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...
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MDPI AG
2021-12-01
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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. |
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language | English |
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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 |
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