Wind power - FİGES · Wind poWer information kit 4 MATLAB Digest a| cademic edition Demo Videos Integrating Physical Systems and Controller Detect integration issues when ...
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Wind poWer information kit
Contents
Wind powerInformation Kit
■ WorkfLoWs for technicaL computing and modeL-Based design
harnessing one of the most abundant resources on earth requires the coordination of many disciplines. With mathWorks technical computing software, power engineers can:•Analyzeandpredictwindconditionstooptimizewindfarmsites•Monitorandprocessdatatoensurewindturbineavailability
harnessing one of the most abundant resources on earth requires the coordination of many disciplines. With mathWorks software for model-Based design, power engineers can:•Determinethepropervoltagecompensationtousewindfarmsintotheelectricgrid•Developnext-generationwindturbines
Inthisarticle,SimMechanicsisusedtoapplythetwomostcommonflex-iblebodyapproximationmethodstomodelingbeams:thelumped-parameterapproximationandthestatespace/frequencyresponsemethodusingfiniteelement analysis (fea) results. Both methods assume that beam deflection is small and in the linear regime.
■ Simulating Mechanical Systems with SimMechanics Thispapersystematicallypresentsthemathematicalandsoftwaredevelopmentsneeded for efficient simulation of mechanical systems in simulink.
■ Applied Data Analysis Using MATLAB: “Catching the Wind” LearnhowtouseMATLABfordataanalysisfromdataaccessthroughvisualizationand modeling. using measured wind data for wind farm siting, mathWorks engi-neers will demonstrate the use of matLaB and data analysis products for the entire data analysis and modeling process.
■ Developing Wind Power Systems Using MathWorks Tools
Learnhowdevelopingwindturbinesinasinglesimulationenvironmentcanoffersignificantimprovementsoveratraditionaldevelopmentprocess.MathWorksengineers will demonstrate how to model a complete wind turbine including mechanical, electrical and hydraulic systems using model-Based design. presented infourmodules,theseriescovers:
•Model-BasedDesignofaWindTurbine
•DeterminingMechanicalLoadsforWindTurbines
•DesigningPitchandYawActuatorsforWindTurbines
•DesigningControlSystemsforWindTurbines
■ Investigating Reactive Power Management of Mixed-Technology Wind Farms Using Modeling and Simulation
mathWorks engineers will demonstrate how modeling and simulation allows effectiveinvestigationofreactivepowermanagementwithinthecontextofamixed-technology wind farm, with consideration of squirrel-cage and dfig wind turbines. Thedemonstrationwillconsidermodelabstractiontechniquestoimprovesimulationspeed,includingtheuseofaverage-valuepower-electronicconvertersandaggre-gated wind turbine representations.
Detectintegrationissueswhendevelopingawindturbine.Modelsofmechanical,hydraulic, electrical, and control systems are gradually integrated into a system-levelmodelofawindturbine,enablingengineerstotestsystemsinisolationandtotestoverallsystemperformance.
■ Analyzing and Documenting Results
automatically run tests on a wind turbine model and generate a report document-ing simulation results. simulink report generator™isusedtoruntests,evaluateperformance, and capture screenshots of the model and simulation results into a document.
■ Optimizing System Performance
Useoptimizationalgorithmstoautomaticallytunetheperformanceofahydro mechanical pitch control system in a wind turbine until it meets system requirements.
■ Real-Time Simulation of a Hydromechanical Pitch Actuation System
■ Real-Time Testing Blade Pitch Control Systems Using Hardware-in-the-Loop (HIL)
use hiL testing instead of hardware prototypes to test control algorithms. a simulink model of a wind turbine built with mathWorks physical modeling tools isconvertedtoCcodeanddownloadedontoBachmannelectronicM1hardwarecontroller.
matLaB®isahigh-levellanguageandinteractiveenvironmentthatenablesyoutoperformcomputationallyintensivetasksfasterthanwithtraditionalprogramminglanguages such as c, c++, and fortran.
■ Statistics Toolbox
Perform statistical analysis, modeling, and algorithm development
StatisticsToolbox™providesacomprehensivesetoftoolstoassessandunderstanddata.StatisticsToolboxincludesfunctionsandinteractivetoolsformodelingdata,analyzinghistoricaltrends,simulatingsystems,developingstatisticalalgorithms,and learning and teaching statistics.
Fit curves and surfaces to data using regression, interpolation, and smoothing
CurveFittingToolbox™providesgraphicaluserinterfaces(GUIs)andcommand-linefunctionsforfittingcurvesandsurfacestodata.Thetoolboxletsyouperformexploratorydataanalysis,preprocessandpost-processdata,comparecandidatemodels,andremoveoutliers.Youcanconductregressionanalysisusingthelibraryoflinearandnonlinearmodelsprovidedorspecifyyourowncustomequations.Thetoolboxalsosupportsnonparametricmodelingtechniques,suchasinterpola-tion and smoothing.
■ MATLAB Compiler
Build standalone executables and software components from MATLAB code
matLaB compiler™letsyoushareyourMATLABapplicationasanexecutableorasharedlibrary.ExecutablesandlibrariescreatedwiththeMATLABCompilerproduct use a runtime engine called the matLaB compiler runtime (mcr). the MCRisprovidedwithMATLABCompilerfordistributionwithyourapplicationandcan be deployed royalty-free.
simscape™extendsSimulinkwithtoolsformodelingsystemsspanningmechanical,electrical,hydraulic,andotherphysicaldomainsasphysicalnetworks.Itprovidesfundamental building blocks from these domains to let you create models of customcomponents.TheMATLABbasedSimscapelanguageenablestext-basedauthoring of physical modeling components, domains, and libraries.
simmechanics™ extendsSimscapewithtoolsformodelingthree-dimensionalmechanical systems within the simulink environment.Insteadofderivingandpro-gramming equations, you can use this multibody simulation tool to build a model composed of bodies, joints, constraints, and force elements that reflects the struc-tureofthesystem.Anautomaticallygenerated3Danimationletsyouvisualizethesystem dynamics. You can import models complete with mass, inertia, constraint, and3DgeometryfromseveralCADsystems.
■ SimPowerSystems
Model and simulate electrical power systems
simpowersystems™extendsSimulinkwithtoolsformodelingandsimulatingthegeneration, transmission, distribution, and consumption of electrical power. it pro-videsmodelsofmanycomponentsusedinthesesystems,includingthree-phasemachines,electricdrives,andlibrariesofapplication-specificmodelssuchasFlexibleACTransmissionSystems(FACTS)andwind-powergeneration.Harmonicanalysis, calculation of total harmonic distortion (thd), load flow, and other key power system analyses are automated. simpowersystems models can be dis-cretizedtospeedupsimulations.
engineers and scientists worldwide rely on mathWorks software to perform the challenginganalysis,simulation,andproductdevelopmenttasksnecessarytoaddresstheworld’senergyneeds.YoucanuseMATLABandSimulinktoevaluateenergyresources,developsystemsforpowergenerationanddistribution,modelenergymarkets,andcreateproductsthatconsumelessenergyandareenvironmen-tally friendly.