DocumentCode :
164242
Title :
Superconducting Magnetic Energy Storage unit for increasing stability of a wind power generation system
Author :
Salih, E. ; Lachowicz, S. ; Bass, O. ; Habibi, Daryoush
Author_Institution :
Sch. of Eng., Edith Cowan Univ., Perth, WA, Australia
fYear :
2014
fDate :
Sept. 28 2014-Oct. 1 2014
Firstpage :
1
Lastpage :
6
Abstract :
A superconducting Magnetic Energy Storage (SMES) system includes a high inducting coil that can act as a constant source of direct current. A high temperature SMES (HTS) unit connected to a power system is able to absorb and store both active and reactive power from this system and to release these powers into this system in the demand periods. These injected powers can be controlled by adjusting the power conversion system of SMES by changing both the duty cycle of the dc-dc chopper switches and its operation modes. In this paper, an efficient design based on an SMES unit controlled by the combined the artificial neural network (ANN) and adaptive control method is presented to improve transient stability by regulating the dc link voltage and to damp and reduce the voltage and frequency fluctuations that are always associated with wind power generator. The authors propose using an SMES as an interface device between the wind power farm and the power grid connected through the DC Link capacitor to rapidly stabilize the voltage and frequency fluctuations in the power system. The system behavior is tested with three different faults/events for both voltage and frequency fluctuations of wind power supply with and without applying the SMES unit. The results show that both voltage and frequency stabilities are significantly increased when the SMES unit is applied in these three events.
Keywords :
DC-DC power convertors; adaptive control; choppers (circuits); superconducting magnet energy storage; wind power; adaptive control method; artificial neural network; dc dc chopper switches; dc link voltage; high inducting coil; power conversion system; power grid; reactive power; superconducting magnetic energy storage unit; transient stability; wind power farm; wind power generation system; Artificial neural networks; Fluctuations; Power system stability; Superconducting coils; Voltage control; Wind power generation; Wind speed; Power Stability; Superconducting Magnetic Energy Storage (SMES); Transient; Wind power generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Conference (AUPEC), 2014 Australasian Universities
Conference_Location :
Perth, WA
Type :
conf
DOI :
10.1109/AUPEC.2014.6966498
Filename :
6966498
Link To Document :
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