Tuning of the PI Controller Parameters of a PMSG Wind Turbine to Improve Control Performance under Various Wind Speeds

Yun-Su Kim, Il-Yop Chung and Seung-Il Moon
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Yun-Su Kim: School of Electrical and Computer Engineering, Seoul National University, Seoul 151-744, Korea
Il-Yop Chung: School of Electrical Engineering, Kookmin University, Seoul 136-702, Korea
Seung-Il Moon: School of Electrical and Computer Engineering, Seoul National University, Seoul 151-744, Korea

Energies, 2015, vol. 8, issue 2, 1-20

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.

Keywords: participation factor; permanent magnet synchronous generator wind turbine (PMSG WT); PI controller parameters; small-signal modeling (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)

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