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Applications of Computational Intelligence Techniques for Automatic Generation Control Problem—A Short Review from 2010 to 2018

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Computational Intelligence in Pattern Recognition

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 999))

Abstract

This work provides a brief review report on applications of computational intelligence techniques for automatic generation control (AGC) problem. Various optimization techniques employed to the conventional multi-area power system and restructured power system are highlighted. With that, the review also highlights the types of controllers used for various types of systems.

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Authors and Affiliations

  1. Department of Electrical & Electronics Engineering, Sri Sivani College of Engineering, Srikakulam, 532410, Andhra Pradesh, India

    Tulasichandra Sekhar Gorripotu, Simma Gopi, Halini Samalla, A. V. L. Prasanna & B. Samira

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  1. Tulasichandra Sekhar Gorripotu
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  2. Simma Gopi
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  3. Halini Samalla
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  4. A. V. L. Prasanna
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  5. B. Samira
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Correspondence to Tulasichandra Sekhar Gorripotu .

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Editors and Affiliations

  1. Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Howrah, West Bengal, India

    Asit Kumar Das

  2. Department of Computer Science and Engineering, Sri Sivani College of Engineering, Srikakulam, Andhra Pradesh, India

    Janmenjoy Nayak

  3. Department of Computer Application, Veer Surendra Sai University of Technology, Burla, Sambalpur, Odisha, India

    Bighnaraj Naik

  4. Department of Bioinformatics, Maulana Abul Kalam Azad University of Technology, Kolkata, West Bengal, India

    Soumen Kumar Pati

  5. Faculty of Communication Sciences, University of Teramo, Teramo, Italy

    Danilo Pelusi

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Gorripotu, T.S., Gopi, S., Samalla, H., Prasanna, A.V.L., Samira, B. (2020). Applications of Computational Intelligence Techniques for Automatic Generation Control Problem—A Short Review from 2010 to 2018. In: Das, A., Nayak, J., Naik, B., Pati, S., Pelusi, D. (eds) Computational Intelligence in Pattern Recognition. Advances in Intelligent Systems and Computing, vol 999. Springer, Singapore. https://doi.org/10.1007/978-981-13-9042-5_48

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