage instability is the insufficient reactive power at the load buses of the system. Here IEEE 57 bus system is taken into consideration for finding the optimal location and sizing of SVC using FFA. To validate the proposed algorithm, simulation is performed on standard IEEE 57 bus system using MATLAB software package. The simulation results obtained from FFA are compared with Particle Swarm Optimization (PSO) and found to be better.

Authors and Affiliations

N. Karthik
Department of Electrical and Electronics Engineering, Hindustan Institute of Technology & Science, Chennai, Tamilnadu, India
A. K. Parvathy
Department of Electrical and Electronics Engineering, Hindustan Institute of Technology & Science, Chennai, Tamilnadu, India
R. Arul
School of Electrical Engineering, Vellore Institute of Technology, Chennai, Tamilnadu, India
Jayapragash. R
School of Electrical Engineering, Vellore Institute of Technology, Chennai, Tamilnadu, India

Firefly Algorithm (FFA), Loss Minimization, SVC, Optical Location, Particle Swarm Optimization (PSO), Voltage Profile.

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Publication Details

Published in : Volume 5 | Issue 3 | March-April 2018
Date of Publication : 2018-04-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 140-146
Manuscript Number : IJSRSET185322
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

N. Karthik, A. K. Parvathy, R. Arul, Jayapragash. R, " Optimal Placement of SVC using Firefly Algorithm, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 5, Issue 3, pp.140-146, March-April-2018. Citation Detection and Elimination     |     
Journal URL : https://ijsrset.com/IJSRSET185322

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