Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/524482
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dc.coverage.spatialEvolutionary algorithm based performance enhancement of automatic generation control in Multi Source interconnected power systems
dc.date.accessioned2023-11-09T09:33:17Z-
dc.date.available2023-11-09T09:33:17Z-
dc.identifier.urihttp://hdl.handle.net/10603/524482-
dc.description.abstractThe increasing demand for electricity and global attention to the environment newlinehas led energy planners and developers to explore developing control techniques for newlineenergy stability. The main objective function of this research in an interconnected newlineelectrical power system to increase the stability of the system with the proposed newlineResilience Random Variance Reduction Technique is evaluated in terms of the different newlineconstraints like THD (%), steady-state error (%), settling time (sec), Overshoot (%), newlineefficiency (%) and to maintain the Frequency at a predetermined value, and controlling newlinethe change of the power flow of control between the areas renewable energy generation newline(Solar, wind, and fuel cell with battery management system) based smart grid system. newlineIn this work, a Fractional High-Order Differential Feedback Controller (FHODFC) is newlineproposed for the LFC problems in a multi-area power system. The gains of FHODFC newlineare best adjusted by RRVR designed to minimize the overall weighted absolute error newlineperformance exponential time. newlineIn the current situation of the power system, with the need to increase power newlineto meet the availability of all types of loads, the quality of power is equal to the demand. newlineOn this day, there is no change, and a demanding power supply with a stable and reliable newlinepower supply at all times. Therefore, in order to maintain the quality and power to meet newlinethe current reforms in the power sector and to adapt to the changes in the demands of newlinethe industrial sector thus changing in frequency, an advanced controller is necessary. newlineThis work presents a Revolutionary Energy Balance Control (REBC) controller newlineapproach for automatic generation controller. This AGC technique seeks to balance the newlinewhole producing system while maintaining a constant system frequency per tie-lie newlinepower flow, with no power losses or load fluctuations. To decrease the maximum newlinedeviation and oscillation duration, modeling error is taken into consideration. The newlinefundamental goal of FOPID based AGC is to ensure that power sys
dc.format.extentxix,200p.
dc.languageEnglish
dc.relationP.187-199
dc.rightsuniversity
dc.titleEvolutionary algorithm based performance enhancement of automatic generation control in Multi Source interconnected power systems
dc.title.alternative
dc.creator.researcherPrakash Ayyappan, B
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.subject.keywordInterconnected Power System
dc.subject.keywordMulti-Source and single-Area
dc.subject.keywordResilience Random Variance Reduction Technique
dc.description.note
dc.contributor.guideKanimozhi, R
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Electrical Engineering
dc.date.registered
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions21cm.
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Electrical Engineering

Files in This Item:
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01_title.pdfAttached File139.61 kBAdobe PDFView/Open
02_prelim pages.pdf1.89 MBAdobe PDFView/Open
03_content.pdf165.64 kBAdobe PDFView/Open
04_abstract.pdf145.38 kBAdobe PDFView/Open
05_chapter 1.pdf949.6 kBAdobe PDFView/Open
06_chapter 2.pdf552.06 kBAdobe PDFView/Open
07_chapter 3.pdf2.12 MBAdobe PDFView/Open
08_chapter 4.pdf1.8 MBAdobe PDFView/Open
09_chapter 5.pdf1.2 MBAdobe PDFView/Open
10_chapter 6.pdf1.06 MBAdobe PDFView/Open
11_annexures.pdf160.66 kBAdobe PDFView/Open
80_recommendation.pdf671.94 kBAdobe PDFView/Open


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