@inproceedings{a847b9d7da504ce98ffe3f9730d67141,
title = "Comparative study for robust statcom control designs based on loop-shaping and simultaneous tuning using particle swarm optimization",
abstract = "Synchronous static compensator (STATCOM) can also be used to improve the dynamic performance of a power system apart from being used for reactive power compensation. This article performs a comparative study for robust STATCOM control designs based on graphical loop-shaping and simultaneous tuning using Particle Swarm Optimization (PSO) for a single machine infinite bus system (SMIB) equipped with STATCOM. The power system working at various operating conditions is considered as a finite set of plants. Fixed parameter robust controllers were designed considering the voltage magnitude of the voltage source converter (VSC), a part of the STATCOM system, as the input and speed deviation of the generator as the system output. Simulation studies are conducted on a simple power system which indicates that the designed robust controllers by the two methods provide very good damping properties over a wide range of operating conditions, but the simultaneous tuning method using particle swarm optimization is easy to implement compared to the cumbersome graphical loop-shaping technique.",
keywords = "Loop-Shaping, Particle swarm optimization (PSO), Power system damping, Robust control, Simultaneous tuning, STATCOM, Voltage source converter (VSC)",
author = "Faisal, {Syed F.} and Beig, {Abdul R.} and Sunil Thomas",
note = "Funding Information: The authors would like to acknowledge the facilities provided at the Electrical Engineering and Computer Science Department at Khalifa University of Science and Technology and Birla Institute of Technology and Science Pilani, Dubai Campus, UAE towards this research. Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd 2020.; International Conference on Modelling, Simulation and Intelligent Computing, MoSICom 2020 ; Conference date: 29-01-2020 Through 31-01-2020",
year = "2020",
doi = "10.1007/978-981-15-4775-1_45",
language = "British English",
isbn = "9789811547744",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer",
pages = "419--429",
editor = "Nilesh Goel and Shazia Hasan and V. Kalaichelvi",
booktitle = "Modelling, Simulation and Intelligent Computing - Proceedings of MoSICom 2020",
address = "Germany",
}