Loading…

Synchronous Machines' Inertia Estimation Through PMU Data-Driven

Numerous techniques have been implemented to calculate the synchronous machines' inertia and accurately assess it. Many use machine model simulation and offer a means of knowing the machines' inertia. This paper provides a novel strategy for estimating the synchronous machine's inerti...

Full description

Saved in:

Bibliographic Details
Main Authors:	Sanchez, A., Ramirez, J.M, Paternina, M.R.A., Lugnani, L., Munguia, F.E., Zamora-Mendez, A., Rodriguez, J.R., Ramos-Guerrero, Manuel
Format:	Conference Proceeding
Language:	English
Subjects:	Estimation Frequency Inertia estimation Operating systems Phasor measurement units PMU Power measurement Power system stability Proposals Real-time estimation Stability analysis
Online Access:	Request full text
Tags:	Add Tag No Tags, Be the first to tag this record!

cited_by
cites
container_end_page	7
container_issue
container_start_page	1
container_title
container_volume
creator	Sanchez, A. Ramirez, J.M Paternina, M.R.A. Lugnani, L. Munguia, F.E. Zamora-Mendez, A. Rodriguez, J.R. Ramos-Guerrero, Manuel
description	Numerous techniques have been implemented to calculate the synchronous machines' inertia and accurately assess it. Many use machine model simulation and offer a means of knowing the machines' inertia. This paper provides a novel strategy for estimating the synchronous machine's inertia online using PMU measurements. This proposal is based on the Teager-Kaiser energy operator used to identify the time of disturbances and the ARMAX method for estimating inertia.
doi_str_mv	10.1109/NAPS58826.2023.10318755
format	conference_proceeding
fullrecord	<record><control><sourceid>ieee_CHZPO</sourceid><recordid>TN_cdi_ieee_primary_10318755</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>10318755</ieee_id><sourcerecordid>10318755</sourcerecordid><originalsourceid>FETCH-LOGICAL-i204t-f3b13e05031d44c7ae69f96c613ddedc8ae64c04f7d7ee017c5cd4d68693c0cf3</originalsourceid><addsrcrecordid>eNo1T01LAzEUjIJgqfsPBHPztOvL5vtmaasWWi20BW8lJlk3olnZbIX-eyPq6c0Mw8w8hK4IVISAvnmcrDdcqVpUNdS0IkCJkpyfoEJLrSjPnIOWp2hUK0pLAPp8joqU3iDDGhhhZIRuN8do276L3SHhlbFtiD5d40X0_RAMnqchfJghdBFvs-vw2uL1aodnZjDlrA9fPl6gs8a8J1_83THa3c2304dy-XS_mE6WZchVQ9nQF0I9_IxyjFlpvNCNFlYQ6px3VmWBWWCNdNJ7INJy65gTSmhqwTZ0jC5_c4P3fv_Z51n9cf__NP0GH4lL3A</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Synchronous Machines' Inertia Estimation Through PMU Data-Driven</title><source>IEEE Xplore All Conference Series</source><creator>Sanchez, A. ; Ramirez, J.M ; Paternina, M.R.A. ; Lugnani, L. ; Munguia, F.E. ; Zamora-Mendez, A. ; Rodriguez, J.R. ; Ramos-Guerrero, Manuel</creator><creatorcontrib>Sanchez, A. ; Ramirez, J.M ; Paternina, M.R.A. ; Lugnani, L. ; Munguia, F.E. ; Zamora-Mendez, A. ; Rodriguez, J.R. ; Ramos-Guerrero, Manuel</creatorcontrib><description>Numerous techniques have been implemented to calculate the synchronous machines' inertia and accurately assess it. Many use machine model simulation and offer a means of knowing the machines' inertia. This paper provides a novel strategy for estimating the synchronous machine's inertia online using PMU measurements. This proposal is based on the Teager-Kaiser energy operator used to identify the time of disturbances and the ARMAX method for estimating inertia.</description><identifier>EISSN: 2833-003X</identifier><identifier>EISBN: 9798350315097</identifier><identifier>DOI: 10.1109/NAPS58826.2023.10318755</identifier><language>eng</language><publisher>IEEE</publisher><subject>Estimation ; Frequency ; Inertia estimation ; Operating systems ; Phasor measurement units ; PMU ; Power measurement ; Power system stability ; Proposals ; Real-time estimation ; Stability analysis</subject><ispartof>2023 North American Power Symposium (NAPS), 2023, p.1-7</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10318755$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,27925,54555,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/10318755$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Sanchez, A.</creatorcontrib><creatorcontrib>Ramirez, J.M</creatorcontrib><creatorcontrib>Paternina, M.R.A.</creatorcontrib><creatorcontrib>Lugnani, L.</creatorcontrib><creatorcontrib>Munguia, F.E.</creatorcontrib><creatorcontrib>Zamora-Mendez, A.</creatorcontrib><creatorcontrib>Rodriguez, J.R.</creatorcontrib><creatorcontrib>Ramos-Guerrero, Manuel</creatorcontrib><title>Synchronous Machines' Inertia Estimation Through PMU Data-Driven</title><title>2023 North American Power Symposium (NAPS)</title><addtitle>NAPS</addtitle><description>Numerous techniques have been implemented to calculate the synchronous machines' inertia and accurately assess it. Many use machine model simulation and offer a means of knowing the machines' inertia. This paper provides a novel strategy for estimating the synchronous machine's inertia online using PMU measurements. This proposal is based on the Teager-Kaiser energy operator used to identify the time of disturbances and the ARMAX method for estimating inertia.</description><subject>Estimation</subject><subject>Frequency</subject><subject>Inertia estimation</subject><subject>Operating systems</subject><subject>Phasor measurement units</subject><subject>PMU</subject><subject>Power measurement</subject><subject>Power system stability</subject><subject>Proposals</subject><subject>Real-time estimation</subject><subject>Stability analysis</subject><issn>2833-003X</issn><isbn>9798350315097</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2023</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1T01LAzEUjIJgqfsPBHPztOvL5vtmaasWWi20BW8lJlk3olnZbIX-eyPq6c0Mw8w8hK4IVISAvnmcrDdcqVpUNdS0IkCJkpyfoEJLrSjPnIOWp2hUK0pLAPp8joqU3iDDGhhhZIRuN8do276L3SHhlbFtiD5d40X0_RAMnqchfJghdBFvs-vw2uL1aodnZjDlrA9fPl6gs8a8J1_83THa3c2304dy-XS_mE6WZchVQ9nQF0I9_IxyjFlpvNCNFlYQ6px3VmWBWWCNdNJ7INJy65gTSmhqwTZ0jC5_c4P3fv_Z51n9cf__NP0GH4lL3A</recordid><startdate>20231015</startdate><enddate>20231015</enddate><creator>Sanchez, A.</creator><creator>Ramirez, J.M</creator><creator>Paternina, M.R.A.</creator><creator>Lugnani, L.</creator><creator>Munguia, F.E.</creator><creator>Zamora-Mendez, A.</creator><creator>Rodriguez, J.R.</creator><creator>Ramos-Guerrero, Manuel</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20231015</creationdate><title>Synchronous Machines' Inertia Estimation Through PMU Data-Driven</title><author>Sanchez, A. ; Ramirez, J.M ; Paternina, M.R.A. ; Lugnani, L. ; Munguia, F.E. ; Zamora-Mendez, A. ; Rodriguez, J.R. ; Ramos-Guerrero, Manuel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i204t-f3b13e05031d44c7ae69f96c613ddedc8ae64c04f7d7ee017c5cd4d68693c0cf3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Estimation</topic><topic>Frequency</topic><topic>Inertia estimation</topic><topic>Operating systems</topic><topic>Phasor measurement units</topic><topic>PMU</topic><topic>Power measurement</topic><topic>Power system stability</topic><topic>Proposals</topic><topic>Real-time estimation</topic><topic>Stability analysis</topic><toplevel>online_resources</toplevel><creatorcontrib>Sanchez, A.</creatorcontrib><creatorcontrib>Ramirez, J.M</creatorcontrib><creatorcontrib>Paternina, M.R.A.</creatorcontrib><creatorcontrib>Lugnani, L.</creatorcontrib><creatorcontrib>Munguia, F.E.</creatorcontrib><creatorcontrib>Zamora-Mendez, A.</creatorcontrib><creatorcontrib>Rodriguez, J.R.</creatorcontrib><creatorcontrib>Ramos-Guerrero, Manuel</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Sanchez, A.</au><au>Ramirez, J.M</au><au>Paternina, M.R.A.</au><au>Lugnani, L.</au><au>Munguia, F.E.</au><au>Zamora-Mendez, A.</au><au>Rodriguez, J.R.</au><au>Ramos-Guerrero, Manuel</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Synchronous Machines' Inertia Estimation Through PMU Data-Driven</atitle><btitle>2023 North American Power Symposium (NAPS)</btitle><stitle>NAPS</stitle><date>2023-10-15</date><risdate>2023</risdate><spage>1</spage><epage>7</epage><pages>1-7</pages><eissn>2833-003X</eissn><eisbn>9798350315097</eisbn><abstract>Numerous techniques have been implemented to calculate the synchronous machines' inertia and accurately assess it. Many use machine model simulation and offer a means of knowing the machines' inertia. This paper provides a novel strategy for estimating the synchronous machine's inertia online using PMU measurements. This proposal is based on the Teager-Kaiser energy operator used to identify the time of disturbances and the ARMAX method for estimating inertia.</abstract><pub>IEEE</pub><doi>10.1109/NAPS58826.2023.10318755</doi><tpages>7</tpages></addata></record>
fulltext	fulltext_linktorsrc
identifier	EISSN: 2833-003X
ispartof	2023 North American Power Symposium (NAPS), 2023, p.1-7
issn	2833-003X
language	eng
recordid	cdi_ieee_primary_10318755
source	IEEE Xplore All Conference Series
subjects	Estimation Frequency Inertia estimation Operating systems Phasor measurement units PMU Power measurement Power system stability Proposals Real-time estimation Stability analysis
title	Synchronous Machines' Inertia Estimation Through PMU Data-Driven
url	http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T20%3A44%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_CHZPO&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Synchronous%20Machines'%20Inertia%20Estimation%20Through%20PMU%20Data-Driven&rft.btitle=2023%20North%20American%20Power%20Symposium%20(NAPS)&rft.au=Sanchez,%20A.&rft.date=2023-10-15&rft.spage=1&rft.epage=7&rft.pages=1-7&rft.eissn=2833-003X&rft_id=info:doi/10.1109/NAPS58826.2023.10318755&rft.eisbn=9798350315097&rft_dat=%3Cieee_CHZPO%3E10318755%3C/ieee_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i204t-f3b13e05031d44c7ae69f96c613ddedc8ae64c04f7d7ee017c5cd4d68693c0cf3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=10318755&rfr_iscdi=true