Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25332
Title: Coordinated design of probabilistic PSS and SVC damping controllers
Authors: Bian, XY
Tse, CT
Zhang, JF
Wang, KW
Keywords: Eigenvalue
Eigenvalue sensitivity
Probabilistic method
PSS
SVC
Issue Date: 2011
Publisher: Elsevier
Source: International journal of electrical power and energy systems, 2011, v. 33, no. 3, p. 445-452 How to cite?
Journal: International journal of electrical power and energy systems 
Abstract: This paper presents an application of probabilistic theory to the coordinated design of power system stabilizers (PSSs) and FACTS controllers, taking static VAr system (SVC) as an example. The aim is to enhance the damping of multi electro-mechanical modes in a multimachine system over a large and pre-specified set of operating conditions. In this work, conventional eigenvalue analysis is extended to the probabilistic environment in which the statistical nature of eigenvalues corresponding to different operating conditions is described by their expectations and variances. Probabilistic sensitivity indices (PSIs) are used for robust damping controller site selection and for optimization objective functions. A probabilistic eigenvalue-based objective function is employed for coordinated design of PSS and SVC controller parameters. The effectiveness of the proposed controllers is demonstrated on an 8-machine system.
URI: http://hdl.handle.net/10397/25332
ISSN: 0142-0615
DOI: 10.1016/j.ijepes.2010.10.006
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