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...

Full description

Bibliographic Details
Main Authors: Alireza Norouzi, Hossein Shayeghi, Javad Olamaei
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