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Small-Signal Performance of Type 4 Wind Turbine Generator-Based Clusters in Power Systems
- Source :
- Energies, Vol 11, Iss 6, p 1486 (2018), Energies, Volume 11, Issue 6
- Publication Year :
- 2018
- Publisher :
- MDPI AG, 2018.
-
Abstract
- The impact of Type 4 wind turbine generator (WTG)-based 10 million megawatt clusters (TMMC) on small-signal dynamics of power systems was investigated using the second-generation generic models (GM) of Western Electricity Coordinating Council (WECC). A WTG participation index (WTG PI) was defined to investigate the impact of Type 4 WTGs on the traditional interarea electromechanical modes. To identify the new electromechanical modes dominated by Type 4 WTGs, an identification factor (IF) was also defined using participation factors. Given the increasing penetration of Type 4 WTGs replacing synchronous generators, the changed law of damping and frequencies of the traditional interarea modes was also investigated using the WTG PI. One new type of electromechanical mode dominated by Type 4 WTGs was identified by using the defined IF. These new modes can be divided into two categories: strong-interaction modes and weak-interaction modes, depending on the number of participating WTGs. The strong-interaction modes dominated by Type 4 WTGs can result in widely spread power oscillations in power systems. The results of small-signal analysis were validated by time domain simulation and mode detection.
- Subjects :
- Damping ratio
Control and Optimization
Computer science
020209 energy
damping ratio
Energy Engineering and Power Technology
02 engineering and technology
lcsh:Technology
Signal
Electric power system
Steam turbine
Control theory
0202 electrical engineering, electronic engineering, information engineering
Time domain
Electrical and Electronic Engineering
Engineering (miscellaneous)
small-signal stability
lcsh:T
Renewable Energy, Sustainability and the Environment
business.industry
Mode (statistics)
wind turbine generators (WTGs)
Power (physics)
Electricity
generic model (GM)
business
Energy (miscellaneous)
Subjects
Details
- ISSN :
- 19961073
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Energies
- Accession number :
- edsair.doi.dedup.....c79b8a197ad6d50acede9eda2ce18857
- Full Text :
- https://doi.org/10.3390/en11061486