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University of Tennessee at Chattanooga

Real-time simulation of a doubly-fed induction generator based wind power system on eMEGASim® real-time digital simulator

Abstract

dc:description.abstract

The growing demand for wind power integration into the generation mix prompts the need to subject these systems to stringent performance requirements. This study sought to identify the required tools and procedures needed to perform real-time simulation studies of Doubly-Fed Induction Generator (DFIG) based wind generation systems as basis for performing more practical tests of reliability and performance for both grid-connected and islanded wind generation systems. The author focused on developing a platform for win d generation studies and in addition, the author tested the performance of two DFIG models on the platform real-time simulation model; an average SimpowerSystems® DFIG wind turbine, and a detailed DFIG based wind turbine using ARTEMiS® components. The platform model implemented here consists of a high voltage transmission system with four integrated wind farm models consisting in total of 65 DFIG based wind turbines and it was developed and tested on OPAL-RT’s eMEGASim® Real-Time Digital Simulator.

Degree

thesis:*
Grantor dc:publisher
University of Tennessee at Chattanooga

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Boakye-Boateng, Nasir Abdulai
Contributors dc:contributor
  • Ofoli, Abdul R.
  • Eltom, Ahmed H.; Sisworahardjo, Nurhidajat
  • College of Engineering and Computer Science

Subjects

dc:subject × 1

Rights

dc:rights
Language dc:language
English, eng

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholar.utc.edu/theses/201
OAI identifier oai:identifier
oai:scholar.utc.edu:theses-1341

Chain of custody

source
Harvested from
University of Tennessee - Chattanooga
Base URL
scholar.utc.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Boakye-Boateng, Nasir Abdulai. Real-time simulation of a doubly-fed induction generator based wind power system on eMEGASim® real-time digital simulator. University of Tennessee at Chattanooga, https://scholar.utc.edu/theses/201