Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/10546
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dc.contributor.authorKasilingam, G.en_US
dc.contributor.authorPasupuleti, J.en_US
dc.contributor.authorNithiyananthan, K.en_US
dc.date.accessioned2018-11-07T08:11:40Z-
dc.date.available2018-11-07T08:11:40Z-
dc.date.issued2018-
dc.description.abstractIn this paper, a new evolutionary algorithm, namely the biogeography-based optimization (BBO) algorithm, is proposed to tune the Proportional Integral Derivative (PID) controller and power system stabilizer (PSS) parameters. The efficiency of BBO algorithm is verified on the single-machine infinite-bus (SMIB) system for various operating conditions. The proposed method suppresses the (0.1–2.5 Hz) low-frequency electromechanical oscillations and increases the power system stability via minimizing the objective function such as integral square error (ISE). Simulations of BBO-based PID, BBO-based PSS, BBO-based PID-PSS and conventional PSS are performed by using MATLAB/Simulink. The results show that BBO-based PID-PSS method improves the system performance and provides better dynamic performance. © Springer Nature Singapore Pte Ltd. 2018.-
dc.language.isoenen_US
dc.titleImplementation and analysis of BBO algorithm for better damping of rotor oscillations of a synchronous machineen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/978-981-10-7512-4_8-
item.grantfulltextnone-
item.fulltextNo Fulltext-
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