Power Frequency Oscillation Suppression Using Two-Stage Optimized Fuzzy Logic Controller for Multigeneration System
Joint Authors
Bhateshvar, Y. K.
Mathur, H. D.
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-04-12
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
This paper attempts to develop a linearized model of automatic generation control (AGC) for an interconnected two-area reheat type thermal power system in deregulated environment.
A comparison between genetic algorithm optimized PID controller (GA-PID), particle swarm optimized PID controller (PSO-PID), and proposed two-stage based PSO optimized fuzzy logic controller (TSO-FLC) is presented.
The proposed fuzzy based controller is optimized at two stages: one is rule base optimization and other is scaling factor and gain factor optimization.
This shows the best dynamic response following a step load change with different cases of bilateral contracts in deregulated environment.
In addition, performance of proposed TSO-FLC is also examined for ± 30 % changes in system parameters with different type of contractual demands between control areas and compared with GA-PID and PSO-PID.
MATLAB/Simulink® is used for all simulations.
American Psychological Association (APA)
Bhateshvar, Y. K.& Mathur, H. D.. 2016. Power Frequency Oscillation Suppression Using Two-Stage Optimized Fuzzy Logic Controller for Multigeneration System. Advances in Fuzzy Systems،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1095089
Modern Language Association (MLA)
Bhateshvar, Y. K.& Mathur, H. D.. Power Frequency Oscillation Suppression Using Two-Stage Optimized Fuzzy Logic Controller for Multigeneration System. Advances in Fuzzy Systems No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1095089
American Medical Association (AMA)
Bhateshvar, Y. K.& Mathur, H. D.. Power Frequency Oscillation Suppression Using Two-Stage Optimized Fuzzy Logic Controller for Multigeneration System. Advances in Fuzzy Systems. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1095089
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1095089