Open AccessStatistical t-test assessment on performance of power system stabilizer for oscillation damping
Author(s) -
Wai Myat Thu,
Kyaw Myo Lin
Publication year - 2021
Publication title -
international journal of applied power engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2624
pISSN - 2252-8792
DOI - 10.11591/ijape.v10.i3.pp271-280
Subject(s) - oscillation (cell signaling) , electric power system , stabilizer (aeronautics) , control theory (sociology) , low frequency oscillation , power (physics) , statistical analysis , damping ratio , statistical hypothesis testing , engineering , process (computing) , damping torque , computer science , mathematics , statistics , vibration , physics , structural engineering , acoustics , voltage , electrical engineering , artificial intelligence , control (management) , genetics , biology , operating system , direct torque control , quantum mechanics , induction motor
The statistical operation is necessary to validate the analytical procedure since the most important common operation is the comparison of result data to quantify accuracy and precision. In this paper, a statistical process is proposed to ensure the impact of power system stabilizers (PSSs) in 202-bus, 40-machine MEPE test system. The eigenvalue analysis is utilized for detecting the lowest damping modes and evaluating the damping ratio of system oscillation, and these modes are applied as input for statistical analysis. A t-test analysis was performed on the difference of damping performance by proposed designed PSS, tuned PSS, and without PSS to support the hypothesis. The t-test results validated that the MEPE test system with designed PSS is most applicable for the improvement of oscillation damping in the power system.