Title :
A Study on PSS Parameters Optimizing for Multiple Low Frequency Oscillation Modes
Author :
Wang, Hao-jing ; Min, Jie ; Ma, Jin ; Wang, Hong-yin ; Fu, Hong-jun ; Hu, Yang-yu
Author_Institution :
Dept. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing, China
Abstract :
Power System Stabilizer (PSS) is widely applied in power systems as an effective measure to damping the low frequency oscillations. The control effectiveness of PSS is fundamentally determined by appropriate parameters. The conventional method for setting the parameters of PSS only takes a single oscillation mode into account, which may have sub optimal damping performance in other modes. As a further study of the classical phase compensation method for PSS tuning, this paper presents a technique for parameters optimization based on genetic algorithms, taking several oscillation modes into consideration. The simulation results on a four-machine two-area power system demonstrate the effectiveness of PSS designed by the proposed method.
Keywords :
genetic algorithms; power system stability; PSS tuning; four-machine two-area power system; genetic algorithms; multiple low frequency oscillation modes; phase compensation method; power system stabilizer; pss parameter optimization; suboptimal damping performance; Damping; Generators; Genetic algorithms; Oscillators; Power system stability; Tuning;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6253-7
DOI :
10.1109/APPEEC.2011.5748599