A Contribution to Modelling and Study of SSSC Compensator Employing Firefly Algorithm
Tapas K Panigrahi1, Dillip K Mishra2, Subhranshu S. Pati3, Asit Mohanty4

1Tapas K Panigrahi, Parala Maharaja Engineering College, Berhampur, India.

2Dillip Kumar Mishra, Indian Institutes of Information Technology, Bhubaneswar, India.

3Subhranshu S. Pati, Indian Institutes of Information Technology, Bhubaneswar, India.

4Asit Mohanty, Common Entrance Test, Bhubaneswar, India.

Manuscript received on 17 May 2019 | Revised Manuscript received on 24 May 2019 | Manuscript Published on 02 June 2019 | PP: 569-573 | Volume-8 Issue-7S2 May 2019 | Retrieval Number: G10970587S219/19©BEIESP

Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In the present scenario, Flexible Alternating Current Transmission (FACT) devices are broadly utilized as a part of the various power system. Because the application of FACTS technologies will increase attainable interferences in operational tasks of controllers. This paper describes the single machine infinite bus (SMIB) system, and to enhance the damping oscillation a new generation of FACT device such as Static Synchronous Series Compensator (SSSC) unit have been employed. The primary point of concern of the suggested method is better damping and overshoot reduction oscillation and by that enhancing the power oscillation damping. To tune the controller parameter effectively, Firefly Algorithm (FA) is applied. Both remote and local signals with related time delay are reflected in the model. MATLAB/SIMULINK software is used to analyses the SMIB with SSSC controller. The performance of the system is confirmed with changing parameter and diverse loading environments with delay.

Keywords: FA, FACT, MATLAB, SSSC, SMIB.
Scope of the Article: Analysis of Algorithms and Computational Complexity