NDLI: Robust tuning of modern power system stabilizers using Bacterial Foraging Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Sumanbabu, B. Mishra, S. Panigrahi, B.K. Venayagamoorthy, G.K.
Copyright Year	2007
Description	Author affiliation: Indian Inst. of Technol., New Delhi (Sumanbabu, B.; Mishra, S.; Panigrahi, B.K.)
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.
Starting Page	2317
Ending Page	2324
File Size	272117
Page Count	8
File Format	PDF
ISBN	9781424413393
DOI	10.1109/CEC.2007.4424760
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-25
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Power systems Microorganisms Power system stability Power system modeling Power system simulation Power system interconnection Tuning Frequency Power system dynamics power system stabilizer (PSS) Bacterial Foraging Algorithm (BFA) IEEE PSS2B IEEE PSS4B IEEE Std 421.5 inert-area oscillations power system stability
Content Type	Text
Resource Type	Article

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