DocumentCode :
3219540
Title :
On-line synchronous machine parameter extraction from small signal-injection techniques
Author :
Huang, Jing
Author_Institution :
Missouri Univ. of Sci. & Technol., Rolla, MO, USA
fYear :
2009
fDate :
15-18 March 2009
Firstpage :
1
Lastpage :
1
Abstract :
This paper proposes using a novel line-to-line voltage perturbation as a technique for on-line measurement of synchronous machine parameters. The perturbation is created by a chopper circuit connected between two phases of the machine. Using this method, it is possible to obtain the full set of four complex small signal impedances of the synchronous machine d-q model over a wide frequency range. Typically, two chopper switching frequencies are needed to obtain one data point. However, it is shown herein that, due to the symmetry of the machine equations, only one chopper switching frequency is needed to obtain the information. A 3.7-kW machine system is simulated and then constructed for validation of the impedance measurement technique. A genetic algorithm is then used to obtain IEEE standard model parameters from the d-q impedances. The resulting parameters are shown to be similar to those obtained by a series of tests involving synchronous reactance measurements and a stand-still frequency response.
Keywords :
electric impedance measurement; electric reactance measurement; frequency response; genetic algorithms; machine testing; synchronous machines; IEEE standard model parameters; chopper circuit; chopper switching frequency; d-q model; genetic algorithm; impedance measurement technique; on-line measurement; on-line synchronous machine parameter extraction; power 3.7 kW; small signal-injection techniques; stand-still frequency response; synchronous reactance measurements; Choppers; Circuits; Equations; Genetic algorithms; Impedance; Measurement techniques; Parameter extraction; Switching frequency; Synchronous machines; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Systems Conference and Exposition, 2009. PSCE '09. IEEE/PES
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-3810-5
Electronic_ISBN :
978-1-4244-3811-2
Type :
conf
DOI :
10.1109/PSCE.2009.4840249
Filename :
4840249
Link To Document :
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