The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON POWER SYSTEMS
Transactions ID Number: 32-151
Full Name: Manisha Dubey
Position: Assistant Professor
Age: ON
Sex: Female
Address: Maulana Azad National Institute of Technology,Bhopal,462051,INDIA
Country: INDIA
Tel: +91-9425008258
Tel prefix: +91
Fax: +91-755-2670562
E-mail address: md_mact@yahoo.co.in
Other E-mails: manishadubey6@gmail.com
Title of the Paper: Tunning of fuzzy logic power system stabilizers using genetic algorithm in multimachine power system
Authors as they appear in the Paper: Manisha Dubey, Nikos E . Mastorakis
Email addresses of all the authors: md_mact@yahoo.co.in, manishadubey6@gmail.com,mastor@wseas.org
Number of paper pages: 10
Abstract: This paper presents an approach for the design of fuzzy logic power system stabilizers using genetic algorithms. In the proposed fuzzy expert system, speed deviation and its derivative have been selected as fuzzy inputs. In this approach the parameters of the fuzzy logic controllers have been tuned using genetic algorithm. Incorporation of GA in the design of fuzzy logic power system stabilizer will add an intelligent dimension to the stabilizer and significantly reduces computational time in the design process. It is shown in this paper that the system dynamic performance can be improved significantly by incorporating a genetic-based searching mechanism. To demonstrate the robustness of the genetic based fuzzy logic power system stabilizer (GFLPSS), simulation studies on multimachine system subjected to small perturbation and three-phase fault have been carried out. Simulation results show the superiority and robustness of GA based power system stabilizer as comp!
are to conventionally tuned controller to enhance system dynamic performance over a wide range of operating conditions.
Keywords: Dynamic stability, Fuzzy logic based power system stabilizer, Genetic Algorithms, Genetic based power system stabilizer, Power system stabilizer.
EXTENSION of the file: .doc
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