DocumentCode :
2692140
Title :
Robust tuning of modern power system stabilizers using Bacterial Foraging Algorithm
Author :
Sumanbabu, B. ; Mishra, S. ; Panigrahi, B.K. ; Venayagamoorthy, G.K.
Author_Institution :
Indian Inst. of Technol., New Delhi
fYear :
2007
fDate :
25-28 Sept. 2007
Firstpage :
2317
Lastpage :
2324
Abstract :
IEEE Std 421.5, revised by the IEEE excitation system subcommittee introduced a new type of power system stabilizer model, the multiband power system stabilizers (IEEE PSS4B). Although it requires two input signals, like the widely used IEEE PSS2B, the underlying principle of the new IEEE PSS4B makes it sharply different. This paper presents a method based on Bacterial Foraging Algorithm (BFA) to simultaneously tune these modern power system stabilizers (PSSs) in multimachine power system. Simulation results of multi-machine power system validate the efficiency of this approach. The proposed method is effective for the tuning of multi-controllers in large power systems.
Keywords :
power system stability; robust control; IEEE PSS2B; IEEE PSS4B; bacterial foraging algorithm; modern power system stabilizers; multimachine power system; robust tuning; Frequency; Microorganisms; Power system dynamics; Power system interconnection; Power system modeling; Power system simulation; Power system stability; Power systems; Robustness; Tuning; Bacterial Foraging Algorithm (BFA); IEEE PSS2B; IEEE PSS4B; IEEE Std 421.5; inert-area oscillations; power system stability; power system stabilizer (PSS);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1339-3
Electronic_ISBN :
978-1-4244-1340-9
Type :
conf
DOI :
10.1109/CEC.2007.4424760
Filename :
4424760
Link To Document :
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