DocumentCode :
605358
Title :
Dynamic stability enhancement of power system using fuzzy logic based power system stabilizer
Author :
Kushwaha, M. ; Khare, Rahul
Author_Institution :
Electr. & Electron. Dept., Oriental Inst. of Sci. & Technol., Bhopal, India
fYear :
2013
fDate :
6-8 Feb. 2013
Firstpage :
213
Lastpage :
219
Abstract :
The power system is a dynamic system and it is constantly being subjected to disturbances. It is important that these disturbances do not drive the system to unstable conditions. For this purpose, additional signal derived from deviation, excitation deviation and accelerating power are injected into voltage regulators. The device to provide these signals is referred as power system stabilizer. The use of power system stabilizer has become very common in operation of large electric power systems. The conventional PSS which uses lead-lag compensation, where gain setting designed for specific operating conditions, is giving poor performance under different loading conditions. Therefore, it is very difficult to design a stabilizer that could present good performance in all operating points of electric power systems. In an attempt to cover a wide range of operating conditions, Fuzzy logic control has been suggested as a possible solution to overcome this problem, thereby using linguist information and avoiding a complex system mathematical model, while giving good performance under different operating conditions.
Keywords :
fuzzy control; power system control; power system dynamic stability; power system faults; voltage regulators; PSS; accelerating power; complex system mathematical model; excitation deviation; fuzzy logic based power system stabilizer; fuzzy logic control; large electric power systems; lead-lag compensation; power system dynamic stability enhancement; voltage regulators; Damping; Fuzzy logic; Generators; Mathematical model; Power system stability; Torque; Voltage control; Automatic Voltage Regulator (AVR); Controller Design; Fuzzy Logic Controller (FLC); Generator Excitation System; PID; Power System Stabilizer; Robust control; Synchronous Machine Model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power, Energy and Control (ICPEC), 2013 International Conference on
Conference_Location :
Sri Rangalatchum Dindigul
Print_ISBN :
978-1-4673-6027-2
Type :
conf
DOI :
10.1109/ICPEC.2013.6527653
Filename :
6527653
Link To Document :
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