Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/54186
Title: A fuzzy set theory based control of superconductive magnetic energy storage unit to improve power system dynamic performance
Authors: Rabbani, M.G.
Devotta, J.B.X. 
Elangovan, S. 
Keywords: Computer simulation
Fuzzy controller
SMES
Issue Date: Feb-1997
Source: Rabbani, M.G.,Devotta, J.B.X.,Elangovan, S. (1997-02). A fuzzy set theory based control of superconductive magnetic energy storage unit to improve power system dynamic performance. Electric Power Systems Research 40 (2) : 107-114. ScholarBank@NUS Repository.
Abstract: At present fuzzy logic control is receiving increasing emphasis in process control applications. The paper describes the application of fuzzy logic control in a power system that uses a 12-pulse bridge converter associated with superconductive magnetic energy storage (SMES) unit. The fuzzy control is used in both the frequency and voltage control loops, replacing the conventional control method. The control algorithms have been developed in detail and simulation results are presented. These results clearly indicate the superior performance of fuzzy control during the dynamic period of energy transfer between the power system and SMES unit. © 1997 Elsevier Science S.A.
Source Title: Electric Power Systems Research
URI: http://scholarbank.nus.edu.sg/handle/10635/54186
ISSN: 03787796
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

37
checked on Dec 8, 2017

Google ScholarTM

Check


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