Open AccessA Fuzzy GA Based STATCOM for Power Quality Improvement
Author(s) -
S. N. Deepa,
K. Nithya,
Chellapandi Sekar,
V. Deepalakshmi
Publication year - 2017
Publication title -
international journal of advances in applied sciences
Language(s) - English
Resource type - Journals
eISSN - 2722-2594
pISSN - 2252-8814
DOI - 10.11591/ijaas.v6.i3.pp235-243
Subject(s) - control theory (sociology) , voltage sag , total harmonic distortion , harmonics , fuzzy logic , fault (geology) , genetic algorithm , controller (irrigation) , distortion (music) , voltage , power (physics) , mathematical optimization , power quality , engineering , mathematics , computer science , electronic engineering , control (management) , amplifier , agronomy , physics , cmos , quantum mechanics , artificial intelligence , seismology , geology , biology , electrical engineering
This paper deals with various power issues such as voltage sag, swell, harmonics, and surges using static synchronous compensator (STATCOM).The conventional controller suffers from uncertain parameters and non-linear qualities. However they are computationally inefficient extending to optimize the fuzzy controller (FC) parameters, since they exhaustively search the optimal values to optimize the objective functions. To overcome this drawback, a genetic algorithm (GA) based Fuzzy controller parameter optimization is presented in this paper. The GA algorithm is used to find the optimal fuzzy parameters for minimizing the objective functions. The feasibility of the proposed GA technique for distribution systems to improve the sag and total harmonic Distortion (THD) as major power quality indices in sensitive loads at fault conditions has been simulated and tested. Therefore, the multi-objective optimization algorithm is considered in order to attain a better performance in solving the related problems.