@article{(Open Science Index):https://publications.waset.org/pdf/11326,
	  title     = {Genetic Algorithm Based Design of Fuzzy Logic Power System Stabilizers in Multimachine Power System},
	  author    = {Manisha Dubey and  Aalok Dubey},
	  country	= {},
	  institution	= {},
	  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 compare to
conventionally tuned controller to enhance system dynamic
performance over a wide range of operating conditions.},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {4},
	  number    = {6},
	  year      = {2010},
	  pages     = {980 - 987},
	  ee        = {https://publications.waset.org/pdf/11326},
	  url   	= {https://publications.waset.org/vol/42},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 42, 2010},