Please use this identifier to cite or link to this item:
|Title:||ANN based controller for SMES units in power systems||Authors:||Rabbani, M.G.
|Issue Date:||Sep-1999||Citation:||Rabbani, M.G.,Devotta, J.B.X.,Elangovan, S. (1999-09). ANN based controller for SMES units in power systems. International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications 7 (3) : 131-136. ScholarBank@NUS Repository.||Abstract:||A neural network based controller is designed for the Superconducting Magnetic Energy Storage Unit (SMES) to improve the transient stability of synchronous generators. The power modulation capability of the SMES is used to improve the dynamic performance of the system. The neural network is trained by learning linguistic rules. Normalized values of generator speed deviation and acceleration are used to train the network. The gain of the ANN controller is adapted on-line depending on the operating conditions. This allows the SMES unit to provide appropriate compensation required by the system following a disturbance. The control system is tested both for single and multi-machine systems. The simulation results show that the substantial improvement in stability is achieved when equipped with this type of control.||Source Title:||International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications||URI:||http://scholarbank.nus.edu.sg/handle/10635/61844||ISSN:||09691170|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on May 18, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.