Automated Distribution Networks Reliability Optimization in the Presence of DG Units Considering Probability Customer Interruption: A Practical Case Study

Automation in power distribution systems and supervisory control and data acquisition (SCADA), which perform network switching automatically and remotely, allows distribution companies to flexibly control distribution power grids. Cross-section switches also has a significant role in the automation...

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Main Authors: Hassan Karimi, Taher Niknam, Moslem Dehghani, Mohammad Ghiasi, Mina Ghasemigarpachi, Sanjeevikumar Padmanaban, Sajad Tabatabaee, Hamdulah Aliev
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9478891/
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spelling doaj-94e958634d6942ddab39927f21076e5d2021-08-17T23:00:49ZengIEEEIEEE Access2169-35362021-01-019984909850510.1109/ACCESS.2021.30961289478891Automated Distribution Networks Reliability Optimization in the Presence of DG Units Considering Probability Customer Interruption: A Practical Case StudyHassan Karimi0Taher Niknam1https://orcid.org/0000-0002-9391-6901Moslem Dehghani2https://orcid.org/0000-0002-1214-5974Mohammad Ghiasi3https://orcid.org/0000-0001-5020-056XMina Ghasemigarpachi4Sanjeevikumar Padmanaban5https://orcid.org/0000-0003-3212-2750Sajad Tabatabaee6Hamdulah Aliev7https://orcid.org/0000-0002-9367-288XDepartment of Electrical and Electronic Engineering, Shiraz University of Technology, Shiraz, IranDepartment of Electrical and Electronic Engineering, Shiraz University of Technology, Shiraz, IranDepartment of Electrical and Electronic Engineering, Shiraz University of Technology, Shiraz, IranDepartment of Electrical and Electronic Engineering, Shiraz University of Technology, Shiraz, IranDepartment of Electrical and Electronic Engineering, Shiraz University of Technology, Shiraz, IranDepartment of Business Development and Technology, CTiF Global Capsule, Aarhus University, Herning, DenmarkDepartment of Electrical Engineering, Mahshahr Branch, Islamic Azad University, Mahshahr, IranFaculty of Energy, Tajik Technical University, Dushanbe, TajikistanAutomation in power distribution systems and supervisory control and data acquisition (SCADA), which perform network switching automatically and remotely, allows distribution companies to flexibly control distribution power grids. Cross-section switches also has a significant role in the automation in distribution systems, in that the operational optimization of these switches is able to enhance the supply power quality and reliability indicators, and can be a prosperous solution to increase the reliability, efficiency and overall service quality in services to customers. In this regard, in this work, the genetic optimization algorithm (GOA) approach which integrated the Steepest Descend Technique (SDT) is proposed and enhanced based on the features of the mentioned issue to sketch the optimal location and control of automatic and manual cross-section switches and protection relay systems in distribution power systems. The GOA is able to search globally that can prevent the result from locally convergence, also, GOA gives superior primary solutions for the SDT. Thus, the SDT can search locally with higher performance which increase the solutions’ accuracy. Therefore, an optimization formulation is proposed to improve the value-based reliability of the suggested layout considering the cost of customer downtime and the costs related to segmentation of switches and relay protection devices. Also, a distributed generation (DG) system in distribution networks is considered based on the islanded state of generation units. The effectiveness of the optimal suggested procedure is evaluated and represented via performing a practical test system in the distribution network of Ahvaz city in Iran. The results show that using proposed method and by optimally allocating switches maneuver, energy losses without switches are reduced from 310.17 (MWh) to 254.2 (MWh), and also by using DG, losses are reduced from 554.01 to 533.61 which confirms the ability and higher accuracy of the proposed method to improve reliability indices.https://ieeexplore.ieee.org/document/9478891/Automated distribution networksgenetic algorithmsectionalizing switch placementreliabilitydistributed generationcustomer interruption cost model
collection DOAJ
language English
format Article
sources DOAJ
author Hassan Karimi
Taher Niknam
Moslem Dehghani
Mohammad Ghiasi
Mina Ghasemigarpachi
Sanjeevikumar Padmanaban
Sajad Tabatabaee
Hamdulah Aliev
spellingShingle Hassan Karimi
Taher Niknam
Moslem Dehghani
Mohammad Ghiasi
Mina Ghasemigarpachi
Sanjeevikumar Padmanaban
Sajad Tabatabaee
Hamdulah Aliev
Automated Distribution Networks Reliability Optimization in the Presence of DG Units Considering Probability Customer Interruption: A Practical Case Study
IEEE Access
Automated distribution networks
genetic algorithm
sectionalizing switch placement
reliability
distributed generation
customer interruption cost model
author_facet Hassan Karimi
Taher Niknam
Moslem Dehghani
Mohammad Ghiasi
Mina Ghasemigarpachi
Sanjeevikumar Padmanaban
Sajad Tabatabaee
Hamdulah Aliev
author_sort Hassan Karimi
title Automated Distribution Networks Reliability Optimization in the Presence of DG Units Considering Probability Customer Interruption: A Practical Case Study
title_short Automated Distribution Networks Reliability Optimization in the Presence of DG Units Considering Probability Customer Interruption: A Practical Case Study
title_full Automated Distribution Networks Reliability Optimization in the Presence of DG Units Considering Probability Customer Interruption: A Practical Case Study
title_fullStr Automated Distribution Networks Reliability Optimization in the Presence of DG Units Considering Probability Customer Interruption: A Practical Case Study
title_full_unstemmed Automated Distribution Networks Reliability Optimization in the Presence of DG Units Considering Probability Customer Interruption: A Practical Case Study
title_sort automated distribution networks reliability optimization in the presence of dg units considering probability customer interruption: a practical case study
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2021-01-01
description Automation in power distribution systems and supervisory control and data acquisition (SCADA), which perform network switching automatically and remotely, allows distribution companies to flexibly control distribution power grids. Cross-section switches also has a significant role in the automation in distribution systems, in that the operational optimization of these switches is able to enhance the supply power quality and reliability indicators, and can be a prosperous solution to increase the reliability, efficiency and overall service quality in services to customers. In this regard, in this work, the genetic optimization algorithm (GOA) approach which integrated the Steepest Descend Technique (SDT) is proposed and enhanced based on the features of the mentioned issue to sketch the optimal location and control of automatic and manual cross-section switches and protection relay systems in distribution power systems. The GOA is able to search globally that can prevent the result from locally convergence, also, GOA gives superior primary solutions for the SDT. Thus, the SDT can search locally with higher performance which increase the solutions’ accuracy. Therefore, an optimization formulation is proposed to improve the value-based reliability of the suggested layout considering the cost of customer downtime and the costs related to segmentation of switches and relay protection devices. Also, a distributed generation (DG) system in distribution networks is considered based on the islanded state of generation units. The effectiveness of the optimal suggested procedure is evaluated and represented via performing a practical test system in the distribution network of Ahvaz city in Iran. The results show that using proposed method and by optimally allocating switches maneuver, energy losses without switches are reduced from 310.17 (MWh) to 254.2 (MWh), and also by using DG, losses are reduced from 554.01 to 533.61 which confirms the ability and higher accuracy of the proposed method to improve reliability indices.
topic Automated distribution networks
genetic algorithm
sectionalizing switch placement
reliability
distributed generation
customer interruption cost model
url https://ieeexplore.ieee.org/document/9478891/
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