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

Hassan, L.H. and Moghavvemi, M. and Almurib, H.A.F. and Muttaqi, K.M. and Du, H. (2012) 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 & Energy Systems, 38 (1). pp. 72-83. ISSN 0142-0615

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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. © 2011 Elsevier Ltd. All rights reserved.

Item Type: Article
Uncontrolled Keywords: Low-frequency oscillations; Power system modeling; Power system stability; PSS; Takagi-sugeno fuzzy system; Low-frequency oscillations; Power system modeling; Power system stability; PSS; Takagi Sugeno fuzzy systems; Damping; System stability
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering
Depositing User: Ms. Norhamizah Tamizi
Date Deposited: 20 Mar 2014 04:16
Last Modified: 23 Nov 2017 03:25
URI: http://eprints.um.edu.my/id/eprint/9652

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