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Two Area Load Frequency Control of Hybrid Power System Using Genetic Algorithm and Differential Evolution Tuned PID Controller in Deregulated Environment

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Transactions on Engineering Technologies

Abstract

Load frequency control (LFC) of interconnected power system ensures zero steady state error in frequency dynamics and proper sharing of load by generators. Use of PID controllers in LFC enhances smooth and efficient control of area control error (ACE). For the sake of sustainable and environment friendly power generation, use of renewable energy sources along with non-renewable one are accentuated to generate power in open market scenario these days. In this work, PID controllers tuned with Genetic Algorithm (GA) and Differential Evolution (DE) are used for two area LFC with thermal, hydro and diesel generators. The incorporation of PID controller gives desired power system dynamic responses. It is observed that frequency reaches the steady state value within reasonable time and generators of connected areas share the tie line power according to their participation factors. MATLAB codes are developed for GA and DE based tuning of PID controller. The optimized values of PID gains are used to study the power system dynamics due to change in loads using Simulink.

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Acknowledgments

This work was supported by Departmental Research Scheme (DRS) of University Grant Commission of Government of India awarded to the Department of Power Engineering, Jadavpur University in the year 2003.

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Authors and Affiliations

  1. Power Engineering Department, Jadavpur University Saltlake Campus, LB-8, Sector-III, Kolkata, 700098, India

    Gargi Konar, Kamal Krishna Mandal & Niladri Chakraborty

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  1. Gargi Konar
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  2. Kamal Krishna Mandal
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  3. Niladri Chakraborty
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Corresponding author

Correspondence to Gargi Konar .

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Editors and Affiliations

  1. Multimedia Engineering College of Engioneering, Mokpo National University, Chonnam, Korea, Republic of (South Korea)

    Gi-Chul Yang

  2. Unit 1, 1/F, Hung To Road, IAENG Secretariat, International Association of Engine, Hong Kong, Hong Kong SAR

    Sio-Iong Ao

  3. Faculty of Information Sciences and Engineering, University of Canberra, Canberra, Aust Capital Terr, Australia

    Xu Huang

  4. Calzada Tecnologico s/n, Instituto Tecnologico de Tijuana, Tijuana, Baja California, Mexico

    Oscar Castillo

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Konar, G., Mandal, K.K., Chakraborty, N. (2015). Two Area Load Frequency Control of Hybrid Power System Using Genetic Algorithm and Differential Evolution Tuned PID Controller in Deregulated Environment. In: Yang, GC., Ao, SI., Huang, X., Castillo, O. (eds) Transactions on Engineering Technologies. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9588-3_21

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  • DOI: https://doi.org/10.1007/978-94-017-9588-3_21

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-9587-6

  • Online ISBN: 978-94-017-9588-3

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