Multi-objective allocation of switching devices in distribution networks using the Modified Barnacles Mating Optimization algorithm
The present study proposes a new optimization method for the placement of various switches and distributed generation (DG) in distribution networks to enhance network reliability and reduce costs. Since the application of the islanding process in distribution networks is prohibited in most countries...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2022-11-01
|
Series: | Energy Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722017516 |
_version_ | 1797901891141632000 |
---|---|
author | Alireza Norouzi Hossein Shayeghi Javad Olamaei |
author_facet | Alireza Norouzi Hossein Shayeghi Javad Olamaei |
author_sort | Alireza Norouzi |
collection | DOAJ |
description | The present study proposes a new optimization method for the placement of various switches and distributed generation (DG) in distribution networks to enhance network reliability and reduce costs. Since the application of the islanding process in distribution networks is prohibited in most countries, the main idea here is to provide a multi-objective optimization to maximize network reliability and minimize the cost of DG equipment unavailability by considering no islanding process. The study considers an optimal solution to determine the number, location, and type of switching devices by considering distributed generators unavailability index (DGUI), the cost of the equipment, and the reliability of the network (SAIDI and SAIFI). The optimization process of the problem is based on a modified version of the Barnacles Mating Optimization (MBMO) algorithm to improve system efficiency including accuracy and global results. The proposed algorithm is first validated to verify its efficiency and then analyzed for optimization by considering network reliability (including SAIDI and SAIFI), the cost of the equipment, and DGUI. The results are compared with two other methods, i.e., the NSGAII-based method and the SPEA2-based method, to show the effectiveness of the proposed system in different terms. Then, a method based on remote-controlled switches (RCSs) is presented to improve network reliability and expenses. |
first_indexed | 2024-04-10T09:09:08Z |
format | Article |
id | doaj.art-b3bd9493a1ce4663aaf818eaefba9669 |
institution | Directory Open Access Journal |
issn | 2352-4847 |
language | English |
last_indexed | 2024-04-10T09:09:08Z |
publishDate | 2022-11-01 |
publisher | Elsevier |
record_format | Article |
series | Energy Reports |
spelling | doaj.art-b3bd9493a1ce4663aaf818eaefba96692023-02-21T05:13:23ZengElsevierEnergy Reports2352-48472022-11-0181261812627Multi-objective allocation of switching devices in distribution networks using the Modified Barnacles Mating Optimization algorithmAlireza Norouzi0Hossein Shayeghi1Javad Olamaei2Department of Electrical Engineering, Ardabil Branch, Islamic Azad University, Ardabil, IranDepartment of Electrical Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran; Department of Electrical Engineering, Faculty of Technical Engineering, University of Mohaghegh Ardabili, Ardabil, Iran; Corresponding author at: Department of Electrical Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran.Department of Electrical Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran; Department of Electrical Engineering, South Tehran Branch, Islamic Azad University, Tehran, IranThe present study proposes a new optimization method for the placement of various switches and distributed generation (DG) in distribution networks to enhance network reliability and reduce costs. Since the application of the islanding process in distribution networks is prohibited in most countries, the main idea here is to provide a multi-objective optimization to maximize network reliability and minimize the cost of DG equipment unavailability by considering no islanding process. The study considers an optimal solution to determine the number, location, and type of switching devices by considering distributed generators unavailability index (DGUI), the cost of the equipment, and the reliability of the network (SAIDI and SAIFI). The optimization process of the problem is based on a modified version of the Barnacles Mating Optimization (MBMO) algorithm to improve system efficiency including accuracy and global results. The proposed algorithm is first validated to verify its efficiency and then analyzed for optimization by considering network reliability (including SAIDI and SAIFI), the cost of the equipment, and DGUI. The results are compared with two other methods, i.e., the NSGAII-based method and the SPEA2-based method, to show the effectiveness of the proposed system in different terms. Then, a method based on remote-controlled switches (RCSs) is presented to improve network reliability and expenses.http://www.sciencedirect.com/science/article/pii/S2352484722017516Modified Barnacles Mating Optimization algorithm (MBMO)Remote-controlled switches (RCSs)Reliability improvement |
spellingShingle | Alireza Norouzi Hossein Shayeghi Javad Olamaei Multi-objective allocation of switching devices in distribution networks using the Modified Barnacles Mating Optimization algorithm Energy Reports Modified Barnacles Mating Optimization algorithm (MBMO) Remote-controlled switches (RCSs) Reliability improvement |
title | Multi-objective allocation of switching devices in distribution networks using the Modified Barnacles Mating Optimization algorithm |
title_full | Multi-objective allocation of switching devices in distribution networks using the Modified Barnacles Mating Optimization algorithm |
title_fullStr | Multi-objective allocation of switching devices in distribution networks using the Modified Barnacles Mating Optimization algorithm |
title_full_unstemmed | Multi-objective allocation of switching devices in distribution networks using the Modified Barnacles Mating Optimization algorithm |
title_short | Multi-objective allocation of switching devices in distribution networks using the Modified Barnacles Mating Optimization algorithm |
title_sort | multi objective allocation of switching devices in distribution networks using the modified barnacles mating optimization algorithm |
topic | Modified Barnacles Mating Optimization algorithm (MBMO) Remote-controlled switches (RCSs) Reliability improvement |
url | http://www.sciencedirect.com/science/article/pii/S2352484722017516 |
work_keys_str_mv | AT alirezanorouzi multiobjectiveallocationofswitchingdevicesindistributionnetworksusingthemodifiedbarnaclesmatingoptimizationalgorithm AT hosseinshayeghi multiobjectiveallocationofswitchingdevicesindistributionnetworksusingthemodifiedbarnaclesmatingoptimizationalgorithm AT javadolamaei multiobjectiveallocationofswitchingdevicesindistributionnetworksusingthemodifiedbarnaclesmatingoptimizationalgorithm |