Dynamic modeling and control of DFIG-based wind turbines ynder unbalanced network conditions
Xu, L. and Wang, Y. (2007) Dynamic modeling and control of DFIG-based wind turbines ynder unbalanced network conditions. IEEE Transactions on Power Systems, 22 (1). pp. 314-323. ISSN 0885-8950 (http://dx.doi.org/10.1109/TPWRS.2006.889113)
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This paper presents an analysis and control design of a doubly-fed induction generator (DFIG)-based wind generation system operating under unbalanced network conditions. A DFIG system model in the positive and negative synchronous reference frames is presented. Variations of stator active and reactive powers and generator torque are fully defined in the presence of negative sequence voltage and current. Alternative DFIG control targets during network unbalance, such as reducing stator current unbalance, torque, and power pulsations minimization, are identified. A rotor current control strategy based on positive and negative (dq) reference frames is used to provide precise control of the rotor positive and negative sequence currents. Simulation results using EMTDC/PSCAD are presented for a 2-MW DFIG wind generation system. It shows that conventional vector control of DFIG without considering network unbalance results in excessive oscillations on the stator active/reactive power, electromagnetic torque, and stator/rotor currents even with a small stator voltage unbalance. In contrast, with the proposed control strategy, enhanced system control and operation such as minimizing oscillations in either active power, or electromagnetic torque, or stator or rotor currents can be achieved
ORCID iDs
Xu, L. ORCID: https://orcid.org/0000-0001-5633-7866 and Wang, Y.;-
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Item type: Article ID code: 5179 Dates: DateEventFebruary 2007PublishedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Strathprints Administrator Date deposited: 17 Jan 2008 Last modified: 11 Oct 2024 00:18 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/5179