Fractional-order Proportional-integral-derivative-based Automatic Generation Control in Deregulated Power Systems |
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Authors: | Ismayil Chathoth Sreerama Kumar Ramdas Sindhu Thiruthimana Krishnan |
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Affiliation: | 1. Department of Electrical Engineering, National Institute of Technology, Calicut, Kerala, India;2. King Abdulaziz University, Jeddah, Saudi Arabia |
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Abstract: | Abstract—In this article, implementation of a fractional-order proportional-integral-derivative controller is proposed as supplementary automatic generation control of interconnected multi-area deregulated power systems that operates under the effects of bilateral contracts on the dynamics. The tuning of the fractional-order proportional-integral-derivative controller parameters is formulated as an optimization problem and solved by employing a genetic algorithm. The traditional automatic generation control loop incorporated with the concept of the distribution company participation matrix and fractional-order proportional-integral-derivative supplementary controller is simulated for different operating cases; a comparison among the conventional integral controller, hybrid fuzzy proportional-integral controller, genetic algorithm-tuned proportional-integral controller, and genetic algorithm-tuned proportional-integral-derivative controllers is presented. The simulation results show that the system employing a genetic algorithm-tuned fractional-order proportional-integral-derivative controller has better performance than the integer-order hybrid fuzzy proportional-integral, genetic algorithm-tuned proportional-integral, and genetic algorithm-tuned proportional-integral-derivative controllers in terms of settling time and overshoot. |
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Keywords: | automatic generation control deregulated power systems fractional calculus fractional-order controller fuzzy logic control genetic algorithm load frequency control power system control distribution company participation matrix |
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