Publication
An Optimization-Based Topology Error Detection Method for Power System State Estimation
| dc.contributor.author | Srivastava, Ankur | |
| dc.contributor.author | Chakrabarti, Saikat | |
| dc.contributor.author | Soares, João | |
| dc.contributor.author | Singh, Sri Niwas | |
| dc.date.accessioned | 2023-02-02T12:39:02Z | |
| dc.date.available | 2023-02-02T12:39:02Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | The paper presents an optimization-based method for topology error detection in power systems. The method utilizes the residual analysis in state estimation and minimization of normalized measurement residual, with the application of matrix inverse lemma. The work considers a hybrid measurement configuration, i.e., both SCADA and PMU measurements, for the test systems studied. The proposed method is implemented on the TOMLAB optimization platform under the mixed integer nonlinear programming category. The proposed method has been applied and tested on standard IEEE 14-bus and IEEE 118-bus test systems. The method is designed to be computationally efficient and produces accurate results for single topology error detection. The results from the IEEE 14-bus and IEEE 118-bus test systems have shown that the proposed method produces 100% and 94% accurate results for single topology error detection, respectively. The proposed method performs robustly with the increased measurement uncertainties and inclusion of bad data or gross errors in the measurements. The method has superiority in practical implementation over the meta-heuristics-based optimization methods. The proposed method can be easily implemented and could have potential application in the energy management systems of the power system control center. | pt_PT |
| dc.description.sponsorship | This work was supported by the Department of Science and Technology, India, and Central Power Research Institute, India under project no. DST/EE/2014250 and CPRI/EE/2014091, respectively. Joao Soares acknowledge the work facilities and equipment provided by GECAD research centre funded with FEDER Funds through COMPETE program and from National Funds through (FCT) under UIDB/00760/2020 and CEECIND/02814/2017 to execute the work. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.doi | 10.1016/j.epsr.2022.107914 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.22/22115 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Elsevier | pt_PT |
| dc.relation | CEECIND/02814/2017 | pt_PT |
| dc.relation | Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development | |
| dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0378779622001444?via%3Dihub | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | pt_PT |
| dc.subject | Network topology | pt_PT |
| dc.subject | Optimization | pt_PT |
| dc.subject | Phasor measurement units | pt_PT |
| dc.subject | State estimation | pt_PT |
| dc.subject | Topology error detection | pt_PT |
| dc.title | An Optimization-Based Topology Error Detection Method for Power System State Estimation | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00760%2F2020/PT | |
| oaire.citation.startPage | 107914 | pt_PT |
| oaire.citation.title | Electric Power Systems Research | pt_PT |
| oaire.citation.volume | 209 | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| person.familyName | Soares | |
| person.givenName | João | |
| person.identifier | 1043580 | |
| person.identifier.ciencia-id | 1612-8EA8-D0E8 | |
| person.identifier.orcid | 0000-0002-4172-4502 | |
| person.identifier.scopus-author-id | 35436109600 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | closedAccess | pt_PT |
| rcaap.type | article | pt_PT |
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