@inproceedings{dadca06d410c49c886c2893a5929ec3a,
title = "Probabilistic PSS design using differential evolution",
abstract = "This paper applies differential evolution (DE) for parameter optimization of power system stabilizers (PSSs) to enhance the damping of multiple electromechanical modes in multimachine systems over a large and pre-specified set of operating conditions. With the assumption of normal distribution, the statistical nature of the eigenvalues is described by their expectations and variances. A probabilistic eigenvalue-based optimization problem used for determining PSS parameters is then formulated and minimized by the DE algorithm. The effectiveness of the proposed method has been tested based on an eight-machine system.",
keywords = "Differential evolution (DE), Eigenvalue, Power system stabilizer (PSS), Probabilistic theory, Sensitivity",
author = "Z. Wang and Chung, {C. Y.} and Wong, {K. P.} and Tse, {C. T.} and Wang, {K. W.} and Zhang, {J. F.}",
year = "2006",
month = nov,
doi = "10.1049/cp:20062252",
language = "English",
isbn = "0863412467",
series = "IET Conference Publications",
number = "523 CP",
booktitle = "7th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2006)",
edition = "523 CP",
note = "7th IET International Conference on Advances in Power System Control, Operation and Management, APSCOM 2006 ; Conference date: 30-10-2006 Through 02-11-2006",
}