Optimal AGC tuning with genetic algorithms

Y. L. Abdel-Magid; M. M. Dawoud

doi:10.1016/S0378-7796(96)01091-7

Optimal AGC tuning with genetic algorithms

Y. L. Abdel-Magid^*
, M. M. Dawoud

^*Corresponding author for this work

King Fahd University of Petroleum & Minerals

Research output: Contribution to journal › Article › peer-review

123 Scopus citations

Abstract

This paper deals with the application of genetic algorithms for optimizing the parameters of conventional automatic generation control (AGC) systems. A two-area nonreheat thermal system is considered to exemplify the optimum parameter search. A digital simulation is used in conjunction with the genetic algorithm optimization process. Several integral performance indices, or cost functions, are considered in the search for the optimal AGC parameters. The work is further extended to include the use of more elaborate feedback control strategies, such as the proportional-plus-integral type, within the decentralized frame. The results reported in this paper have not been obtained before and they demonstrate the effectiveness of the genetic algorithms in the tuning of the AGC parameters.

Original language	English
Pages (from-to)	231-238
Number of pages	8
Journal	Electric Power Systems Research
Volume	38
Issue number	3
DOIs	https://doi.org/10.1016/S0378-7796(96)01091-7
State	Published - Sep 1996

Bibliographical note

Funding Information:
The authors acknowledge the support and encouragement of King Fahd University of Petroleum and Minerals which made it possible to conduct this research.

Keywords

Automatic generation control
Genetic algorithms
Power systems

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

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10.1016/S0378-7796(96)01091-7

Cite this

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title = "Optimal AGC tuning with genetic algorithms",

abstract = "This paper deals with the application of genetic algorithms for optimizing the parameters of conventional automatic generation control (AGC) systems. A two-area nonreheat thermal system is considered to exemplify the optimum parameter search. A digital simulation is used in conjunction with the genetic algorithm optimization process. Several integral performance indices, or cost functions, are considered in the search for the optimal AGC parameters. The work is further extended to include the use of more elaborate feedback control strategies, such as the proportional-plus-integral type, within the decentralized frame. The results reported in this paper have not been obtained before and they demonstrate the effectiveness of the genetic algorithms in the tuning of the AGC parameters.",

keywords = "Automatic generation control, Genetic algorithms, Power systems",

author = "Abdel-Magid, \{Y. L.\} and Dawoud, \{M. M.\}",

note = "Funding Information: The authors acknowledge the support and encouragement of King Fahd University of Petroleum and Minerals which made it possible to conduct this research.",

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AU - Abdel-Magid, Y. L.

AU - Dawoud, M. M.

N1 - Funding Information: The authors acknowledge the support and encouragement of King Fahd University of Petroleum and Minerals which made it possible to conduct this research.

PY - 1996/9

Y1 - 1996/9

N2 - This paper deals with the application of genetic algorithms for optimizing the parameters of conventional automatic generation control (AGC) systems. A two-area nonreheat thermal system is considered to exemplify the optimum parameter search. A digital simulation is used in conjunction with the genetic algorithm optimization process. Several integral performance indices, or cost functions, are considered in the search for the optimal AGC parameters. The work is further extended to include the use of more elaborate feedback control strategies, such as the proportional-plus-integral type, within the decentralized frame. The results reported in this paper have not been obtained before and they demonstrate the effectiveness of the genetic algorithms in the tuning of the AGC parameters.

AB - This paper deals with the application of genetic algorithms for optimizing the parameters of conventional automatic generation control (AGC) systems. A two-area nonreheat thermal system is considered to exemplify the optimum parameter search. A digital simulation is used in conjunction with the genetic algorithm optimization process. Several integral performance indices, or cost functions, are considered in the search for the optimal AGC parameters. The work is further extended to include the use of more elaborate feedback control strategies, such as the proportional-plus-integral type, within the decentralized frame. The results reported in this paper have not been obtained before and they demonstrate the effectiveness of the genetic algorithms in the tuning of the AGC parameters.

KW - Automatic generation control

KW - Genetic algorithms

KW - Power systems

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SP - 231

EP - 238

JO - Electric Power Systems Research

JF - Electric Power Systems Research

IS - 3

ER -

Optimal AGC tuning with genetic algorithms

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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