Science Journal of Circuits, Systems and Signal Processing

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Load Frequency Control of Single Area Thermal Power Plant Using Type 1 Fuzzy Logic Controller

Received: 24 November 2017    Accepted: 15 December 2017    Published: 16 January 2018
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Abstract

In this paper, a type 1 Fuzzy controller is composed for solving change in load frequency problem of single area thermal power system. The performances of type 1 fuzzy controller have been demonstrated for comparing the performances of other published paper PID controller such as Ziegler Nichols method. A single area non-reheat thermal power plant with Fuzzy controller is simulated in MATLAB/SIMULINK platform due to a step change in load demand. The proposed fuzzy controller gives better dynamic responses of the power system in terms of Settling time, Peak Overshoot and Peak Undershoot.

DOI 10.11648/j.cssp.20170606.11
Published in Science Journal of Circuits, Systems and Signal Processing (Volume 6, Issue 6, December 2017)
Page(s) 50-56
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Load Frequency Control (LFC), Thermal Power Plant, Proportional-Integral-Derivative (PID) Controller, Fuzzy Logic Controller, Frequency Deviation

References
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Author Information
  • Department of Electrical Engineering, Rajasthan Technical University, Kota, India

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  • APA Style

    Rajendra Fagna. (2018). Load Frequency Control of Single Area Thermal Power Plant Using Type 1 Fuzzy Logic Controller. Science Journal of Circuits, Systems and Signal Processing, 6(6), 50-56. https://doi.org/10.11648/j.cssp.20170606.11

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    ACS Style

    Rajendra Fagna. Load Frequency Control of Single Area Thermal Power Plant Using Type 1 Fuzzy Logic Controller. Sci. J. Circuits Syst. Signal Process. 2018, 6(6), 50-56. doi: 10.11648/j.cssp.20170606.11

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    AMA Style

    Rajendra Fagna. Load Frequency Control of Single Area Thermal Power Plant Using Type 1 Fuzzy Logic Controller. Sci J Circuits Syst Signal Process. 2018;6(6):50-56. doi: 10.11648/j.cssp.20170606.11

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  • @article{10.11648/j.cssp.20170606.11,
      author = {Rajendra Fagna},
      title = {Load Frequency Control of Single Area Thermal Power Plant Using Type 1 Fuzzy Logic Controller},
      journal = {Science Journal of Circuits, Systems and Signal Processing},
      volume = {6},
      number = {6},
      pages = {50-56},
      doi = {10.11648/j.cssp.20170606.11},
      url = {https://doi.org/10.11648/j.cssp.20170606.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.cssp.20170606.11},
      abstract = {In this paper, a type 1 Fuzzy controller is composed for solving change in load frequency problem of single area thermal power system. The performances of type 1 fuzzy controller have been demonstrated for comparing the performances of other published paper PID controller such as Ziegler Nichols method. A single area non-reheat thermal power plant with Fuzzy controller is simulated in MATLAB/SIMULINK platform due to a step change in load demand. The proposed fuzzy controller gives better dynamic responses of the power system in terms of Settling time, Peak Overshoot and Peak Undershoot.},
     year = {2018}
    }
    

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    AU  - Rajendra Fagna
    Y1  - 2018/01/16
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    AB  - In this paper, a type 1 Fuzzy controller is composed for solving change in load frequency problem of single area thermal power system. The performances of type 1 fuzzy controller have been demonstrated for comparing the performances of other published paper PID controller such as Ziegler Nichols method. A single area non-reheat thermal power plant with Fuzzy controller is simulated in MATLAB/SIMULINK platform due to a step change in load demand. The proposed fuzzy controller gives better dynamic responses of the power system in terms of Settling time, Peak Overshoot and Peak Undershoot.
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