Analysis of classical root-finding methods applied to digital maximum power point tracking for photovoltaic energy generation

Simple item page
dc.contributor.advisorKwasinski, Alexisen
dc.contributor.committeeMemberGrady, Williamen
dc.contributor.committeeMemberDriga, Mirceaen
dc.contributor.committeeMemberHallock, Garyen
dc.contributor.committeeMemberByoun, Jaesooen
dc.creatorChun, Seunghyunen
dc.date.accessioned2011-10-21T20:09:47Zen
dc.date.accessioned2017-05-11T22:23:35Z
dc.date.available2011-10-21T20:09:47Zen
dc.date.available2017-05-11T22:23:35Z
dc.date.issued2011-08en
dc.date.submittedAugust 2011en
dc.date.updated2011-10-21T20:09:58Zen
dc.descriptiontexten
dc.description.abstractThis dissertation examines the application of various classical root finding methods to digital maximum power point tracking (DMPPT). An overview of root finding methods such as the Newton Raphson Method (NRM), Secant Method (SM), Bisection Method (BSM), Regula Falsi Method (RFM) and a proposed Modified Regula Falsi Method (MRFM) applied to photovoltaic (PV) applications is presented. These methods are compared among themselves. Some of their features are also compared with other commonly used maximum power point (MPP) tracking methods. Issues found when implementing these root finding methods based on continuous variables in a digital domain are explored. Some of these discussed issues include numerical stability, digital implementation of differential operators, and quantization error. Convergence speed is also explored. The analysis is used to provide practical insights into the design of a DMPPT based on classical root finding algorithms. A new DMPPT based on a MRFM is proposed and used as the basis for the discussion. It is shown that this proposed method is faster than the other discussed methods that ensure convergence to the MPP. The discussion is approached from a practical perspective and also includes theoretical analysis to support the observations. Extensive simulation and experimental results with hardware prototypes verify the analysis.en
dc.description.departmentElectrical and Computer Engineeringen
dc.format.mimetypeapplication/pdfen
dc.identifier.slug2152/ETD-UT-2011-08-4326en
dc.identifier.urihttp://hdl.handle.net/2152/ETD-UT-2011-08-4326en
dc.language.isoengen
dc.subjectMPPTen
dc.subjectSolar poweren
dc.subjectOptimizationen
dc.subjectDigital MPPTen
dc.subjectPartial shadingen
dc.subjectPhotovoltaicen
dc.subjectRoot finding algorithmen
dc.titleAnalysis of classical root-finding methods applied to digital maximum power point tracking for photovoltaic energy generationen
dc.type.genrethesisen

Files

Collections

University of Texas at Austin