A coordinated genetic based type-2 fuzzy stabilizer for conventional and superconducting generators

•A coordinated type-2 fuzzy stabilizer between exciter and governor is proposed.•Scaling factors of the proposed stabilizer are optimized using genetic algorithms.•The optimized stabilizer is tested for conventional and superconducting generators.•Results illustrate a good and superior performance o...

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Bibliographic Details
Published in:Electric power systems research 2015-12, Vol.129, p.51-61
Main Authors: Mayouf Adjeroud, F., Djahli, F., Mayouf, A., Devers, T.
Format: Article
Language:English
Subjects:
Coordinated exciter-governor control
Genetic algorithms
Superconducting generator
Type-2 fuzzy logic stabilizer
Uncertainty
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Summary:•A coordinated type-2 fuzzy stabilizer between exciter and governor is proposed.•Scaling factors of the proposed stabilizer are optimized using genetic algorithms.•The optimized stabilizer is tested for conventional and superconducting generators.•Results illustrate a good and superior performance of the proposed stabilizer.•Ability of the type-2 fuzzy stabilizer in handling uncertainties is demonstrated. This paper presents a new coordinated genetic interval type-2 fuzzy stabilizer for enhancing stability of a single machine infinite-bus (SMIB) power system including conventional or superconducting generators. Its principle is based on a coordination done by implementing simultaneously, interval type-2 fuzzy controllers, into excitation and turbine governor systems. Optimal adjustment of scaling factors has been carried out using genetic algorithms (GAs). Type-2 fuzzy controller provides improvement in comparison with type-1 controller in terms of modeling and minimizing the effect of uncertainties. Furthermore, governor control helps in damping oscillations enhancement especially in case of superconducting machine when excitation control alone is not sufficient. Non-linear simulation results of a SMIB power system, under different operating conditions, prove the effectiveness and the robustness of the proposed optimized type-2 fuzzy stabilizer (GFLC2EG) for both conventional and superconducting generators. In order to validate the robust performance of the proposed stabilizer, a comparative study is presented showing its superiority over other types of stabilizers.
ISSN:0378-7796
1873-2046
DOI:10.1016/j.epsr.2015.07.014