Voltage Stability Enhancement Based on Optimal Allocation of Shunt Compensation Devices Using Lightning Attachment Procedure Optimization

This paper proposes a combined approach to determine the optimal allocation of different shunt compensation devices (shunt capacitor, static var compensator, and static synchronous compensator) in power systems. The developed approach is a combination between Lightning Attachment Procedure Optimizat...

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Main Authors: Salah Kamel, Heba Youssef
Format: Article
Language:English
Published: Universidad Internacional de La Rioja (UNIR) 2019-12-01
Series:International Journal of Interactive Multimedia and Artificial Intelligence
Subjects:
Online Access:http://www.ijimai.org/journal/node/3532
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spelling doaj-be375d152afb4603bbc9cc106f38fd292020-11-25T01:34:04ZengUniversidad Internacional de La Rioja (UNIR)International Journal of Interactive Multimedia and Artificial Intelligence1989-16601989-16602019-12-015712513410.9781/ijimai.2019.10.001ijimai.2019.10.001Voltage Stability Enhancement Based on Optimal Allocation of Shunt Compensation Devices Using Lightning Attachment Procedure OptimizationSalah KamelHeba YoussefThis paper proposes a combined approach to determine the optimal allocation of different shunt compensation devices (shunt capacitor, static var compensator, and static synchronous compensator) in power systems. The developed approach is a combination between Lightning Attachment Procedure Optimization (LAPO) and loss sensitivity indices (LSIs). Different objective functions such as enhancement of voltage stability index, improvement of voltage profile and minimization of total power losses are considered. Two loss sensitivity indices (LSIs) are developed to reduce the search space in all buses and the total computation time. The developed algorithm is validated using standard IEEE 14-bus and IEEE 30-bus test systems. The developed algorithm successes to achieve the objective functions with the better performance compared with other wellknown optimization techniques such as Teaching learning-based optimization (TLBO), genetic algorithm (GA) and particle swarm optimization (PSO).http://www.ijimai.org/journal/node/3532lightning attachment procedure optimizationoptimal power flowsensitivityshunt compensation devicesvoltage stability
collection DOAJ
language English
format Article
sources DOAJ
author Salah Kamel
Heba Youssef
spellingShingle Salah Kamel
Heba Youssef
Voltage Stability Enhancement Based on Optimal Allocation of Shunt Compensation Devices Using Lightning Attachment Procedure Optimization
International Journal of Interactive Multimedia and Artificial Intelligence
lightning attachment procedure optimization
optimal power flow
sensitivity
shunt compensation devices
voltage stability
author_facet Salah Kamel
Heba Youssef
author_sort Salah Kamel
title Voltage Stability Enhancement Based on Optimal Allocation of Shunt Compensation Devices Using Lightning Attachment Procedure Optimization
title_short Voltage Stability Enhancement Based on Optimal Allocation of Shunt Compensation Devices Using Lightning Attachment Procedure Optimization
title_full Voltage Stability Enhancement Based on Optimal Allocation of Shunt Compensation Devices Using Lightning Attachment Procedure Optimization
title_fullStr Voltage Stability Enhancement Based on Optimal Allocation of Shunt Compensation Devices Using Lightning Attachment Procedure Optimization
title_full_unstemmed Voltage Stability Enhancement Based on Optimal Allocation of Shunt Compensation Devices Using Lightning Attachment Procedure Optimization
title_sort voltage stability enhancement based on optimal allocation of shunt compensation devices using lightning attachment procedure optimization
publisher Universidad Internacional de La Rioja (UNIR)
series International Journal of Interactive Multimedia and Artificial Intelligence
issn 1989-1660
1989-1660
publishDate 2019-12-01
description This paper proposes a combined approach to determine the optimal allocation of different shunt compensation devices (shunt capacitor, static var compensator, and static synchronous compensator) in power systems. The developed approach is a combination between Lightning Attachment Procedure Optimization (LAPO) and loss sensitivity indices (LSIs). Different objective functions such as enhancement of voltage stability index, improvement of voltage profile and minimization of total power losses are considered. Two loss sensitivity indices (LSIs) are developed to reduce the search space in all buses and the total computation time. The developed algorithm is validated using standard IEEE 14-bus and IEEE 30-bus test systems. The developed algorithm successes to achieve the objective functions with the better performance compared with other wellknown optimization techniques such as Teaching learning-based optimization (TLBO), genetic algorithm (GA) and particle swarm optimization (PSO).
topic lightning attachment procedure optimization
optimal power flow
sensitivity
shunt compensation devices
voltage stability
url http://www.ijimai.org/journal/node/3532
work_keys_str_mv AT salahkamel voltagestabilityenhancementbasedonoptimalallocationofshuntcompensationdevicesusinglightningattachmentprocedureoptimization
AT hebayoussef voltagestabilityenhancementbasedonoptimalallocationofshuntcompensationdevicesusinglightningattachmentprocedureoptimization
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