Title of article :
Mathematical modeling of PMSG-based wind power plants for harmonic resonance studies and analytical assessment of wind turbine converters’ controls on the harmonic resonance response of the plants
Author/Authors :
Beiki ، A. Department of Electrical and Computer Engineering - University of Kashan , Rahimi ، M. Department of Electrical and Computer Engineering - University of Kashan
From page :
1106
To page :
1126
Abstract :
In this paper harmonic resonance analysis of the grid comprising wind power plants (WPPs) with permanent magnet synchronous generators (PMSGs) is presented. Usually, Norton equivalent circuit is used as the wind turbine (WT) model for harmonic resonance studies, in which, WTs are simply modeled as ideal current and voltage sources and impacts of converters controls on the WTs output impedances are neglected. This paper deals with the harmonic resonance analysis of study WPP system taking the impacts of converters controls, and current and voltage measurement filters into account. In this way, harmonic impedance models of the WTs are presented for simple and detailed cases, and then WT harmonic impedance is extracted for the mentioned cases. Next, results of frequency scan and harmonic mode resonance analyses for different cases are given and compared, and then effects of the current and voltage measurements filters and WT converter control on harmonic resonance analysis of the study WPP system are presented. It is shown that increasing the bandwidth of the grid-side converter current control loop can not shift the resonant frequencies, but enhances the system damping, and consequently reduces the driving point impedances in the resonant frequencies.
Keywords :
Wind power plant , harmonic resonance , harmonic impedance model , frequency scan , harmonic resonance mode analysis
Journal title :
Scientia Iranica(Transactions D: Computer Science and Electrical Engineering)
Journal title :
Scientia Iranica(Transactions D: Computer Science and Electrical Engineering)
Record number :
2746856
Link To Document :
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