Effects of various power system stabilizers on improving power system dynamic performance

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• 作者：Ping He^a ; ^b ; Fushuan Wen^c ; ^d ; ^{fushuan.wen@gmail.com} ; Gerard Ledwich^c ; Yusheng Xue^e ; Kewen Wang^f
• 关键词：Power system stabilizer ; Eigenvalue analysis ; Small/large-signal stability ; Electromechanical modes
• 刊名：International Journal of Electrical Power and Energy Systems
• 出版年：2013
• 出版时间：March, 2013
• 年：2013
• 卷：46
• 期：Complete
• 页码：175-183
• 全文大小：889 K

文摘

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.