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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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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