GA Technique to Solve the Load Frequency and Tie-Line Power Problem of Thermal Generating Unit

Ashish Dhamanda; Gajendra Singh Rawat

doi:doi:10.11648/j.net.20190702.16

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GA Technique to Solve the Load Frequency and Tie-Line Power Problem of Thermal Generating Unit

Ashish Dhamanda, Gajendra Singh Rawat

Published in Advances in Networks (Volume 7, Issue 2)

Received: 19 October 2019 Accepted: 20 November 2019 Published: 2 December 2019

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Abstract

For a wide role of a electric power system, Automatic Generation Control (AGC) is responsible to area load changes and abnormal imprecise system operating parameters essentially means very fast minimization of area frequency changes and mutual tie line power flow changes of the areas for satisfactory and stable operation of the system. Some technique gives the good results in normal operation but in abnormal condition, it take large time to settle down the load disturbance, which is harmful for the system. Genetic Algorithm (GA) Technique) provides better control performance over frequency deviations and tie line power flow deviations due to a normal and abnormal operating condition of sudden load changes. In this paper six area model of thermal generating units has been developed and simulated in MATLAB Simulink software. Response of the developed model has been obtained by GA technique and compared with the other technique like; fuzzy, PID. Tabulated result shows that the GA technique give the better performance over the other technique due to settling down the frequency and tie line power flow changing in less time and maintenance the system constancy with the litmits.

Published in	Advances in Networks (Volume 7, Issue 2)
DOI	10.11648/j.net.20190702.16
Page(s)	51-58
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), 2019. Published by Science Publishing Group

Keywords

Imprecise System, Frequency Deviations, Tie Line Power Flow, Automatic Generation Control, Genetic Algorithm

References

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APA Style

Ashish Dhamanda, Gajendra Singh Rawat. (2019). GA Technique to Solve the Load Frequency and Tie-Line Power Problem of Thermal Generating Unit. Advances in Networks, 7(2), 51-58. https://doi.org/10.11648/j.net.20190702.16

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ACS Style

Ashish Dhamanda; Gajendra Singh Rawat. GA Technique to Solve the Load Frequency and Tie-Line Power Problem of Thermal Generating Unit. Adv. Netw. 2019, 7(2), 51-58. doi: 10.11648/j.net.20190702.16

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AMA Style

Ashish Dhamanda, Gajendra Singh Rawat. GA Technique to Solve the Load Frequency and Tie-Line Power Problem of Thermal Generating Unit. Adv Netw. 2019;7(2):51-58. doi: 10.11648/j.net.20190702.16

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@article{10.11648/j.net.20190702.16,
  author = {Ashish Dhamanda and Gajendra Singh Rawat},
  title = {GA Technique to Solve the Load Frequency and Tie-Line Power Problem of Thermal Generating Unit},
  journal = {Advances in Networks},
  volume = {7},
  number = {2},
  pages = {51-58},
  doi = {10.11648/j.net.20190702.16},
  url = {https://doi.org/10.11648/j.net.20190702.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.net.20190702.16},
  abstract = {For a wide role of a electric power system, Automatic Generation Control (AGC) is responsible to area load changes and abnormal imprecise system operating parameters essentially means very fast minimization of area frequency changes and mutual tie line power flow changes of the areas for satisfactory and stable operation of the system. Some technique gives the good results in normal operation but in abnormal condition, it take large time to settle down the load disturbance, which is harmful for the system. Genetic Algorithm (GA) Technique) provides better control performance over frequency deviations and tie line power flow deviations due to a normal and abnormal operating condition of sudden load changes. In this paper six area model of thermal generating units has been developed and simulated in MATLAB Simulink software. Response of the developed model has been obtained by GA technique and compared with the other technique like; fuzzy, PID. Tabulated result shows that the GA technique give the better performance over the other technique due to settling down the frequency and tie line power flow changing in less time and maintenance the system constancy with the litmits.},
 year = {2019}
}

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TY  - JOUR
T1  - GA Technique to Solve the Load Frequency and Tie-Line Power Problem of Thermal Generating Unit
AU  - Ashish Dhamanda
AU  - Gajendra Singh Rawat
Y1  - 2019/12/02
PY  - 2019
N1  - https://doi.org/10.11648/j.net.20190702.16
DO  - 10.11648/j.net.20190702.16
T2  - Advances in Networks
JF  - Advances in Networks
JO  - Advances in Networks
SP  - 51
EP  - 58
PB  - Science Publishing Group
SN  - 2326-9782
UR  - https://doi.org/10.11648/j.net.20190702.16
AB  - For a wide role of a electric power system, Automatic Generation Control (AGC) is responsible to area load changes and abnormal imprecise system operating parameters essentially means very fast minimization of area frequency changes and mutual tie line power flow changes of the areas for satisfactory and stable operation of the system. Some technique gives the good results in normal operation but in abnormal condition, it take large time to settle down the load disturbance, which is harmful for the system. Genetic Algorithm (GA) Technique) provides better control performance over frequency deviations and tie line power flow deviations due to a normal and abnormal operating condition of sudden load changes. In this paper six area model of thermal generating units has been developed and simulated in MATLAB Simulink software. Response of the developed model has been obtained by GA technique and compared with the other technique like; fuzzy, PID. Tabulated result shows that the GA technique give the better performance over the other technique due to settling down the frequency and tie line power flow changing in less time and maintenance the system constancy with the litmits.
VL  - 7
IS  - 2
ER  -

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Author Information

Ashish Dhamanda

Electrical Engineering Department, Gurukula Kangri University, Haridwar, India
Gajendra Singh Rawat

Electrical Engineering Department, Gurukula Kangri University, Haridwar, India

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APA Style

Ashish Dhamanda, Gajendra Singh Rawat. (2019). GA Technique to Solve the Load Frequency and Tie-Line Power Problem of Thermal Generating Unit. Advances in Networks, 7(2), 51-58. https://doi.org/10.11648/j.net.20190702.16

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ACS Style

Ashish Dhamanda; Gajendra Singh Rawat. GA Technique to Solve the Load Frequency and Tie-Line Power Problem of Thermal Generating Unit. Adv. Netw. 2019, 7(2), 51-58. doi: 10.11648/j.net.20190702.16

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AMA Style

Ashish Dhamanda, Gajendra Singh Rawat. GA Technique to Solve the Load Frequency and Tie-Line Power Problem of Thermal Generating Unit. Adv Netw. 2019;7(2):51-58. doi: 10.11648/j.net.20190702.16

Copy | Download

@article{10.11648/j.net.20190702.16,
  author = {Ashish Dhamanda and Gajendra Singh Rawat},
  title = {GA Technique to Solve the Load Frequency and Tie-Line Power Problem of Thermal Generating Unit},
  journal = {Advances in Networks},
  volume = {7},
  number = {2},
  pages = {51-58},
  doi = {10.11648/j.net.20190702.16},
  url = {https://doi.org/10.11648/j.net.20190702.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.net.20190702.16},
  abstract = {For a wide role of a electric power system, Automatic Generation Control (AGC) is responsible to area load changes and abnormal imprecise system operating parameters essentially means very fast minimization of area frequency changes and mutual tie line power flow changes of the areas for satisfactory and stable operation of the system. Some technique gives the good results in normal operation but in abnormal condition, it take large time to settle down the load disturbance, which is harmful for the system. Genetic Algorithm (GA) Technique) provides better control performance over frequency deviations and tie line power flow deviations due to a normal and abnormal operating condition of sudden load changes. In this paper six area model of thermal generating units has been developed and simulated in MATLAB Simulink software. Response of the developed model has been obtained by GA technique and compared with the other technique like; fuzzy, PID. Tabulated result shows that the GA technique give the better performance over the other technique due to settling down the frequency and tie line power flow changing in less time and maintenance the system constancy with the litmits.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - GA Technique to Solve the Load Frequency and Tie-Line Power Problem of Thermal Generating Unit
AU  - Ashish Dhamanda
AU  - Gajendra Singh Rawat
Y1  - 2019/12/02
PY  - 2019
N1  - https://doi.org/10.11648/j.net.20190702.16
DO  - 10.11648/j.net.20190702.16
T2  - Advances in Networks
JF  - Advances in Networks
JO  - Advances in Networks
SP  - 51
EP  - 58
PB  - Science Publishing Group
SN  - 2326-9782
UR  - https://doi.org/10.11648/j.net.20190702.16
AB  - For a wide role of a electric power system, Automatic Generation Control (AGC) is responsible to area load changes and abnormal imprecise system operating parameters essentially means very fast minimization of area frequency changes and mutual tie line power flow changes of the areas for satisfactory and stable operation of the system. Some technique gives the good results in normal operation but in abnormal condition, it take large time to settle down the load disturbance, which is harmful for the system. Genetic Algorithm (GA) Technique) provides better control performance over frequency deviations and tie line power flow deviations due to a normal and abnormal operating condition of sudden load changes. In this paper six area model of thermal generating units has been developed and simulated in MATLAB Simulink software. Response of the developed model has been obtained by GA technique and compared with the other technique like; fuzzy, PID. Tabulated result shows that the GA technique give the better performance over the other technique due to settling down the frequency and tie line power flow changing in less time and maintenance the system constancy with the litmits.
VL  - 7
IS  - 2
ER  -

Copy | Download