Effects of various power system stabilizers on improving power system dynamic performance
He, Ping, Wen, Fushuan, Ledwich, Gerard, Xue, Yusheng, & Wang, Kewen (2012) Effects of various power system stabilizers on improving power system dynamic performance. International Journal of Electrical Power and Energy Systems, 46(March), pp. 175-183.
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To ensure the small-signal stability of a power system, power system stabilizers (PSSs) are extensively applied for damping low frequency power oscillations through modulating the excitation supplied to synchronous machines, and increasing interest has been focused on developing different PSS schemes to tackle the threat of damping oscillations to power system stability. This paper examines four different PSS models and investigates their performances on damping power system dynamics using both small-signal eigenvalue analysis and large-signal dynamic simulations. The four kinds of PSSs examined include the Conventional PSS (CPSS), Single Neuron based PSS (SNPSS), Adaptive PSS (APSS) and Multi-band PSS (MBPSS). A steep descent parameter optimization algorithm is employed to seek the optimal PSS design parameters. To evaluate the effects of these PSSs on improving power system dynamic behaviors, case studies are carried out on an 8-unit 24-bus power system through both small-signal eigenvalue analysis and large-signal time-domain simulations.
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|Item Type:||Journal Article|
|Keywords:||Power system stabilizer, Eigenvalue analysis, Small/large-signal stability, Electromechanical modes|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Power and Energy Systems Engineering (excl. Renewable Power) (090607)|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2012 Elsevier Ltd. All rights reserved.|
|Deposited On:||12 Dec 2012 01:19|
|Last Modified:||13 Dec 2012 03:02|
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