SVC damping controller design based on firefly optimization algorithm in multi machine power system

Naz Niamul Islam, Hannan M A, Hussain Shareef, Azah Mohamed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Power system stability is a great concern in today's interconnected power system especially when the system is subjected to a fault. These faults occasionally lead to Low Frequency Oscillation (LFO). Therefore, Shunt Flexible AC Transmission System (FACTS) devices for example, SVC are employed to provide damping to attain system stability. The performance of SVC is totally dependent on proper tuning of its controller and usually heuristic optimization techniques are used to search the best controller parameters. In this paper, a popular metaheuristic optimization technique known as Firefly Algorithm (FA) is presented for optimal design of SVC controller in multi machine power system. In the simulation, the linearized model of power system and conventional lead-lag controller as SVC damping controller are used. The performance of obtained results using Firefly Algorithm (FA) is compared with the results obtained from Particle Swarm Optimization (PSO) Algorithm. The comparison of attained results show that FA can find more optimal parameter values of SVC damping controller and subsequently enhance power system stability.

Original languageEnglish
Title of host publicationCEAT 2013 - 2013 IEEE Conference on Clean Energy and Technology
PublisherIEEE Computer Society
Pages66-70
Number of pages5
DOIs
Publication statusPublished - 2013
Event2013 IEEE Conference on Clean Energy and Technology, CEAT 2013 - Langkawi
Duration: 18 Nov 201320 Nov 2013

Other

Other2013 IEEE Conference on Clean Energy and Technology, CEAT 2013
CityLangkawi
Period18/11/1320/11/13

Fingerprint

Damping
Controllers
System stability
Electric power system interconnection
Particle swarm optimization (PSO)
Tuning
Lead

Keywords

  • Damping Controller
  • FACTS
  • Firefly Algorithm (FA)
  • Multi Machine Power System
  • Optimization
  • SVC

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Fuel Technology

Cite this

Islam, N. N., M A, H., Shareef, H., & Mohamed, A. (2013). SVC damping controller design based on firefly optimization algorithm in multi machine power system. In CEAT 2013 - 2013 IEEE Conference on Clean Energy and Technology (pp. 66-70). [6775601] IEEE Computer Society. https://doi.org/10.1109/CEAT.2013.6775601

SVC damping controller design based on firefly optimization algorithm in multi machine power system. / Islam, Naz Niamul; M A, Hannan; Shareef, Hussain; Mohamed, Azah.

CEAT 2013 - 2013 IEEE Conference on Clean Energy and Technology. IEEE Computer Society, 2013. p. 66-70 6775601.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Islam, NN, M A, H, Shareef, H & Mohamed, A 2013, SVC damping controller design based on firefly optimization algorithm in multi machine power system. in CEAT 2013 - 2013 IEEE Conference on Clean Energy and Technology., 6775601, IEEE Computer Society, pp. 66-70, 2013 IEEE Conference on Clean Energy and Technology, CEAT 2013, Langkawi, 18/11/13. https://doi.org/10.1109/CEAT.2013.6775601
Islam NN, M A H, Shareef H, Mohamed A. SVC damping controller design based on firefly optimization algorithm in multi machine power system. In CEAT 2013 - 2013 IEEE Conference on Clean Energy and Technology. IEEE Computer Society. 2013. p. 66-70. 6775601 https://doi.org/10.1109/CEAT.2013.6775601
Islam, Naz Niamul ; M A, Hannan ; Shareef, Hussain ; Mohamed, Azah. / SVC damping controller design based on firefly optimization algorithm in multi machine power system. CEAT 2013 - 2013 IEEE Conference on Clean Energy and Technology. IEEE Computer Society, 2013. pp. 66-70
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