Power system stability assessment using measurement based modal analysis

Rajmurugan, Sakthivel (2018) Power system stability assessment using measurement based modal analysis. Masters thesis, Memorial University of Newfoundland.

[img] [English] PDF - Accepted Version
Available under License - The author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission.

Download (6MB)


Stability analysis of larger power system can be challenging and difficult. This is mainly due to the effect of several power system phenomena which are no longer negligible when the analysis is made on larger and complex power systems. The modelling of these unknown number of power system phenomena increases the overall model complexity. This causes the simulation more time consuming which does not help in improving stability of the system in the event of disturbance. Although, reduced order modelling of larger power system is considered as temporary solution, there is always a risk of producing different results than the actual power system response. In this thesis, various types of measurement based modal analysis is studied in detail as an alternate approach to the conventional model based modal analysis. This is based on the fact that any disturbance given to the system excites a particular eigenvalue pair/s causing significant reduction in damping ratio and thereby moving the system towards instability. These eigenvalue pair/s of each generator can be extracted directly from obtained system response using various mathematical techniques. Both time domain and frequency domain techniques are analyzed and compared with the results of model based modal analysis. Different IEEE test cases are considered based on the type of domain in which the data is analyzed.

Item Type: Thesis (Masters)
URI: http://research.library.mun.ca/id/eprint/13543
Item ID: 13543
Additional Information: Includes bibliographical references (pages 115-119).
Keywords: Power System, Stability, Modal Analysis, Measurement based techniques, Time domain techniques, Frequency domain techniques, PSS tuning
Department(s): Engineering and Applied Science, Faculty of
Date: October 2018
Date Type: Submission
Library of Congress Subject Heading: Power (Mechanics)--Management--Mathematical models.

Actions (login required)

View Item View Item


Downloads per month over the past year

View more statistics