Optimal Coordination of PSS and SSSC Controllers in Power System Using Ant Colony Optimization Algorithm

Volatility leads to disruption in synchronism between generators of a continuous system. The frequency of the volatility is usually between a few tenths of Hz to several Hz. This volatility is sometimes divided into two types, local and interregional. Local volatility is the low-frequency volatility...

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Published inJournal of circuits, systems, and computers Vol. 31; no. 4
Main Authors Kamarposhti, Mehrdad Ahmadi, Colak, Ilhami, Iwendi, Celestine, Band, Shahab S., Ibeke, Ebuka
Format Journal Article
LanguageEnglish
Published Singapore World Scientific Publishing Company 15.03.2022
World Scientific Publishing Co. Pte., Ltd
Subjects
Algorithms
Ant colony optimization
Dynamic stability
Phase error
Power plants
Synchronism
Volatility
cost reduction
PSS
low-frequency volatility
FACTS devices
SSSC
ant colony optimization algorithm
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Abstract Volatility leads to disruption in synchronism between generators of a continuous system. The frequency of the volatility is usually between a few tenths of Hz to several Hz. This volatility is sometimes divided into two types, local and interregional. Local volatility is the low-frequency volatility of a power plant unit or units of a power plant relative to the grid whereas interregional volatility is the volatility of the units of one area relative to the units of another area. The worst kind of low-frequency volatility occurs when the power system in a region has a short three-phase connection to the earth, creating a complete instability of the grid and operating protective systems. One of the ways to improve the dynamic stability and steady-state of the power system is to use power system stabilizers and FACTS devices in the system. In this paper, the stabilization of the power system stabilizers (PSSs) and SSSC is done using the ant colony algorithm. Studies on a four-machine system with the three-phase error were performed in two scenarios and finally compared with the PSO method. The simulation results show that the proposed method produced more accurate performance.
AbstractList Volatility leads to disruption in synchronism between generators of a continuous system. The frequency of the volatility is usually between a few tenths of Hz to several Hz. This volatility is sometimes divided into two types, local and interregional. Local volatility is the low-frequency volatility of a power plant unit or units of a power plant relative to the grid whereas interregional volatility is the volatility of the units of one area relative to the units of another area. The worst kind of low-frequency volatility occurs when the power system in a region has a short three-phase connection to the earth, creating a complete instability of the grid and operating protective systems. One of the ways to improve the dynamic stability and steady-state of the power system is to use power system stabilizers and FACTS devices in the system. In this paper, the stabilization of the power system stabilizers (PSSs) and SSSC is done using the ant colony algorithm. Studies on a four-machine system with the three-phase error were performed in two scenarios and finally compared with the PSO method. The simulation results show that the proposed method produced more accurate performance.
Author Kamarposhti, Mehrdad Ahmadi
Ibeke, Ebuka
Colak, Ilhami
Iwendi, Celestine
Band, Shahab S.
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Keywords cost reduction
PSS
low-frequency volatility
FACTS devices
SSSC
ant colony optimization algorithm
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Snippet Volatility leads to disruption in synchronism between generators of a continuous system. The frequency of the volatility is usually between a few tenths of Hz...
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SubjectTerms Algorithms
Ant colony optimization
Dynamic stability
Phase error
Power plants
Synchronism
Volatility
Title Optimal Coordination of PSS and SSSC Controllers in Power System Using Ant Colony Optimization Algorithm
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