Online tuning of power system stabilizer employing genetic programming for stability enhancement

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@Article{SHAFIULLAH:2018:JESIT,

• author = "Md Shafiullah and Md Juel Rana and Md Shafiul Alam and M. A. Abido",
• title = "Online tuning of power system stabilizer employing genetic programming for stability enhancement",
• journal = "Journal of Electrical Systems and Information Technology",
• volume = "5",
• number = "3",
• pages = "287--299",
• year = "2018",
• keywords = "genetic algorithms, genetic programming, Damping ratio, Eigenvalue, Low-frequency oscillations, Power system stabilizer",
• ISSN = "2314-7172",
• DOI = "doi:10.1016/j.jesit.2018.03.007",
• URL = "http://www.sciencedirect.com/science/article/pii/S2314717218300412",
• 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