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

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

Research output: Contribution to conferencePaper

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. © 2013 IEEE.
Original languageEnglish
Pages66-70
Number of pages58
DOIs
Publication statusPublished - 01 Jan 2013
Externally publishedYes
EventCEAT 2013 - 2013 IEEE Conference on Clean Energy and Technology -
Duration: 01 Jan 2013 → …

Conference

ConferenceCEAT 2013 - 2013 IEEE Conference on Clean Energy and Technology
Period01/01/13 → …

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damping
Damping
Controllers
System stability
Electric power system interconnection
heuristics
Particle swarm optimization (PSO)
oscillation
Tuning
Lead
simulation
parameter

All Science Journal Classification (ASJC) codes

  • Building and Construction
  • Energy(all)
  • Mechanical Engineering
  • Management, Monitoring, Policy and Law

Cite this

Islam, N. N., Hannan, M. A., Shareef, H., & Mohamed, A. (2013). SVC damping controller design based on firefly optimization algorithm in multi machine power system. 66-70. Paper presented at CEAT 2013 - 2013 IEEE Conference on Clean Energy and Technology, . https://doi.org/10.1109/CEAT.2013.6775601
Islam, Naz Niamul ; Hannan, M. A. ; Shareef, Hussain ; Mohamed, Azah. / SVC damping controller design based on firefly optimization algorithm in multi machine power system. Paper presented at CEAT 2013 - 2013 IEEE Conference on Clean Energy and Technology, .58 p.
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Islam, NN, Hannan, MA, Shareef, H & Mohamed, A 2013, 'SVC damping controller design based on firefly optimization algorithm in multi machine power system' Paper presented at CEAT 2013 - 2013 IEEE Conference on Clean Energy and Technology, 01/01/13, pp. 66-70. 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; Hannan, M. A.; Shareef, Hussain; Mohamed, Azah.

2013. 66-70 Paper presented at CEAT 2013 - 2013 IEEE Conference on Clean Energy and Technology, .

Research output: Contribution to conferencePaper

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Islam NN, Hannan MA, Shareef H, Mohamed A. SVC damping controller design based on firefly optimization algorithm in multi machine power system. 2013. Paper presented at CEAT 2013 - 2013 IEEE Conference on Clean Energy and Technology, . https://doi.org/10.1109/CEAT.2013.6775601