GA application to optimization of AGC in three-area power system after deregulation

A. Demiroren; H. L. Zeynelgil

doi:10.1016/j.ijepes.2006.07.005

GA application to optimization of AGC in three-area power system after deregulation

A. Demiroren^*, H. L. Zeynelgil

^*Corresponding author for this work

Department of Electrical Engineering

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

165 Citations (Scopus)

Abstract

In this paper, genetic algorithm (GA), which is used for optimization of integral gains and bias factors, is applied to automatic generation control (AGC) in three-area power system after deregulation. The conventional three-area AGC system is modified to take into account the effect of bilateral contracts on the dynamics. In the considered power system, each area contains two GENCOs; GENCOs at the first and the second areas include steam turbines and GENCOs at the third area include hydro turbines as generating units. After deregulation, to describe bilateral contract for three-area AGC, DISCO participation matrix is used. The performance of the system is studied for different operating cases, in terms of the conventional controller gains and bias factors optimized using real coded GA.

Original language	English
Pages (from-to)	230-240
Number of pages	11
Journal	International Journal of Electrical Power and Energy Systems
Volume	29
Issue number	3
DOIs	https://doi.org/10.1016/j.ijepes.2006.07.005
Publication status	Published - Mar 2007

Keywords

Area control error
Automatic generation control
Genetic algorithm
Optimization
Power system control

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.ijepes.2006.07.005

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title = "GA application to optimization of AGC in three-area power system after deregulation",

abstract = "In this paper, genetic algorithm (GA), which is used for optimization of integral gains and bias factors, is applied to automatic generation control (AGC) in three-area power system after deregulation. The conventional three-area AGC system is modified to take into account the effect of bilateral contracts on the dynamics. In the considered power system, each area contains two GENCOs; GENCOs at the first and the second areas include steam turbines and GENCOs at the third area include hydro turbines as generating units. After deregulation, to describe bilateral contract for three-area AGC, DISCO participation matrix is used. The performance of the system is studied for different operating cases, in terms of the conventional controller gains and bias factors optimized using real coded GA.",

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author = "A. Demiroren and Zeynelgil, {H. L.}",

year = "2007",

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AU - Demiroren, A.

AU - Zeynelgil, H. L.

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AB - In this paper, genetic algorithm (GA), which is used for optimization of integral gains and bias factors, is applied to automatic generation control (AGC) in three-area power system after deregulation. The conventional three-area AGC system is modified to take into account the effect of bilateral contracts on the dynamics. In the considered power system, each area contains two GENCOs; GENCOs at the first and the second areas include steam turbines and GENCOs at the third area include hydro turbines as generating units. After deregulation, to describe bilateral contract for three-area AGC, DISCO participation matrix is used. The performance of the system is studied for different operating cases, in terms of the conventional controller gains and bias factors optimized using real coded GA.

KW - Area control error

KW - Automatic generation control

KW - Genetic algorithm

KW - Optimization

KW - Power system control

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M3 - Article

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JO - International Journal of Electrical Power and Energy Systems

JF - International Journal of Electrical Power and Energy Systems

IS - 3

ER -

GA application to optimization of AGC in three-area power system after deregulation

Abstract

Keywords

UN SDGs

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