A Review on State Estimation Techniques in Active Distribution Networks: Existing Practices and Their Challenges

dc.contributor.authorRadhoush, Sepideh
dc.contributor.authorBahramipanah, Maryam
dc.contributor.authorNehrir, Hashem
dc.contributor.authorShahooei, Zagros
dc.date.accessioned2023-05-08T16:19:09Z
dc.date.available2023-05-08T16:19:09Z
dc.date.issued2022-02
dc.description© 2022 by the authors Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_US
dc.description.abstractThis paper provides a comprehensive review of distribution system state estimation in terms of basic definition, different methods, and their application. In the last few years, the operation of distribution networks has been influenced by the installation of distributed generations. In order to control and manage an active distribution network’s performance, distribution system state estimation methods are introduced. A transmission system state estimation cannot be used directly in distribution networks since transmission and distribution networks are different due to topology configuration, the number of buses, line parameters, and the number of measurement instruments. So, the proper state estimation algorithms should be proposed according to the main distribution network features. Accuracy, computational efficiency, and practical implications should be considered in the designing of distribution state estimation techniques since technical issues and wrong decisions could emerge in the control center by inaccurate distribution state estimation results. In this study, conventional techniques are reviewed and compared with data-driven methods in order to highlight the pros and cons of different techniques. Furthermore, the integrated distribution state estimation methods are compared with the distributed approaches, and the different criteria, including the level of area overlapping execution time and computing architecture, are elaborated. Moreover, mathematical problem formulation and different measuring methods are discussed.en_US
dc.identifier.citationRadhoush, S.; Bahramipanah, M.; Nehrir, H.; Shahooei, Z. A Review on State Estimation Techniques in Active Distribution Networks: Existing Practices and Their Challenges. Sustainability 2022, 14, 2520. https:// doi.org/10.3390/su14052520en_US
dc.identifier.issn2071-1050
dc.identifier.urihttps://scholarworks.montana.edu/handle/1/17807
dc.language.isoen_USen_US
dc.publisherMDPIen_US
dc.rightscc-byen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.subjectdistribution system state estimationen_US
dc.subjectdistributed state estimationen_US
dc.subjectmodel-based state estimationen_US
dc.subjectdata-based state estimationen_US
dc.titleA Review on State Estimation Techniques in Active Distribution Networks: Existing Practices and Their Challengesen_US
dc.typeArticleen_US
mus.citation.extentfirstpage1en_US
mus.citation.extentlastpage16en_US
mus.citation.issue5en_US
mus.citation.journaltitleSustainabilityen_US
mus.citation.volume14en_US
mus.data.thumbpage8en_US
mus.identifier.doi10.3390/su14052520en_US
mus.relation.collegeCollege of Engineeringen_US
mus.relation.departmentElectrical & Computer Engineering.en_US
mus.relation.universityMontana State University - Bozemanen_US

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
radhouse-distribution-2022.pdf
Size:
2.42 MB
Format:
Adobe Portable Document Format
Description:
active distrbution networks

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Copyright (c) 2002-2022, LYRASIS. All rights reserved.