DocumentCode :
2168774
Title :
An efficient solution to load-frequency control using fuzzy-based predictive scheme in a two-area interconnected power system
Author :
Mazinan, A.H. ; Kazemi, M.F.
Author_Institution :
South Tehran Branch, Electr. Eng. Dept., Islamic Azad Univ. (IAU), Tehran, Iran
Volume :
1
fYear :
2010
fDate :
26-28 Feb. 2010
Firstpage :
289
Lastpage :
293
Abstract :
This work deals with a novel load-frequency control (LFC) using the fuzzy-based predictive scheme in a two-area interconnected power system. At first, the power system needs to be modeled and subsequently the Takagi-Sugeno-Kang (TSK) fuzzy-based approach using the linear generalized predictive control (LGPC) scheme is realized to implement on the system presented. In order to demonstrate the effectiveness of the proposed strategy, simulations are carried out and the results are compared with those obtained using the nonlinear GPC (NLGPC) as a benchmark approach. The results verify the validity of the proposed fuzzy-based predictive control scheme in comparison with the previous one.
Keywords :
frequency control; fuzzy control; linear systems; load regulation; power system control; power system interconnection; predictive control; Takagi-Sugeno-Kang fuzzy based approach; fuzzy based predictive scheme; linear generalized predictive control; load frequency control; two area interconnected power system; Control systems; Frequency; Power system control; Power system interconnection; Power system modeling; Power system simulation; Power system stability; Power systems; Predictive control; Predictive models; Multi-area interconnected power system; Takagi-Sugeno-Kang fuzzy-based approach; linear generalized predictive control scheme; loadfrequency control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
Type :
conf
DOI :
10.1109/ICCAE.2010.5451950
Filename :
5451950
Link To Document :
بازگشت