DocumentCode :
240145
Title :
Fuzzy-based load frequency controller for interconnected power system with wind power integration
Author :
Hui Zhou ; Ya Fu ; Rong Cong
Author_Institution :
Sch. of Electr. Eng., Beijing Jiaotong Univ., Beijing, China
fYear :
2014
fDate :
4-7 May 2014
Firstpage :
1
Lastpage :
6
Abstract :
Due to the fluctuation characteristics of wind power, Integration of large-scale wind power affects the frequency stability of power system, so it´s necessary to design a new type of load frequency controller to adapt to the fluctuation of wind power injected. Based on analyzing the output characteristic of wind farm which is varying with the wind speed and the principle of load frequency controller, fuzzy control is introduced. Based on Matlab/Simulink, the model of a two area interconnected power system with large scale of wind power integrated is built; three situations are studied corresponding to the primary frequency regulator without controller, the secondary frequency regulator with traditional PI controller and the secondary frequency regulator with fuzzy-based PI controller respectively. The results show that fuzzy-based controller would improve the performances of frequency control for the power system greatly.
Keywords :
PI control; frequency control; fuzzy control; power system interconnection; power system stability; wind power plants; frequency regulator; fuzzy-based PI controller; fuzzy-based load frequency controller; interconnected power system; power system frequency stability; primary frequency regulator; two area interconnected power system; wind farm output characteristic; wind power fluctuation characteristics; wind power integration; Frequency control; Load modeling; Power system stability; Regulators; Wind power generation; Wind speed; Fuzzy control; Integration of wind power; frequency stability; load frequency controller; simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2014 IEEE 27th Canadian Conference on
Conference_Location :
Toronto, ON
ISSN :
0840-7789
Print_ISBN :
978-1-4799-3099-9
Type :
conf
DOI :
10.1109/CCECE.2014.6901046
Filename :
6901046
Link To Document :
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