Designing Power System Stabilizer for Multimachine Power System Using Neuro-Fuzzy Algorithm
Keyword(s):
This paper describes a design procedure for a fuzzy logic based power system stabilizer (FLPSS) and adaptive neuro–fuzzy inference system (ANFIS) and investigates their robustness for a multi–machine power system. Speed deviation of a machine and its derivative are chosen as the input signals to the FLPSS. A four–machine and a two–area power system is used as the case study. Computer simulations for the test system subjected to transient disturbances i.e. a three phase fault, were carried out and the results showed that the proposed controller is able to prove its effectiveness and improve the system damping when compared to a conventional lead–lag based power system stabilizer controller.
Keyword(s):
2018 ◽
Vol 7
(3)
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pp. 176
Keyword(s):
2002 ◽
Vol 24
(2)
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pp. 153-173
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Keyword(s):
2016 ◽
Vol 26
(02)
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pp. 1750034
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2003 ◽
Vol 18
(1)
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pp. 128-135
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