DocumentCode :
1574334
Title :
Robust LFC in deregulated environment: Fuzzy PID using HBMO
Author :
Abedinia, O. ; Naderi, Mohammad S. ; Ghasemi, A.
Author_Institution :
Ardabil Branch, Young Res. Club, Islamic Azad Univ., Ardabil, Iran
fYear :
2011
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, a Honey Bee Mating Optimization based Fuzzy (HBMOF) controller is proposed for solution of the Load Frequency Control (LFC) problem in a restructured power system. In the proposed method, for achieving the desired level of robust performance, exact tuning of the PID parameters is very important. Hence, to reduce the design effort and find a better fuzzy system control, PID parameters are designed automatically by HBMO. Using this algorithm leads to high speed to algorithm´s convergence and more flexible controller. The effectiveness of the proposed method is demonstrated on a deregulated power system with possible contracted scenario under large load demand and area disturbance in comparison with the PSO, GA fuzzy controllers through ITAE (Δp), ITAE (Δf) and FD performance indices.
Keywords :
electricity supply industry deregulation; frequency control; fuzzy control; load regulation; optimisation; power system control; three-term control; FD performance indices; GA fuzzy controller; HBMOF controller; ITAE; PSO; deregulated power system; fuzzy PID parameter; fuzzy system control; honey bee mating optimization based fuzzy controller; load demand; restructured power system; robust LFC problem; robust load frequency control problem; Contracts; Frequency control; Genetic algorithms; Optimization; Power system dynamics; Robustness; Deregulated Power System; Fuzzy Controller; HBMO; LFC; PID;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2011 10th International Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4244-8779-0
Type :
conf
DOI :
10.1109/EEEIC.2011.5874843
Filename :
5874843
Link To Document :
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