Online tuning of power system stabilizer employing genetic programming for stability enhancement
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- @Article{SHAFIULLAH:2018:JESIT,
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author = "Md Shafiullah and Md Juel Rana and Md Shafiul Alam and
M. A. Abido",
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title = "Online tuning of power system stabilizer employing
genetic programming for stability enhancement",
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journal = "Journal of Electrical Systems and Information
Technology",
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volume = "5",
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number = "3",
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pages = "287--299",
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year = "2018",
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keywords = "genetic algorithms, genetic programming, Damping
ratio, Eigenvalue, Low-frequency oscillations, Power
system stabilizer",
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ISSN = "2314-7172",
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DOI = "doi:10.1016/j.jesit.2018.03.007",
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URL = "http://www.sciencedirect.com/science/article/pii/S2314717218300412",
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abstract = "This paper aims to design optimal power system
stabilizer (PSS) employing genetic programming (GP) to
enhance system stability through damping the
low-frequency oscillations out. GP is used to develop
model equations for PSS parameters where the inputs are
generator terminal voltage, active and reactive powers.
The dynamic performance of the proposed technique is
validated through the values of statistical performance
measures. The mean squared error (MSE) and mean
absolute percentage error (MAPE) are quite low whereas
the coefficient of determination (R2) is reasonably
high for the developed model. In addition, the
eigenvalue and minimum damping ratio analysis, as well
as time domain simulation, were carried out, which also
demonstrate the efficacy of the proposed model",
- }
Genetic Programming entries for
Md Shafiullah
Md Juel Rana
Mohammad Shafiul Alam
Mohammad Ali Abido
Citations