Load Frequency Control of Interconnected Hydro-Thermal Power System Using Conventional PI and Fuzzy Logic Controller

Muhammad Ahsan Zamee; Dipankar Mitra; Sadaf Yusuf Tahhan

doi:doi:10.11648/j.ijepe.20130205.12

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Load Frequency Control of Interconnected Hydro-Thermal Power System Using Conventional PI and Fuzzy Logic Controller

Muhammad Ahsan Zamee, Dipankar Mitra, Sadaf Yusuf Tahhan

Published in International Journal of Energy and Power Engineering (Volume 2, Issue 5)

Received: 8 September 2013 Accepted: Published: 30 October 2013

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Abstract

In industry or any area increasing load is a vast problem for power generation plants due to increase in demand for power. So making balance between generation and demand is the operating principle of load frequency control (LFC). The reliable operation of a large interconnected power system necessarily requires an Automatic Generation Control (AGC). The objective of AGC is to regulate the power output of Generators within a specified area in response to change in the system frequency, tie line power or relation of the two to each other, so as to maintain the scheduled system frequency and power interchange in the other are within the prescribed limits. This paper presents the use of conventional PI controller and artificial intelligence to study the load frequency control of interconnected power system. In the proposed scheme, a control methodology is developed using conventional PI controller and Fuzzy Logic controller (FLC) for interconnected hydro-thermal power system. The control strategies guarantees that the steady state error of frequencies and inadvertent interchange of tie-lines power are maintained in a given tolerance limitations. The performances of the controllers are simulated using MATLAB/SIMULINK package. A comparison of Fuzzy controller and PI controller based approaches shows the superiority of proposed Fuzzy logic controller for step change in loading conditions. The simulation results also tabulated as a comparative performance in view of settling time and peak over shoot.

Published in	International Journal of Energy and Power Engineering (Volume 2, Issue 5)
DOI	10.11648/j.ijepe.20130205.12
Page(s)	191-196
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, Fuzzy Logic Controller, PI controller, MATLAB/SIMULINK

References

[1]	Anand B., Ebenezer A. Jeyakumar. 2009. Load frequency control with fuzzy logic controller considering non-linearities and boiler dynamics, ICGST-ACSE Journal, ISSN 1687-4811, Volume 8, issue 111, pp 15-20.
[2]	Aravindan P., Sanavullah M.Y. 2009. Fuzzy Logic Based Automatic Load Frequency Control of Two Area Power System With GRC, International Journal of Computational Intelligence Research, Volume 5, Number 1. pp. 37–44.
[3]	Jawat, T. and Fadel, A, B. "Adaptive Fuzzy Gain Scheduling for Load frequency control", IEEE Trans. on PAS, vol. 14, No 1, February 1999.
[4]	Ibraheem, Kumar P., Kothari D.P., 2005. Recent Philosophies of Automatic Generation Control strategies in Power systems, IEEE Transaction on Power System Vol.20, No.1, pp-346-357.
[5]	Surya-Prakash, Sinha S.K., Brijesh-Singh, Pandey A.S. 2009. Impact of slider gain on Load Frequency Control using Fuzzy Logic Controller, ARPN Journal of Engineering and Applied Science, Vol. 4, No 7.pp. 20-27.
[6]	Edison, B, and Ilie, M, "Advanced Generation control: Technical Enhancements, costs, and Responses of market Driven Demand" Proc. of the 57th Annual American Power conf; vol. 57, No. 2, 1995, pp 1419-1427.
[7]	Amit Kumar, Aziz Ahmad, Ashwani Grover, Umesh Gupta, "Load Frequency Control Using Fuzzy Logic" , International Journal of Scientific and Research Publications, Volume 2, Issue 7, July 2012
[8]	Surya Prakash , S. K. Sinha, "Application of artificial intelligence in load frequency control of interconnected power system", International Journal of Engineering, Science and Technology.
[9]	A. Mangla and J. Nanda , "Automatic Generation Control of an Interconnected Hydro-Thermal System Using Conventional Integral and Fuzzy Logic controller", International conference on electrical utility, deregulation, destructuring, and power technologies, pp372-377, April 2004.
[10]	Q. P. Ha. 1998. "A Fuzzy sliding mode controller", International Conference of Knowledge based Intelligent Electronic System. Adelaide, Australia. 2123 2nd April.

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APA Style

Muhammad Ahsan Zamee, Dipankar Mitra, Sadaf Yusuf Tahhan. (2013). Load Frequency Control of Interconnected Hydro-Thermal Power System Using Conventional PI and Fuzzy Logic Controller. International Journal of Energy and Power Engineering, 2(5), 191-196. https://doi.org/10.11648/j.ijepe.20130205.12

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ACS Style

Muhammad Ahsan Zamee; Dipankar Mitra; Sadaf Yusuf Tahhan. Load Frequency Control of Interconnected Hydro-Thermal Power System Using Conventional PI and Fuzzy Logic Controller. Int. J. Energy Power Eng. 2013, 2(5), 191-196. doi: 10.11648/j.ijepe.20130205.12

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AMA Style

Muhammad Ahsan Zamee, Dipankar Mitra, Sadaf Yusuf Tahhan. Load Frequency Control of Interconnected Hydro-Thermal Power System Using Conventional PI and Fuzzy Logic Controller. Int J Energy Power Eng. 2013;2(5):191-196. doi: 10.11648/j.ijepe.20130205.12

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@article{10.11648/j.ijepe.20130205.12,
  author = {Muhammad Ahsan Zamee and Dipankar Mitra and Sadaf Yusuf Tahhan},
  title = {Load Frequency Control of Interconnected Hydro-Thermal Power System Using Conventional PI and Fuzzy Logic Controller},
  journal = {International Journal of Energy and Power Engineering},
  volume = {2},
  number = {5},
  pages = {191-196},
  doi = {10.11648/j.ijepe.20130205.12},
  url = {https://doi.org/10.11648/j.ijepe.20130205.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20130205.12},
  abstract = {In industry or any area increasing load is a vast problem for power generation plants due to increase in demand for power. So making balance between generation and demand is the operating principle of load frequency control (LFC). The reliable operation of a large interconnected power system necessarily requires an Automatic Generation Control (AGC). The objective of AGC is to regulate the power output of Generators within a specified area in response to change in the system frequency, tie line power or relation of the two to each other, so as to maintain the scheduled system frequency and power interchange in the other are within the prescribed limits. This paper presents the use of conventional PI controller and artificial intelligence to study the load frequency control of interconnected power system. In the proposed scheme, a control methodology is developed using conventional PI controller and Fuzzy Logic controller (FLC) for interconnected hydro-thermal power system. The control strategies guarantees that the steady state error of frequencies and inadvertent interchange of tie-lines power are maintained in a given tolerance limitations. The performances of the controllers are simulated using MATLAB/SIMULINK package. A comparison of Fuzzy controller and PI controller based approaches shows the superiority of proposed Fuzzy logic controller for step change in loading conditions. The simulation results also tabulated as a comparative performance in view of settling time and peak over shoot.},
 year = {2013}
}

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TY  - JOUR
T1  - Load Frequency Control of Interconnected Hydro-Thermal Power System Using Conventional PI and Fuzzy Logic Controller
AU  - Muhammad Ahsan Zamee
AU  - Dipankar Mitra
AU  - Sadaf Yusuf Tahhan
Y1  - 2013/10/30
PY  - 2013
N1  - https://doi.org/10.11648/j.ijepe.20130205.12
DO  - 10.11648/j.ijepe.20130205.12
T2  - International Journal of Energy and Power Engineering
JF  - International Journal of Energy and Power Engineering
JO  - International Journal of Energy and Power Engineering
SP  - 191
EP  - 196
PB  - Science Publishing Group
SN  - 2326-960X
UR  - https://doi.org/10.11648/j.ijepe.20130205.12
AB  - In industry or any area increasing load is a vast problem for power generation plants due to increase in demand for power. So making balance between generation and demand is the operating principle of load frequency control (LFC). The reliable operation of a large interconnected power system necessarily requires an Automatic Generation Control (AGC). The objective of AGC is to regulate the power output of Generators within a specified area in response to change in the system frequency, tie line power or relation of the two to each other, so as to maintain the scheduled system frequency and power interchange in the other are within the prescribed limits. This paper presents the use of conventional PI controller and artificial intelligence to study the load frequency control of interconnected power system. In the proposed scheme, a control methodology is developed using conventional PI controller and Fuzzy Logic controller (FLC) for interconnected hydro-thermal power system. The control strategies guarantees that the steady state error of frequencies and inadvertent interchange of tie-lines power are maintained in a given tolerance limitations. The performances of the controllers are simulated using MATLAB/SIMULINK package. A comparison of Fuzzy controller and PI controller based approaches shows the superiority of proposed Fuzzy logic controller for step change in loading conditions. The simulation results also tabulated as a comparative performance in view of settling time and peak over shoot.
VL  - 2
IS  - 5
ER  -

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Author Information

Muhammad Ahsan Zamee

Department of Electrical & Electronic Engineering, World University of Bangladesh, Dhaka, Bangladesh
Dipankar Mitra

Department of Electrical & Electronic Engineering, Chittagong University of Engineering and Technology, Chittagong, Bangladesh
Sadaf Yusuf Tahhan

Department of Electrical & Electronic Engineering, Chittagong University of Engineering and Technology, Chittagong, Bangladesh

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APA Style

Muhammad Ahsan Zamee, Dipankar Mitra, Sadaf Yusuf Tahhan. (2013). Load Frequency Control of Interconnected Hydro-Thermal Power System Using Conventional PI and Fuzzy Logic Controller. International Journal of Energy and Power Engineering, 2(5), 191-196. https://doi.org/10.11648/j.ijepe.20130205.12

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ACS Style

Muhammad Ahsan Zamee; Dipankar Mitra; Sadaf Yusuf Tahhan. Load Frequency Control of Interconnected Hydro-Thermal Power System Using Conventional PI and Fuzzy Logic Controller. Int. J. Energy Power Eng. 2013, 2(5), 191-196. doi: 10.11648/j.ijepe.20130205.12

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AMA Style

Muhammad Ahsan Zamee, Dipankar Mitra, Sadaf Yusuf Tahhan. Load Frequency Control of Interconnected Hydro-Thermal Power System Using Conventional PI and Fuzzy Logic Controller. Int J Energy Power Eng. 2013;2(5):191-196. doi: 10.11648/j.ijepe.20130205.12

Copy | Download

@article{10.11648/j.ijepe.20130205.12,
  author = {Muhammad Ahsan Zamee and Dipankar Mitra and Sadaf Yusuf Tahhan},
  title = {Load Frequency Control of Interconnected Hydro-Thermal Power System Using Conventional PI and Fuzzy Logic Controller},
  journal = {International Journal of Energy and Power Engineering},
  volume = {2},
  number = {5},
  pages = {191-196},
  doi = {10.11648/j.ijepe.20130205.12},
  url = {https://doi.org/10.11648/j.ijepe.20130205.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20130205.12},
  abstract = {In industry or any area increasing load is a vast problem for power generation plants due to increase in demand for power. So making balance between generation and demand is the operating principle of load frequency control (LFC). The reliable operation of a large interconnected power system necessarily requires an Automatic Generation Control (AGC). The objective of AGC is to regulate the power output of Generators within a specified area in response to change in the system frequency, tie line power or relation of the two to each other, so as to maintain the scheduled system frequency and power interchange in the other are within the prescribed limits. This paper presents the use of conventional PI controller and artificial intelligence to study the load frequency control of interconnected power system. In the proposed scheme, a control methodology is developed using conventional PI controller and Fuzzy Logic controller (FLC) for interconnected hydro-thermal power system. The control strategies guarantees that the steady state error of frequencies and inadvertent interchange of tie-lines power are maintained in a given tolerance limitations. The performances of the controllers are simulated using MATLAB/SIMULINK package. A comparison of Fuzzy controller and PI controller based approaches shows the superiority of proposed Fuzzy logic controller for step change in loading conditions. The simulation results also tabulated as a comparative performance in view of settling time and peak over shoot.},
 year = {2013}
}

Copy | Download

TY  - JOUR
T1  - Load Frequency Control of Interconnected Hydro-Thermal Power System Using Conventional PI and Fuzzy Logic Controller
AU  - Muhammad Ahsan Zamee
AU  - Dipankar Mitra
AU  - Sadaf Yusuf Tahhan
Y1  - 2013/10/30
PY  - 2013
N1  - https://doi.org/10.11648/j.ijepe.20130205.12
DO  - 10.11648/j.ijepe.20130205.12
T2  - International Journal of Energy and Power Engineering
JF  - International Journal of Energy and Power Engineering
JO  - International Journal of Energy and Power Engineering
SP  - 191
EP  - 196
PB  - Science Publishing Group
SN  - 2326-960X
UR  - https://doi.org/10.11648/j.ijepe.20130205.12
AB  - In industry or any area increasing load is a vast problem for power generation plants due to increase in demand for power. So making balance between generation and demand is the operating principle of load frequency control (LFC). The reliable operation of a large interconnected power system necessarily requires an Automatic Generation Control (AGC). The objective of AGC is to regulate the power output of Generators within a specified area in response to change in the system frequency, tie line power or relation of the two to each other, so as to maintain the scheduled system frequency and power interchange in the other are within the prescribed limits. This paper presents the use of conventional PI controller and artificial intelligence to study the load frequency control of interconnected power system. In the proposed scheme, a control methodology is developed using conventional PI controller and Fuzzy Logic controller (FLC) for interconnected hydro-thermal power system. The control strategies guarantees that the steady state error of frequencies and inadvertent interchange of tie-lines power are maintained in a given tolerance limitations. The performances of the controllers are simulated using MATLAB/SIMULINK package. A comparison of Fuzzy controller and PI controller based approaches shows the superiority of proposed Fuzzy logic controller for step change in loading conditions. The simulation results also tabulated as a comparative performance in view of settling time and peak over shoot.
VL  - 2
IS  - 5
ER  -

Copy | Download