A Comprehensive Review of Hybrid State Estimation in Power Systems: Challenges, Opportunities, and Prospects

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aut.relation.articlenumber4806
aut.relation.endpage4806
aut.relation.issue19
aut.relation.journalEnergies
aut.relation.startpage4806
aut.relation.volume17
dc.contributor.authorKamyabi, Leila
dc.contributor.authorLie, Tek Tjing
dc.contributor.authorMadanian, Samaneh
dc.contributor.authorMarshall, Sarah
dc.date.accessioned2024-10-02T03:49:02Z
dc.date.available2024-10-02T03:49:02Z
dc.date.issued2024-09-25
dc.description.abstractDue to the increasing demand for electricity, competitive electricity markets, and economic concerns, power systems are operating near their stability margins. As a result, power systems become more vulnerable following disturbances, particularly from a dynamic point of view. To maintain the stability of power systems, operators need to continuously monitor and analyze the grid’s state. Since modern power systems are large-scale, non-linear, complex, and interconnected, it is quite challenging and computationally demanding to monitor, control, and analyze them in real time. State Estimation (SE) is one of the most effective tools available to assist operators in monitoring power systems. To enhance measurement redundancy in power systems, employing multiple measurement sources is essential for optimal monitoring. In this regard, this paper, following a brief explanation of the SE concept and its different categories, highlights the significance of Hybrid State Estimation (HSE) techniques, which combine the most used data resources in power systems, traditional Supervisory Control and Data Acquisition (SCADA) system measurements and Phasor Measurement Units (PMUs) measurements. Additionally, recommendations for future research are provided.
dc.identifier.citationEnergies, ISSN: 1996-1073 (Print); 1996-1073 (Online), MDPI AG, 17(19), 4806-4806. doi: 10.3390/en17194806
dc.identifier.doi10.3390/en17194806
dc.identifier.issn1996-1073
dc.identifier.issn1996-1073
dc.identifier.urihttp://hdl.handle.net/10292/18089
dc.languageen
dc.publisherMDPI AG
dc.relation.urihttps://www.mdpi.com/1996-1073/17/19/4806
dc.rights© 2024 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/).
dc.rights.accessrightsOpenAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject02 Physical Sciences
dc.subject09 Engineering
dc.subject33 Built environment and design
dc.subject40 Engineering
dc.subject51 Physical sciences
dc.titleA Comprehensive Review of Hybrid State Estimation in Power Systems: Challenges, Opportunities, and Prospects
dc.typeJournal Article
pubs.elements-id570518
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