UPV-EHU ADDI
  • Back
    • English
    • español
    • Basque
  • Login
  • English 
    • English
    • español
    • Basque
  • FAQ
View Item 
  •   ADDI
  • INVESTIGACIÓN
  • Tesis de Master
  • Máster Erasmus Mundus en Comunidades y Ciudades Inteligentes (SMACCs)
  • View Item
  •   ADDI
  • INVESTIGACIÓN
  • Tesis de Master
  • Máster Erasmus Mundus en Comunidades y Ciudades Inteligentes (SMACCs)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Dynamic and Transient Analysis of LVRT Augmented Grid Tied DFIG based Wind Turbine

Thumbnail
View/Open
TFM (3.810Mb)
Date
2022-07-11
Author
Hossain, Md Sajid
Metadata
Show full item record
  Estadisticas en RECOLECTA
(LA Referencia)

URI
http://hdl.handle.net/10810/57970
Abstract
This thesis aims to present Low Voltage Ride Through (LVRT) augmentation of the gridtied Doubly Fed Induction Generator (DFIG) based wind turbine. Voltage stability is a critical grid code criterion that must be strictly adhered. A substantial voltage drop happens during a fault or network disruption situation, which must be restored as quickly as possible. According to modern grid code standards, 90 percent of the voltage must be restored to pre-fault levels in 1500 milliseconds. As a result, both dynamic and transient assessments are performed to evaluate the intended power system's LVRT capabilities. In this study, fault analysis including the most severe 3LG fault under transient conditions has been examined in order to evaluate the tuned PI controller scheme and resilience of the developed power system model. PSCAD/EMTDC® v4.5 tool has been used extensively to develop the DFIG wind turbine aerodynamic model, DFIG control scheme and power system model analysis. Simulation results show that tuned Proportional Plus Integral (PI) controllers effectively augment the LVRT functionality by injecting sufficient reactive power into the grid during fault or network disturbance scenarios.
Collections
  • Máster Erasmus Mundus en Comunidades y Ciudades Inteligentes (SMACCs)

DSpace 6.4 software copyright © -2023  DuraSpace
OpenAIRE
EHU Bilbioteka
 

 

Browse

All of ADDICommunities & CollectionsBy Issue DateAuthorsTitlesDepartamentos (cas.)Departamentos (eus.)SubjectsThis CollectionBy Issue DateAuthorsTitlesDepartamentos (cas.)Departamentos (eus.)Subjects

My Account

Login

Statistics

View Usage Statistics

DSpace 6.4 software copyright © -2023  DuraSpace
OpenAIRE
EHU Bilbioteka