Title :
A robust PI based LFC design using BF-NM algorithm
Author :
Tavakoli, M.R. ; Khodabakhshian, A. ; Hooshmand, R.A.
Author_Institution :
Electr. Eng. Dept., Univ. of Isfahan, Isfahan, Iran
fDate :
April 29 2012-May 2 2012
Abstract :
This paper presents a novel optimization approach using hybrid algorithm, named BF-NM, to determine the optimal values for the proportional-integral (PI) controller parameters in automatic generation control (AGC) of a single-machine-infinite-bus system. A local search algorithm called Nelder-Mead is combined with BF technique to improve optimization procedure for fully exploiting the promising solution region. In the design procedure the nonlinear constraints such as Generation Rate Constraint (GRC) will be also taken into account. Comparative results of the proposed control strategy and other intelligent methods, CRAZYPSO and BF, reveal the effectiveness of this new technique in terms of reducing settling time, overshoot and oscillations.
Keywords :
PI control; control system synthesis; nonlinear control systems; optimisation; power generation control; robust control; search problems; AGC; BF-NM algorithm; CRAZYPSO; GRC; Nelder-Mead; automatic generation control; design procedure; generation rate constraint; hybrid algorithm; local search algorithm; nonlinear constraints; optimization approach; oscillations reduction; overshoot reduction; power system; proportional-integral controller parameters; robust PI based LFC design; settling time reduction; single-machine-infinite-bus system; Algorithm design and analysis; Automatic generation control; Microorganisms; Optimization; Power system dynamics; Power system stability; Automatic generation control; Bacterial Foraging technique; Nelder-Mead; optimization; power systems;
Conference_Titel :
Electrical & Computer Engineering (CCECE), 2012 25th IEEE Canadian Conference on
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4673-1431-2
Electronic_ISBN :
0840-7789
DOI :
10.1109/CCECE.2012.6334944