Open AccessOPTIMAL DESIGN OF MICROGRID IN AN AUTONOMOUS MODE USING ANTCOLONY OPTIMIZATION
Author(s) -
N. Chitra,
G. Tamizharasi,
Amresh Kumar
Publication year - 2013
Publication title -
international journal of electronic signal and systems
Language(s) - English
Resource type - Journals
ISSN - 2231-5969
DOI - 10.47893/ijess.2013.1130
Subject(s) - microgrid , control theory (sociology) , ant colony optimization algorithms , nonlinear system , mode (computer interface) , controller (irrigation) , power (physics) , time domain , optimization problem , computer science , stability (learning theory) , control engineering , engineering , control (management) , algorithm , physics , quantum mechanics , artificial intelligence , machine learning , agronomy , computer vision , biology , operating system
The dynamic nature of the distribution network challenges the stability and control effectiveness of the microgrid in autonomous mode. In this paper, nonlinear model of microgrid operating in autonomous mode has been presented. The controller parameters and power sharing coefficients are optimized in case of autonomous mode. The control problem has been formulated as an optimization problem where Ant colony optimization is employed to search for optimal settings of the optimized parameters. In addition, nonlinear time-domain-based objective function has been proposed to minimize the error in the measured power and to enhance the damping characteristics, respectively. Finally, the nonlinear time-domain simulation has been carried out to assess the effectiveness of the proposed controllers under different disturbances and loading conditions. The results show satisfactory performance with efficient damping characteristics of the microgrid considered in this study.