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Tuning of the PI Controller Parameters of a PMSG Wind Turbine to Improve Control Performance under Various Wind Speeds
- Source :
- Energies, Volume 8, Issue 2, Pages 1406-1425, Energies(8): 2, Energies, Vol 8, Iss 2, Pp 1406-1425 (2015)
- Publication Year :
- 2015
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2015.
-
Abstract
- This paper presents a method to seek the PI controller parameters of a PMSG wind turbine to improve control performance. Since operating conditions vary with the wind speed, therefore the PI controller parameters should be determined as a function of the wind speed. Small-signal modeling of a PMSG WT is implemented to analyze the stability under various operating conditions and with eigenvalues obtained from the small-signal model of the PMSG WT, which are coordinated by adjusting the PI controller parameters. The parameters to be tuned are chosen by investigating participation factors of state variables, which simplifies the problem by reducing the number of parameters to be tuned. The process of adjusting these PI controller parameters is carried out using particle swarm optimization (PSO). To characterize the improvements in the control method due to the PSO method of tuning the PI controller parameters, the PMSG WT is modeled using the MATLAB/SimPowerSystems libraries with the obtained PI controller parameters.
- Subjects :
- State variable
Engineering
Control and Optimization
participation factor
permanent magnet synchronous generator wind turbine (PMSG WT)
PI controller parameters
small-signal modeling
Energy Engineering and Power Technology
PID controller
lcsh:Technology
Stability (probability)
Turbine
Wind speed
jel:Q40
Control theory
jel:Q
jel:Q43
jel:Q42
jel:Q41
jel:Q48
jel:Q47
Electrical and Electronic Engineering
MATLAB
Engineering (miscellaneous)
computer.programming_language
jel:Q49
lcsh:T
Renewable Energy, Sustainability and the Environment
business.industry
Process (computing)
Particle swarm optimization
jel:Q0
jel:Q4
business
computer
Energy (miscellaneous)
Subjects
Details
- Language :
- English
- ISSN :
- 19961073
- Database :
- OpenAIRE
- Journal :
- Energies
- Accession number :
- edsair.doi.dedup.....f5648e7f44e32f75dadb494ded70d607
- Full Text :
- https://doi.org/10.3390/en8021406