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.
Published in | Science Journal of Circuits, Systems and Signal Processing (Volume 6, Issue 6) |
DOI | 10.11648/j.cssp.20170606.11 |
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), 2018. Published by Science Publishing Group |
Load Frequency Control (LFC), Thermal Power Plant, Proportional-Integral-Derivative (PID) Controller, Fuzzy Logic Controller, Frequency Deviation
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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
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
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
@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://article.sciencepublishinggroup.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} }
TY - JOUR T1 - Load Frequency Control of Single Area Thermal Power Plant Using Type 1 Fuzzy Logic Controller AU - Rajendra Fagna Y1 - 2018/01/16 PY - 2018 N1 - https://doi.org/10.11648/j.cssp.20170606.11 DO - 10.11648/j.cssp.20170606.11 T2 - Science Journal of Circuits, Systems and Signal Processing JF - Science Journal of Circuits, Systems and Signal Processing JO - Science Journal of Circuits, Systems and Signal Processing SP - 50 EP - 56 PB - Science Publishing Group SN - 2326-9073 UR - https://doi.org/10.11648/j.cssp.20170606.11 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. VL - 6 IS - 6 ER -