Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/462851
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dc.date.accessioned2023-02-18T10:42:31Z-
dc.date.available2023-02-18T10:42:31Z-
dc.identifier.urihttp://hdl.handle.net/10603/462851-
dc.description.abstractIncreasing power demand and gradual addition of intermittent renewable generating sources to the conventional grid cause a serious drawback in modern power system like frequency instability. This primarily motivates to do further research on the issue of power system frequency control by applying Artificial Intelligence (AI) techniques and novel controllers to manage the Load Frequency Control (LFC). An intelligent LFC mechanism maintains the power system dynamic stability by diminishing peak overshoot/undershoot and settling time of frequency deviation for numerous system disturbances.The performance of the LFC scheme is governed by the controller structure and AI techniques. In this context, novel modified AI techniques and new controller structures are proposed. Modified Salp Swarm Algorithm (mSSA), Sine adapted Whale Optimization Algorithm (SiWOA), Sine Cosine adapted Harris Hawks Optimization (SCaHHO)technique and a modified Moth Flame Optimization (mMFO) technique are the soft computing techniques proposed in the thesis. In order to handle the complexity of modern power system, the role of intelligent controller is also foremost. So,manyintelligentcontrol approaches like Fractional Order Adaptive Fuzzy Proportional Integral Derivative controller with Filter (FOAFPIDF), Adaptive Fuzzy Proportional Integral Derivativecontroller (AFPID), Adaptive Fuzzy Proportional Integral Derivative-I (AFPID-I) controller, Adaptive Fuzzy Proportional Integral Derivative-II (AFPID-II)controller and Fractional Order Fuzzy Precompensated Proportional Derivative Proportional Integral (FO-FPPDPI)controller is proposed in this research work.Several Hybrid Power System (HPS) structures and interconnected two area conventional power system are considered for the validation of newly proposed LFC schemes. newlineA modified salp swarm algorithm technique is suggested for optimal tuning of an intelligent load frequency controller using FOAFPIDF.
dc.format.extent
dc.languageEnglish
dc.relation200
dc.rightsuniversity
dc.titleFrequency Control of Hybrid Power Systems by Optimized Adaptive Fuzzy Controllers
dc.title.alternative
dc.creator.researcherMohanty, Debidasi
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.note
dc.contributor.guidePanda, S
dc.publisher.placeSambalpur
dc.publisher.universityVeer Surendra Sai University of Technology
dc.publisher.institutionDepartment of Electrical Engineering
dc.date.registered2016
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Electrical Engineering

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01_title.pdfAttached File84.88 kBAdobe PDFView/Open
02_prelim pages.pdf732.61 kBAdobe PDFView/Open
03_contents.pdf258.45 kBAdobe PDFView/Open
04_abstract.pdf279.99 kBAdobe PDFView/Open
05_chapter 1.pdf965.57 kBAdobe PDFView/Open
06_chapter 2.pdf3.03 MBAdobe PDFView/Open
07_chapter 3.pdf3.25 MBAdobe PDFView/Open
08_chapter 4.pdf3.91 MBAdobe PDFView/Open
09_chapter 5.pdf4.02 MBAdobe PDFView/Open
10_chapter 6.pdf3.24 MBAdobe PDFView/Open
11_chapter 7.pdf474.41 kBAdobe PDFView/Open
12_annexures.pdf1.61 MBAdobe PDFView/Open
80_recommendation.pdf554.67 kBAdobe PDFView/Open


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