Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/8109
Title: Improvement of convergence property in the PSS parameter optimization under multiple system operating conditions
Authors: Ji, P
Wang, K
Tse, C
Keywords: Eigenvalue sensitivity
Nonlinear programming method
Parameter optimization
Power system stabilizer (PSS)
Issue Date: 2009
Publisher: 中國學術期刊(光盤版)電子雜誌社
Source: 電工技術學報 (Transactions of China Electrotechnical Society), 2009, v. 24, no. 3, p. 171-177 How to cite?
Journal: 電工技術學報 (Transactions of China Electrotechnical Society) 
Abstract: The objective function of the nonlinear programming method, used to optimize power system stabilizer(PSS) parameters under multiple operating conditions in a multi-machine system, is modified to improve the convergence property. The improved objective function is composed of the real part of all unstable and some stable eigenvalues, together with damping ratios of all eigenvalues dissatisfied and some eigenvalues satisfied with the system dynamic quality. These considered eigenvalues are multiplied by weighting coefficients determined by their corresponding stabilization degree. Based on an eight-machine system, convergence properties of the quasi-Newton method used to solve the optimization problem are discussed in details, with different eigenvalue range values and several weighting coefficient expressions, including the inverse function, linear function and so on. From these testing computations, both the weighting coefficient selecting rules and the preferable eigenvalue range are concluded. The results show that the convergence property can be improved efficiently by the proposed approach.
URI: http://hdl.handle.net/10397/8109
ISSN: 1000-6753
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