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Automatic Generation Control in Deregulated Power System Using Genetic Algorithm Optimized Fuzzy Controller |
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PP: 479-487 |
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doi:10.18576/amis/110217
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Author(s) |
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S. Ajitha Priyadarsini,
P. Melba Mary,
Willjuice Iruthayarajan,
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Abstract |
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| This work addresses the control of load frequency where the chosen arena is the two area thermal-thermal power systems dealt under deregulated field. Tuning of the fuzzy logic controller is based on genetic algorithm. Graded AC tie-lines are used to relate the regions. Optimization of the scaling gains of the controller is the prime thing in bringing ideal tuning. The controller adopted in this paper has gone through several operating conditions under the field of deregulated two area system. The influence of bilateral accordance between the distribution and generation companies is the part of this work that is simulated via Simulink/MATLAB. Thus, in comparison with performance, the genetic algorithm tuned fuzzy logic controller is better than the existing integral controller or the non-tuned fuzzy logic controller |
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