Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/12740
Title: Power system stabiliser using energy storage
Authors: Tsang, MW
Sutanto, D
Keywords: Battery storage plants
Damping
Electric current control
Fuzzy control
Neurocontrollers
Oscillations
Power system control
Power system stability
Issue Date: 2000
Publisher: IEEE
Source: IEEE Power Engineering Society Winter Meeting, 2000, 11-14 November 2000, v. 2, p. 1354-1359 How to cite?
Abstract: A fuzzy logic controller (FLC) and an artificial neural network (ANN) controller are designed for a battery energy storage system (BESS) to improve the stability of power systems. Both single-machine-to-infinite-bus and interconnected multi-machine power systems are considered in this study. A detailed model of BESS is used for accurate dynamic assessment. The model takes into account the switching actions of the converter as well as the battery characteristics. Another novel aspect of this paper is the use of hysteresis technique to control directly the BESS output current. This reduces the complexity of the control system while at the same time provides a tight control of the BESS output. Test results under different disturbances and operating conditions show the proposed BESS is effective in damping out power system oscillations
URI: http://hdl.handle.net/10397/12740
ISBN: 0-7803-5935-6
DOI: 10.1109/PESW.2000.850156
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

9
Last Week
0
Last month
Citations as of Feb 26, 2017

Page view(s)

26
Last Week
0
Last month
Checked on Aug 20, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.