Wind generator stability enhancement by using an adaptive artificial neural network-controlled superconducting magnetic energy storage
dc.contributor.author | Hasanien, H. | |
dc.contributor.author | Ali, S. | |
dc.contributor.author | Muyeen, S.M. | |
dc.date.accessioned | 2017-01-30T11:01:06Z | |
dc.date.available | 2017-01-30T11:01:06Z | |
dc.date.created | 2016-10-06T19:30:24Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Hasanien, H. and Ali, S. and Muyeen, S.M. 2012. Wind generator stability enhancement by using an adaptive artificial neural network-controlled superconducting magnetic energy storage, in Proceedings of the 15th International Conference on Electrical Machines and Systems (ICEMS), Oct 21-24 2012, Sapporo, Japan: IEEE. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/7614 | |
dc.description.abstract |
This paper presents a novel adaptive artificial neural network (ANN)-controlled superconducting magnetic energy storage (SMES) to enhance the transient stability of a grid-connected wind generator system. The control strategy of the SMES unit is developed based on cascaded control scheme of a voltage source converter and a two-quadrant DC-DC chopper using insulated gate bipolar transistors (IGBTs). The proposed controller is used to control the duty cycle of the DC-DC chopper. Detailed modeling and control strategies of the system are presented. The effectiveness of the proposed adaptive ANN-controlled SMES is then compared with that of a conventional proportional-integral (PI)-controlled SMES. The validity of the proposed system is verified with the simulation results which are performed using the standard dynamic power system simulator PSCAD/EMTDC. | |
dc.title | Wind generator stability enhancement by using an adaptive artificial neural network-controlled superconducting magnetic energy storage | |
dc.type | Conference Paper | |
dcterms.source.title | ICEMS 2012 - Proceedings: 15th International Conference on Electrical Machines and Systems | |
dcterms.source.series | ICEMS 2012 - Proceedings: 15th International Conference on Electrical Machines and Systems | |
dcterms.source.isbn | 9784886860774 | |
curtin.note |
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curtin.department | Department of Electrical and Computer Engineering | |
curtin.accessStatus | Open access |