Optimal Management of Reactive Power Considering Voltage and Location of Control Devices Using Artificial Bee Algorithm

Reactive power compensation is one of the practical tools that can be used to improve power systems and reduce costs. These benefits are achieved when the compensators are installed in a suitable place with optimal capacity. This study solves the issues of optimal supply and the purchase of reactive...

Full description

Bibliographic Details
Main Authors: Hassan Shokouhandeh, Sohaib Latif, Sadaf Irshad, Mehrdad Ahmadi Kamarposhti, Ilhami Colak, Kei Eguchi
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/1/27
_version_ 1797499711770329088
author Hassan Shokouhandeh
Sohaib Latif
Sadaf Irshad
Mehrdad Ahmadi Kamarposhti
Ilhami Colak
Kei Eguchi
author_facet Hassan Shokouhandeh
Sohaib Latif
Sadaf Irshad
Mehrdad Ahmadi Kamarposhti
Ilhami Colak
Kei Eguchi
author_sort Hassan Shokouhandeh
collection DOAJ
description Reactive power compensation is one of the practical tools that can be used to improve power systems and reduce costs. These benefits are achieved when the compensators are installed in a suitable place with optimal capacity. This study solves the issues of optimal supply and the purchase of reactive power in the IEEE 30-bus power system, especially when considering voltage stability and reducing total generation and operational costs, including generation costs, reserves, and the installation of reactive power control devices. The modified version of the artificial bee colony (MABC) algorithm is proposed to solve optimization problems and its results are compared with the artificial bee colony (ABC) algorithm, the particle swarm optimization (PSO) algorithm and the genetic algorithm (GA). The simulation results showed that the minimum losses in the power system requires further costs for reactive power compensation. Also, optimization results proved that the proposed MABC algorithm has a lower active power loss, reactive power costs, a better voltage profile and greater stability than the other three algorithms.
first_indexed 2024-03-10T03:51:21Z
format Article
id doaj.art-7ec2a2e9518c4f2e8f9c75c9eb10cfdd
institution Directory Open Access Journal
issn 2076-3417
language English
last_indexed 2024-03-10T03:51:21Z
publishDate 2021-12-01
publisher MDPI AG
record_format Article
series Applied Sciences
spelling doaj.art-7ec2a2e9518c4f2e8f9c75c9eb10cfdd2023-11-23T11:06:32ZengMDPI AGApplied Sciences2076-34172021-12-011212710.3390/app12010027Optimal Management of Reactive Power Considering Voltage and Location of Control Devices Using Artificial Bee AlgorithmHassan Shokouhandeh0Sohaib Latif1Sadaf Irshad2Mehrdad Ahmadi Kamarposhti3Ilhami Colak4Kei Eguchi5Department of Electrical Engineering, Semnan University, Semnan, IranSchool of Mathematics and Big Data, Department of Computer Science, Anhui University of Science and Technology, Huainan 232001, ChinaSchool of Mathematics and Big Data, Department of Computer Science, Anhui University of Science and Technology, Huainan 232001, ChinaDepartment of Electrical Engineering, Jouybar Branch, Islamic Azad University, Jouybar, IranDepartment of Electrical and Electronics Engineering, Faculty of Engineering and Architectures, Nisantasi University, Istanbul, TurkeyDepartment of Information Electronics, Fukuoka Institute of Technology, Fukuoka 811-0295, JapanReactive power compensation is one of the practical tools that can be used to improve power systems and reduce costs. These benefits are achieved when the compensators are installed in a suitable place with optimal capacity. This study solves the issues of optimal supply and the purchase of reactive power in the IEEE 30-bus power system, especially when considering voltage stability and reducing total generation and operational costs, including generation costs, reserves, and the installation of reactive power control devices. The modified version of the artificial bee colony (MABC) algorithm is proposed to solve optimization problems and its results are compared with the artificial bee colony (ABC) algorithm, the particle swarm optimization (PSO) algorithm and the genetic algorithm (GA). The simulation results showed that the minimum losses in the power system requires further costs for reactive power compensation. Also, optimization results proved that the proposed MABC algorithm has a lower active power loss, reactive power costs, a better voltage profile and greater stability than the other three algorithms.https://www.mdpi.com/2076-3417/12/1/27control devicesartificial bee colony algorithmvoltage stabilityreactive power
spellingShingle Hassan Shokouhandeh
Sohaib Latif
Sadaf Irshad
Mehrdad Ahmadi Kamarposhti
Ilhami Colak
Kei Eguchi
Optimal Management of Reactive Power Considering Voltage and Location of Control Devices Using Artificial Bee Algorithm
Applied Sciences
control devices
artificial bee colony algorithm
voltage stability
reactive power
title Optimal Management of Reactive Power Considering Voltage and Location of Control Devices Using Artificial Bee Algorithm
title_full Optimal Management of Reactive Power Considering Voltage and Location of Control Devices Using Artificial Bee Algorithm
title_fullStr Optimal Management of Reactive Power Considering Voltage and Location of Control Devices Using Artificial Bee Algorithm
title_full_unstemmed Optimal Management of Reactive Power Considering Voltage and Location of Control Devices Using Artificial Bee Algorithm
title_short Optimal Management of Reactive Power Considering Voltage and Location of Control Devices Using Artificial Bee Algorithm
title_sort optimal management of reactive power considering voltage and location of control devices using artificial bee algorithm
topic control devices
artificial bee colony algorithm
voltage stability
reactive power
url https://www.mdpi.com/2076-3417/12/1/27
work_keys_str_mv AT hassanshokouhandeh optimalmanagementofreactivepowerconsideringvoltageandlocationofcontroldevicesusingartificialbeealgorithm
AT sohaiblatif optimalmanagementofreactivepowerconsideringvoltageandlocationofcontroldevicesusingartificialbeealgorithm
AT sadafirshad optimalmanagementofreactivepowerconsideringvoltageandlocationofcontroldevicesusingartificialbeealgorithm
AT mehrdadahmadikamarposhti optimalmanagementofreactivepowerconsideringvoltageandlocationofcontroldevicesusingartificialbeealgorithm
AT ilhamicolak optimalmanagementofreactivepowerconsideringvoltageandlocationofcontroldevicesusingartificialbeealgorithm
AT keieguchi optimalmanagementofreactivepowerconsideringvoltageandlocationofcontroldevicesusingartificialbeealgorithm