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dc.contributor.authorMathur, Hitesh Dutt-
dc.date.accessioned2023-02-16T09:55:22Z-
dc.date.available2023-02-16T09:55:22Z-
dc.date.issued2017-
dc.identifier.urihttps://www.tandfonline.com/doi/abs/10.1080/15325008.2017.1334103-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9280-
dc.description.abstractThis paper emphasizes the development of control strategy for inter-area oscillation suppression for a unified two-area hydro–thermal deregulated power system. A proportional derivative-type fuzzy logic controller with integral (PDFLC+I) controller was proposed for automatic generation control. Further comparisons among conventional integral controller, proportional integral derivative controller, and PDFLC+I are carried out, where the PDFLC+I controller is optimized by four different optimization techniques namely, algorithm, ant colony optimization, classical particle swarm optimization, and adaptive particle swarm optimization. In PDFLC+I controller optimization, scaling parameters of controllers are optimized. A comparative study shows that the proposed PDFLC+I controller has a better dynamic response following a step load change for the combination of PoolCo and bilateral contract-type transaction in deregulated environment. Proposed controller performance has also been examined for ±30% variation in system parameters. Non-linearity in the form of governor dead band is taken into account during simulation.en_US
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.subjectEEEen_US
dc.subjectTwo-area power systemen_US
dc.subjectAutomatic generation controlen_US
dc.subjectProportional-integral-derivative controlleren_US
dc.subjectAdaptive particle swarm optimizationen_US
dc.subjectZiegler–Nichols methoden_US
dc.titlePower-Frequency Balance in Multi-generation System Using Optimized Fuzzy Logic Controlleren_US
dc.typeArticleen_US
Appears in Collections:Department of Electrical and Electronics Engineering

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