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Tuned PID by Genetic Algorithm for AGC with Different Wind Penetration

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Abstract

In this paper, Automatic Generation Control (AGC) of two area non-reheat power system with the integration of wind power is presented. The influence of wind power on AGC is investigated with different wind penetration. In order to improve the frequency response in the presence of wind power, a Proportional Integral Derivative (PID) controller gains have been optimized using a Genetic Algorithm (GA). The simulation results confirm that GA is able to generate better dynamic performance.

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Correspondence to Soumia Kail .

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Kail, S., Bekri, A., Hazzab, A. (2020). Tuned PID by Genetic Algorithm for AGC with Different Wind Penetration. In: Hatti, M. (eds) Smart Energy Empowerment in Smart and Resilient Cities. ICAIRES 2019. Lecture Notes in Networks and Systems, vol 102. Springer, Cham. https://doi.org/10.1007/978-3-030-37207-1_24

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  • DOI: https://doi.org/10.1007/978-3-030-37207-1_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37206-4

  • Online ISBN: 978-3-030-37207-1

  • eBook Packages: EngineeringEngineering (R0)

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