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University of Tennessee at Chattanooga

An exiplicit damping sensitivity expression for power system stabilizers applications in power systems

Abstract

dc:description.abstract

Interconnected power systems are subject to low frequency oscillations. These oscillations, if poorly damped, threaten the stability of the system and limit its power transfer capability. Power System Stabilizers (PSS) are widely used to enhance the damping of electromechanical oscillatory modes. Conventional methods to tune power system stabilizers attempt to provide the required magnitude/phase shift compensation through frequency response or mode sensitivity analysis. However, these methods do not operate directly on the damping sensitivity of the mode. A novel method to calculate the damping sensitivity has been developed in this work. It operates on mode damping directly to achieve optimum damping for the under-damped oscillatory modes. The proposed method has been used to tune simple stabilizers for the well-known two-area four-machine power system problem and the IEEE9-Bus system. It is compared with results obtained from complex and robust PSS designs, and found to offer comparable outcomes.

Degree

thesis:*
Grantor dc:publisher
University of Tennessee at Chattanooga
Year dc:date.available
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ahmed, Miyada
Contributors dc:contributor
  • Eltom, Ahmed H.
  • Karrar, Abdelrahman A.; Kobet, Gary L.
  • College of Engineering and Computer Science

Subjects

dc:subject × 2

Rights

dc:rights
Language dc:language
English, eng

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholar.utc.edu/theses/519
OAI identifier oai:identifier
oai:scholar.utc.edu:theses-1671

Chain of custody

source
Harvested from
University of Tennessee - Chattanooga
Base URL
scholar.utc.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Ahmed, Miyada. An exiplicit damping sensitivity expression for power system stabilizers applications in power systems. University of Tennessee at Chattanooga, 2019. https://scholar.utc.edu/theses/519