Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
705640 | Electric Power Systems Research | 2009 | 11 Pages |
Abstract
This paper proposes a method that can incorporate system contingencies into power system stabilizer (PSS) design. Selection of critical contingencies is first performed by a ranking of contingencies under a wide range of operating conditions according to a small signal stability index. A multi-objective optimization model is formulated to pursue satisfactory system damping performance under both pre-contingency and post-contingency situations. A recursive Genetic Algorithm is then presented to tune the PSS parameters so that the dynamic security criteria subject to contingencies are met under a wide range of operating conditions. Finally, an eight-machine system is utilized to demonstrate the effectiveness of the proposed approach and a comparison of the proposed method with a pre-contingency tuning scheme is reported.
Related Topics
Physical Sciences and Engineering
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Energy Engineering and Power Technology
Authors
Z. Wang, C.Y. Chung, K.P. Wong,