Design of new fractional order PI-fractional order PD cascade controller through dragonfly search algorithm for advanced load frequency control of power systems

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dc.contributor.authorCelik, Emre
dc.date.accessioned2021-12-01T18:46:53Z
dc.date.available2021-12-01T18:46:53Z
dc.date.issued2021
dc.department[Belirlenecek]en_US
dc.description.abstractOwing to integrating the dense range of distinct electric power sources, high volume of power generation units, abrupt and continuous changes in load demand, and rising utilization of power electronics, the electric power system (EPS) is striving for high-performance control schemes to counterwork the concerns depicted above. Additionally, it is highly creditable to have the controller structure as simple as possible from a viewpoint of practical implementation. Thus, this paper describes a virgin application of fractional order proportional integral-fractional order proportional derivative (FOPI-FOPD) cascade controller for load frequency control (LFC) of electric power generating systems. The proposed controller includes fractional order PI and fractional order PD controllers connected in cascade wherein orders of integrator (lambda) and differentiator (mu) may be fractional. The gains and fractional order parameters of the controller are concurrently tuned using recently proposed dragonfly search algorithm (DSA) by minimizing the integral time absolute error (ITAE) of frequency and tie-line power deviations. DSA is the mathematical model and computer simulation of static and dynamic swarming behaviors of dragonflies in nature, and its implementation in LFC studies is very rare, unveiling additional research gap to be bridged. Performance of the advocated approach is first explored on popular two-area thermal PS with/without governor dead band (GDB) nonlinearity and then on three-area hydrothermal PS with suitable generation rate constraints. To highlight the prominence and universality of our proposal, the work is extended to single-/multi-area multi-source EPSs. Several comparisons with DSA optimized FOPID controller and the relevant recent works for each test system indicate the contribution of proposed DSA optimized FOPI-FOPD cascade controller in alleviating settling time/undershoot/overshoot of frequency and tie-line power oscillations.en_US
dc.identifier.doi10.1007/s00500-020-05215-w
dc.identifier.endpage1217en_US
dc.identifier.issn1432-7643
dc.identifier.issn1433-7479
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85088983409en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage1193en_US
dc.identifier.urihttps://doi.org/10.1007/s00500-020-05215-w
dc.identifier.urihttps://hdl.handle.net/20.500.12684/10029
dc.identifier.volume25en_US
dc.identifier.wosWOS:000555752400001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorCelik, Emre
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofSoft Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectLoad frequency controlen_US
dc.subjectGovernor dead banden_US
dc.subjectGeneration rate constrainten_US
dc.subjectFractional order PI-fractional order PD (FOPI-FOPD) cascade controlleren_US
dc.subjectDragonfly search algorithmen_US
dc.subjectOptimizationen_US
dc.subjectAutomatic-Generation Controlen_US
dc.subjectDifferential Evolution Algorithmen_US
dc.subjectComparative Performance Analysisen_US
dc.subjectLearning Based Optimizationen_US
dc.subjectAgcen_US
dc.subjectFlowen_US
dc.subjectPlugen_US
dc.titleDesign of new fractional order PI-fractional order PD cascade controller through dragonfly search algorithm for advanced load frequency control of power systemsen_US
dc.typeArticleen_US

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