Neurogenetic approach for real-time damping of low-frequency oscillations in electric networks

Mohammad Shoaib Shahriar, Md Shafiullah*, Md Juel Rana, Amjad Ali, Ashik Ahmed, Syed Masiur Rahman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


Low-frequency oscillations should be dealt with extreme care for secure electric networks. This paper tunes the critical parameters of power system stabilizers in three different electric networks in real-time, employing the neurogenetic approach to damp out the low-frequency oscillations. The first network is a single machine infinite bus power system equipped with a power system stabilizer. Besides, the second and third networks are coordinated with second-generation flexible alternating current transmission system devices, namely a unified power flow controller and static synchronous compensator in coordination with power system stabilizers, respectively. The investigation of eigenvalue and minimum damping ratio analyses for different loading conditions proves the efficiency of the proposed approach. Additionally, the time-domain simulation comparison shows the superiority of the proposed approach over the conventional method. Besides, the satisfactory values of the statistical performance measures give confidence to the proposed approach in predicting power system stabilizer parameters and thus mitigating the low-frequency oscillations in real-time.

Original languageEnglish
Article number106600
JournalComputers and Electrical Engineering
StatePublished - May 2020

Bibliographical note

Funding Information:
The authors appreciate the research facility provided by the King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia.

Publisher Copyright:
© 2020


  • Flexible alternating current (AC) transmission systems (FACTS)
  • Low-frequency oscillations (LFO)
  • Neurogenetic model
  • Power system stability
  • Static synchronous compensator (STATCOM)
  • Unified power flow controller (UPFC)

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science (all)
  • Electrical and Electronic Engineering


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