A Comprehensive Survey on Use of Soft Computing and Optimization Techniques for Load Frequency Control

Yogesh Prajapati; Vithal Kamat; Jatin Patel; Rahul Kher

doi:doi:10.11648/j.jeee.20200802.13

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A Comprehensive Survey on Use of Soft Computing and Optimization Techniques for Load Frequency Control

Yogesh Prajapati, Vithal Kamat, Jatin Patel, Rahul Kher

Published in Journal of Electrical and Electronic Engineering (Volume 8, Issue 2)

Received: 20 April 2020 Accepted: 27 May 2020 Published: 20 June 2020

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Abstract

Load frequency control (LFC) is one of the most profitable ancillary services of power system market presently. The main goal of LFC is to reduce zero steady-state error for frequency deviations. In the present review paper of LFC problem, worldwide history of various types of controllers, control strategy, smart techniques and methodologies which are implemented and which can be implemented at generation, transmission and distribution areas of a power system. Moreover, ABT mechanism in India is implemented in 2002 to regulate grid frequency. Out of this in deregulated power system energy storage with the potential of different types of energy storage at distribution area in the power system has been highlighted. In a smart grid due to intermittent nature of the renewable energy sources (wind and solar), unpredictable daily and seasonal variations there may be an imbalance between supply and demand which results in deviations in the grid frequency. To eliminate the problem of LFC Electrical energy storage (EES) is technologies are listed. LFC problem with different soft computing techniques such as Genetic Algorithm (GA), Neural Network (NN), Fuzzy Logic (FG), Particle Swarm Optimization (PSO), Bacterial Foraging Optimization (BFP), Tabu Search Algorithm (TSA) has been carried out. This literature review will help the new researcher to give the guideline to work in the area of load frequency control.

Published in	Journal of Electrical and Electronic Engineering (Volume 8, Issue 2) This article belongs to the Special Issue Soft Computing Methods for Electrical and Electronics Engineering Applications
DOI	10.11648/j.jeee.20200802.13
Page(s)	64-70
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), 2020. Published by Science Publishing Group

Keywords

Automatic Generation Control (AGC), Load Frequency Control, Restructured Power System, Distributed Energy Storage (DES)

References

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Yogesh Prajapati, Vithal Kamat, Jatin Patel, Rahul Kher. (2020). A Comprehensive Survey on Use of Soft Computing and Optimization Techniques for Load Frequency Control. Journal of Electrical and Electronic Engineering, 8(2), 64-70. https://doi.org/10.11648/j.jeee.20200802.13

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ACS Style

Yogesh Prajapati; Vithal Kamat; Jatin Patel; Rahul Kher. A Comprehensive Survey on Use of Soft Computing and Optimization Techniques for Load Frequency Control. J. Electr. Electron. Eng. 2020, 8(2), 64-70. doi: 10.11648/j.jeee.20200802.13

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AMA Style

Yogesh Prajapati, Vithal Kamat, Jatin Patel, Rahul Kher. A Comprehensive Survey on Use of Soft Computing and Optimization Techniques for Load Frequency Control. J Electr Electron Eng. 2020;8(2):64-70. doi: 10.11648/j.jeee.20200802.13

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@article{10.11648/j.jeee.20200802.13,
  author = {Yogesh Prajapati and Vithal Kamat and Jatin Patel and Rahul Kher},
  title = {A Comprehensive Survey on Use of Soft Computing and Optimization Techniques for Load Frequency Control},
  journal = {Journal of Electrical and Electronic Engineering},
  volume = {8},
  number = {2},
  pages = {64-70},
  doi = {10.11648/j.jeee.20200802.13},
  url = {https://doi.org/10.11648/j.jeee.20200802.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20200802.13},
  abstract = {Load frequency control (LFC) is one of the most profitable ancillary services of power system market presently. The main goal of LFC is to reduce zero steady-state error for frequency deviations. In the present review paper of LFC problem, worldwide history of various types of controllers, control strategy, smart techniques and methodologies which are implemented and which can be implemented at generation, transmission and distribution areas of a power system. Moreover, ABT mechanism in India is implemented in 2002 to regulate grid frequency. Out of this in deregulated power system energy storage with the potential of different types of energy storage at distribution area in the power system has been highlighted. In a smart grid due to intermittent nature of the renewable energy sources (wind and solar), unpredictable daily and seasonal variations there may be an imbalance between supply and demand which results in deviations in the grid frequency. To eliminate the problem of LFC Electrical energy storage (EES) is technologies are listed. LFC problem with different soft computing techniques such as Genetic Algorithm (GA), Neural Network (NN), Fuzzy Logic (FG), Particle Swarm Optimization (PSO), Bacterial Foraging Optimization (BFP), Tabu Search Algorithm (TSA) has been carried out. This literature review will help the new researcher to give the guideline to work in the area of load frequency control.},
 year = {2020}
}

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TY  - JOUR
T1  - A Comprehensive Survey on Use of Soft Computing and Optimization Techniques for Load Frequency Control
AU  - Yogesh Prajapati
AU  - Vithal Kamat
AU  - Jatin Patel
AU  - Rahul Kher
Y1  - 2020/06/20
PY  - 2020
N1  - https://doi.org/10.11648/j.jeee.20200802.13
DO  - 10.11648/j.jeee.20200802.13
T2  - Journal of Electrical and Electronic Engineering
JF  - Journal of Electrical and Electronic Engineering
JO  - Journal of Electrical and Electronic Engineering
SP  - 64
EP  - 70
PB  - Science Publishing Group
SN  - 2329-1605
UR  - https://doi.org/10.11648/j.jeee.20200802.13
AB  - Load frequency control (LFC) is one of the most profitable ancillary services of power system market presently. The main goal of LFC is to reduce zero steady-state error for frequency deviations. In the present review paper of LFC problem, worldwide history of various types of controllers, control strategy, smart techniques and methodologies which are implemented and which can be implemented at generation, transmission and distribution areas of a power system. Moreover, ABT mechanism in India is implemented in 2002 to regulate grid frequency. Out of this in deregulated power system energy storage with the potential of different types of energy storage at distribution area in the power system has been highlighted. In a smart grid due to intermittent nature of the renewable energy sources (wind and solar), unpredictable daily and seasonal variations there may be an imbalance between supply and demand which results in deviations in the grid frequency. To eliminate the problem of LFC Electrical energy storage (EES) is technologies are listed. LFC problem with different soft computing techniques such as Genetic Algorithm (GA), Neural Network (NN), Fuzzy Logic (FG), Particle Swarm Optimization (PSO), Bacterial Foraging Optimization (BFP), Tabu Search Algorithm (TSA) has been carried out. This literature review will help the new researcher to give the guideline to work in the area of load frequency control.
VL  - 8
IS  - 2
ER  -

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Author Information

Yogesh Prajapati

Department of Electrical Engg, BVM Engg College, Vallabh Vidyanagar, India
Vithal Kamat

Baroda Electric Meters, Vithal Udyognagar, India
Jatin Patel

Department of Electrical Engg, G H Patel College of Engg & Tech, Vallabh Vidyanagar, India
Rahul Kher

Department of Electronics & Communication Engg, G H Patel College of Engg & Tech, Vallabh Vidyanagar, India

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APA Style

Yogesh Prajapati, Vithal Kamat, Jatin Patel, Rahul Kher. (2020). A Comprehensive Survey on Use of Soft Computing and Optimization Techniques for Load Frequency Control. Journal of Electrical and Electronic Engineering, 8(2), 64-70. https://doi.org/10.11648/j.jeee.20200802.13

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ACS Style

Yogesh Prajapati; Vithal Kamat; Jatin Patel; Rahul Kher. A Comprehensive Survey on Use of Soft Computing and Optimization Techniques for Load Frequency Control. J. Electr. Electron. Eng. 2020, 8(2), 64-70. doi: 10.11648/j.jeee.20200802.13

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AMA Style

Yogesh Prajapati, Vithal Kamat, Jatin Patel, Rahul Kher. A Comprehensive Survey on Use of Soft Computing and Optimization Techniques for Load Frequency Control. J Electr Electron Eng. 2020;8(2):64-70. doi: 10.11648/j.jeee.20200802.13

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@article{10.11648/j.jeee.20200802.13,
  author = {Yogesh Prajapati and Vithal Kamat and Jatin Patel and Rahul Kher},
  title = {A Comprehensive Survey on Use of Soft Computing and Optimization Techniques for Load Frequency Control},
  journal = {Journal of Electrical and Electronic Engineering},
  volume = {8},
  number = {2},
  pages = {64-70},
  doi = {10.11648/j.jeee.20200802.13},
  url = {https://doi.org/10.11648/j.jeee.20200802.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20200802.13},
  abstract = {Load frequency control (LFC) is one of the most profitable ancillary services of power system market presently. The main goal of LFC is to reduce zero steady-state error for frequency deviations. In the present review paper of LFC problem, worldwide history of various types of controllers, control strategy, smart techniques and methodologies which are implemented and which can be implemented at generation, transmission and distribution areas of a power system. Moreover, ABT mechanism in India is implemented in 2002 to regulate grid frequency. Out of this in deregulated power system energy storage with the potential of different types of energy storage at distribution area in the power system has been highlighted. In a smart grid due to intermittent nature of the renewable energy sources (wind and solar), unpredictable daily and seasonal variations there may be an imbalance between supply and demand which results in deviations in the grid frequency. To eliminate the problem of LFC Electrical energy storage (EES) is technologies are listed. LFC problem with different soft computing techniques such as Genetic Algorithm (GA), Neural Network (NN), Fuzzy Logic (FG), Particle Swarm Optimization (PSO), Bacterial Foraging Optimization (BFP), Tabu Search Algorithm (TSA) has been carried out. This literature review will help the new researcher to give the guideline to work in the area of load frequency control.},
 year = {2020}
}

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TY  - JOUR
T1  - A Comprehensive Survey on Use of Soft Computing and Optimization Techniques for Load Frequency Control
AU  - Yogesh Prajapati
AU  - Vithal Kamat
AU  - Jatin Patel
AU  - Rahul Kher
Y1  - 2020/06/20
PY  - 2020
N1  - https://doi.org/10.11648/j.jeee.20200802.13
DO  - 10.11648/j.jeee.20200802.13
T2  - Journal of Electrical and Electronic Engineering
JF  - Journal of Electrical and Electronic Engineering
JO  - Journal of Electrical and Electronic Engineering
SP  - 64
EP  - 70
PB  - Science Publishing Group
SN  - 2329-1605
UR  - https://doi.org/10.11648/j.jeee.20200802.13
AB  - Load frequency control (LFC) is one of the most profitable ancillary services of power system market presently. The main goal of LFC is to reduce zero steady-state error for frequency deviations. In the present review paper of LFC problem, worldwide history of various types of controllers, control strategy, smart techniques and methodologies which are implemented and which can be implemented at generation, transmission and distribution areas of a power system. Moreover, ABT mechanism in India is implemented in 2002 to regulate grid frequency. Out of this in deregulated power system energy storage with the potential of different types of energy storage at distribution area in the power system has been highlighted. In a smart grid due to intermittent nature of the renewable energy sources (wind and solar), unpredictable daily and seasonal variations there may be an imbalance between supply and demand which results in deviations in the grid frequency. To eliminate the problem of LFC Electrical energy storage (EES) is technologies are listed. LFC problem with different soft computing techniques such as Genetic Algorithm (GA), Neural Network (NN), Fuzzy Logic (FG), Particle Swarm Optimization (PSO), Bacterial Foraging Optimization (BFP), Tabu Search Algorithm (TSA) has been carried out. This literature review will help the new researcher to give the guideline to work in the area of load frequency control.
VL  - 8
IS  - 2
ER  -

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