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Impacts of Fault Ride Through Behavior of Wind Farms on a Low Inertia System
- Source :
- IEEE Transactions on Power Systems. 37:3190-3198
- Publication Year :
- 2022
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2022.
-
Abstract
- In view of the increasing levels of renewable generation across the world, the operational dynamics of power systems are changing. One of the dimensions of this transformational change is the nature of fault ride through behavior of renewable technologies such as wind and the associated differences compared to conventional generation. This paper investigates the impacts of fault ride through behavior of wind farms on the system stability in detail, using full dynamic model of a low inertia island power system. Recorded PMU measurements are used to establish the variations in wind farm behavior during and after a fault. A detailed sensitivity analysis on the active and reactive power injection behavior of wind farms is carried out to establish the component of fault ride through behavior that is most critical to system stability, using the full model of the Ireland and Northern Ireland Power system (Irish power system). Detailed investigation of the mechanics of a fault in a low inertia, wind generation dominated system is carried out to reveal potential technical scarcities. Finally, mitigations for identified scarcities arising from non-ideal fault ride through behavior of wind farms are presented in terms of Transmission System Operator led novel system services.
- Subjects :
- Wind power
business.industry
020209 energy
media_common.quotation_subject
Energy Engineering and Power Technology
02 engineering and technology
AC power
Inertia
Fault (power engineering)
GeneralLiterature_MISCELLANEOUS
Electric power system
Component (UML)
0202 electrical engineering, electronic engineering, information engineering
Environmental science
Renewable technologies
Sensitivity (control systems)
Electrical and Electronic Engineering
business
Marine engineering
media_common
Subjects
Details
- ISSN :
- 15580679 and 08858950
- Volume :
- 37
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Power Systems
- Accession number :
- edsair.doi...........128a389fb200c598224543d7936004e1
- Full Text :
- https://doi.org/10.1109/tpwrs.2020.3003470