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, DOI https://doi.org/10.1016/j.ijepes.2011.12.022.
Full text not available from this repository.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 |
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Funders: | UNSPECIFIED |
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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