Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/28323
Title: Probabilistic power system stabilizer design with consideration of optimal siting using recursive Genetic Algorithm
Authors: Wang, Z
Chung, CY
Wong, KP
Gan, D
Xue, Y
Keywords: Genetic Algorithm
optimal siting
partially matched crossover
power system stabilizer (PSS)
probabilistic theory
Issue Date: 2011
Publisher: John Wiley & Sons
Source: European transactions on electrical power, 2011, v. 21, no. 3, p. 1409-1424 How to cite?
Journal: European transactions on electrical power 
Abstract: This paper proposes an approach for the probabilistic power system stabilizer (PSS) design problem with consideration of optimal siting of the PSSs under multiple operating conditions. The design problem is first formulated as a combinational optimization problem which contains discrete and continuous variables. The paper then develops a recursive Genetic Algorithm (GA) to solve the design problem. An integer-binary mixed coding scheme and a partially matched crossover (PMX) operator are applied for the recursive GA for performance enhancement. The effectiveness of the proposed recursive GA approach for probabilistic PSS design scheme is demonstrated on two test systems.
URI: http://hdl.handle.net/10397/28323
ISSN: 1430-144X
DOI: 10.1002/etep.508
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