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Damping of low-frequency oscillations and improving power system stability via auto-tuned PI stabilizer using Takagi-Sugeno fuzzy logic

Journal Article


Abstract


  • "This paper proposes a Takagi-Sugeno (TS) fuzzy gain-scheduling PI stabilizer to damp the power system low-frequency oscillations and enhance power system stability. The work describes the construction of appropriate fuzzy membership functions and rules for a Power System Stabilizer (PSS) so that its proportional and integral gains can be automatically tuned in real-time to react to changes in the system operating conditions. To find the optimal number and locations of required stabilizers, this paper uses the participation factor method. Simulation results on a practical power system demonstrate that the proposed stabilizer is effective in damping low-frequency oscillations as well as improving system dynamic stability and voltage profile. In addition, the proposed approach provides superior performance when compared to a conventional PI PSS. (C) 2011 Elsevier Ltd. All rights reserved."

Authors


  •   Hassan, Lokman H. (external author)
  •   Moghavvemi, Mahmoud (external author)
  •   Almurib, Haider A. F. (external author)
  •   Muttaqi, Kashem M.
  •   Du, Haiping

Publication Date


  • 2012

Citation


  • L. H. Hassan, M. Moghavvemi, H. A. F. Almurib, K. M. Muttaqi & H. Du, "Damping of low-frequency oscillations and improving power system stability via auto-tuned PI stabilizer using Takagi-Sugeno fuzzy logic," International Journal of Electrical Power and Energy Systems, vol. 38, (1) pp. 72-83, 2012.

Scopus Eid


  • 2-s2.0-84862001342

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/144

Has Global Citation Frequency


Number Of Pages


  • 11

Start Page


  • 72

End Page


  • 83

Volume


  • 38

Issue


  • 1

Place Of Publication


  • Oxford, United Kingdom

Abstract


  • "This paper proposes a Takagi-Sugeno (TS) fuzzy gain-scheduling PI stabilizer to damp the power system low-frequency oscillations and enhance power system stability. The work describes the construction of appropriate fuzzy membership functions and rules for a Power System Stabilizer (PSS) so that its proportional and integral gains can be automatically tuned in real-time to react to changes in the system operating conditions. To find the optimal number and locations of required stabilizers, this paper uses the participation factor method. Simulation results on a practical power system demonstrate that the proposed stabilizer is effective in damping low-frequency oscillations as well as improving system dynamic stability and voltage profile. In addition, the proposed approach provides superior performance when compared to a conventional PI PSS. (C) 2011 Elsevier Ltd. All rights reserved."

Authors


  •   Hassan, Lokman H. (external author)
  •   Moghavvemi, Mahmoud (external author)
  •   Almurib, Haider A. F. (external author)
  •   Muttaqi, Kashem M.
  •   Du, Haiping

Publication Date


  • 2012

Citation


  • L. H. Hassan, M. Moghavvemi, H. A. F. Almurib, K. M. Muttaqi & H. Du, "Damping of low-frequency oscillations and improving power system stability via auto-tuned PI stabilizer using Takagi-Sugeno fuzzy logic," International Journal of Electrical Power and Energy Systems, vol. 38, (1) pp. 72-83, 2012.

Scopus Eid


  • 2-s2.0-84862001342

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/144

Has Global Citation Frequency


Number Of Pages


  • 11

Start Page


  • 72

End Page


  • 83

Volume


  • 38

Issue


  • 1

Place Of Publication


  • Oxford, United Kingdom