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Adaptive Fuzzy Gain of Power System Stabilizer to Improve the Global Stability
- Source :
- Bulletin of Electrical Engineering and Informatics. 5:421-429
- Publication Year :
- 2016
- Publisher :
- Institute of Advanced Engineering and Science, 2016.
-
Abstract
- The lead-lag power system stabilizer has several parameters to be optimized.In fact, the number of these latter increases with the number of generators constituting the multi-machine system.In this work, we propose anew approach of an adaptive and robust PSS; it achieves encouraging results by adjusting the gain using fuzzy logic and in the same time we use the same PSSs for each machine. In the first place, we could check that the gain is among the most critical parameters of the lead lag PSS. The parameters are globally optimized by the genetic algorithm, after that an expertise on the speed and the gain variations allow the value prediction according to the velocity deviation. To validate our results, a robustness test was made on a multimachine system IEEE (3 machines 9 bus), for different loads and the results showed good performance and robustness of the presented PSS.
- Subjects :
- Engineering
Control and Optimization
Computer Networks and Communications
business.industry
020209 energy
Control engineering
02 engineering and technology
Fuzzy logic
Electric power system
Hardware and Architecture
Control and Systems Engineering
Robustness (computer science)
Control theory
0202 electrical engineering, electronic engineering, information engineering
Computer Science (miscellaneous)
Electrical and Electronic Engineering
Lead–lag compensator
business
Instrumentation
Information Systems
Subjects
Details
- ISSN :
- 23029285 and 20893191
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- Bulletin of Electrical Engineering and Informatics
- Accession number :
- edsair.doi...........8b2673f9a57bc97a2cda26749b87469f
- Full Text :
- https://doi.org/10.11591/eei.v5i4.576