DocumentCode :
1612009
Title :
Dynamic stability enhancement using Genetic Algorithm Power System Stabilizer
Author :
Al-Hinai, Aysha
Author_Institution :
Dept. of Electr. & Comput. Eng., Sultan Qaboos Univ., Muscat, Oman
fYear :
2010
Firstpage :
1
Lastpage :
7
Abstract :
In this paper the dynamics of a single machine connected to infinite bus power system is analyzed. Such analysis requires a certain level of system modeling. The main system components models are the synchronous machine, excitation system and the Power System Stabilizer. The Matlab/Simulink is used as a programming tool to analyze the system performance. According to the system performance a proper design for the Power System Stabilizer (PSS) using Genetic Algorithm (GA) is carried out. Then the designed PSS is implemented in the model and the dynamic system response is analyzed. Since the simulation results without PSS showed unacceptable system response, the system response with the PSS has improved and the PSS succeeded to stabilize an unstable system. The designed PSS has been implemented in a microcontroller. Finally, the system response with PSS-microcontroller has been tested and compared with the simulation results.
Keywords :
genetic algorithms; power system stability; synchronous machines; dynamic stability enhancement; genetic algorithm; infinite bus power system; microcontroller; power system stabilizer; synchronous machine; Biological cells; Biological system modeling; Gallium; Voltage control; Dynamic Stability; Genetic Algorithm; Power System Stabilizer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power System Technology (POWERCON), 2010 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-5938-4
Type :
conf
DOI :
10.1109/POWERCON.2010.5666464
Filename :
5666464
Link To Document :
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