Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

Power system design using firefly algorithm for dynamic stability enhancement

Setiadi, H and Jones, KO (2016) Power system design using firefly algorithm for dynamic stability enhancement. Indonesian Journal of Electrical Engineering and Computer Science, 1 (3). pp. 446-455. ISSN 2502-4752

Power-System-Design-using-Firefly-Algorithm-for-Dynamic-Stability-Enhancement.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (346kB) | Preview


Utilising additional devices in power systems have been developed by industry. Devices such as a Power System Stabilizer (PSS) and a Superconducting Magnetic Energy Storage (SMES) are commonly employed in industry. This work investigated the coordination of a PSS and SMES applied to a power system to enhance dynamic stability. To obtain optimal coordination, the parameters of the PSS and SMES are tuned using the Firefly Algorithm (FA). The simulation of the power system, PSS, and SMES has been performed using MATLAB and Simulink, and the FA run in Matlab. For testing the small signal stability, the eigenvalue of the system will be investigated, while for dynamic stability the system will be given an external disturbance. The rotor angle and frequency deviation of the power system are compared without a controller, with a PSS and SMES included, and with the PSS and SMES tuned by FA. The simulation results show that the proposed system can improve not only small signal stability (steady state stability) but also dynamic stability.

Item Type: Article
Uncontrolled Keywords: Power System Stabilizer; Firefly Algorithm; Superconducting Magnetic Energy Storage; Dynamic Stability
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Divisions: Electronics & Electrical Engineering (merged with Engineering 10 Aug 20)
Publisher: Indonesian Journal of Electrical Engineering and Computer Science
Date Deposited: 31 May 2017 12:25
Last Modified: 04 Sep 2021 11:29
DOI or ID number: 10.11591/ijeecs.v1.i3.pp446-455
URI: https://researchonline.ljmu.ac.uk/id/eprint/6603
View Item View Item