Performance Analysis of an Electric Vehicle Fleet for Automatic Generation Control of a Multi Area Multi Source Power System Using a Cascaded Controller Tuned with a Recent Mayfly Optimization Algorithm

This paper study the effect of plug in electric vehicle in the automatic generation control of a multi area power system which includes conventional reheat thermal system in all the areas and the others are renewable energy sources like wind turbine generator, solar photovoltaic hydropower plant, bi...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:2023 IEEE 3rd International Conference on Sustainable Energy and Future Electric Transportation (SEFET) S. 1 - 6
Hauptverfasser: Lalngaihawma, Samuel, Datta, Subir
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 09.08.2023
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Abstract This paper study the effect of plug in electric vehicle in the automatic generation control of a multi area power system which includes conventional reheat thermal system in all the areas and the others are renewable energy sources like wind turbine generator, solar photovoltaic hydropower plant, biogas turbine generator, biodiesel engine generator and geothermal power plant. A cascaded Tilt integral derivative with filter (TIDN) and fractional order Tilt integral (FOTI) controller is proposed for the AGC system whose control parameters are tuned with recent Mayfly optimization algorithm. Comparative analysis of the proposed TIDN-FOTI controllers with I, PID and TID controller is done which shows the superiority of the proposed controller tuned with MOA in improving the system dynamics. The effect of electric vehicles (EV) in improving system dynamics is also analyzed.
AbstractList This paper study the effect of plug in electric vehicle in the automatic generation control of a multi area power system which includes conventional reheat thermal system in all the areas and the others are renewable energy sources like wind turbine generator, solar photovoltaic hydropower plant, biogas turbine generator, biodiesel engine generator and geothermal power plant. A cascaded Tilt integral derivative with filter (TIDN) and fractional order Tilt integral (FOTI) controller is proposed for the AGC system whose control parameters are tuned with recent Mayfly optimization algorithm. Comparative analysis of the proposed TIDN-FOTI controllers with I, PID and TID controller is done which shows the superiority of the proposed controller tuned with MOA in improving the system dynamics. The effect of electric vehicles (EV) in improving system dynamics is also analyzed.
Author Lalngaihawma, Samuel
Datta, Subir
Author_xml – sequence: 1
  givenname: Samuel
  surname: Lalngaihawma
  fullname: Lalngaihawma, Samuel
  email: samuelchenkual05@gmail.com
  organization: Mizoram University,Department of Electrical Engineering,Aizawl,Mizoram,796004
– sequence: 2
  givenname: Subir
  surname: Datta
  fullname: Datta, Subir
  email: subirnerist@gmail.com
  organization: Mizoram University,Department of Electrical Engineering,Aizawl,Mizoram,796004
BookMark eNo1kE1uwjAQhV2pXfSHG3QxF4DG-fcyioBWAoEKdIscZwyWHBs5Rig9Yk9Vq5TVPM188570nsi9sQYJARpNKI3Y2wZnuM2KMkkncRQnExrFaZZG7I6MWMHKJIsSylgRP5KfNTppXceNQKgM10OverASuIGpRuGdEvCFRyU0wkwjegg4VGdvO-7DbY4GXVDWQG2Nd1b_fcPyrL2CyuFNbuzZhYy1vaCDzdB77GDXK3MIcM17wVtsbxY6INuzCYuL8scAfKJA42HJB6kHWJ286tT3NbXSB-sC1b2QB8l1j6P_-Ux2s-m2fh8vVvOPulqMFaXMj_OG0jZPRCqRNWWDsuBFFhc8o63MWt7IgspIpIy1kvESseBlmTeyzZscmeA8eSavV1-FiPuTUx13w_5WcfILwUl8jQ
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/SeFeT57834.2023.10245409
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
EISBN 9798350319972
EndPage 6
ExternalDocumentID 10245409
Genre orig-research
GroupedDBID 6IE
6IL
CBEJK
RIE
RIL
ID FETCH-LOGICAL-i119t-6b11d63c4fe9b8bef7a7527a51df5dabf71f0c499df9a8ee7a886bfd6b6e9caa3
IEDL.DBID RIE
IngestDate Wed Sep 27 05:40:30 EDT 2023
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i119t-6b11d63c4fe9b8bef7a7527a51df5dabf71f0c499df9a8ee7a886bfd6b6e9caa3
PageCount 6
ParticipantIDs ieee_primary_10245409
PublicationCentury 2000
PublicationDate 2023-Aug.-9
PublicationDateYYYYMMDD 2023-08-09
PublicationDate_xml – month: 08
  year: 2023
  text: 2023-Aug.-9
  day: 09
PublicationDecade 2020
PublicationTitle 2023 IEEE 3rd International Conference on Sustainable Energy and Future Electric Transportation (SEFET)
PublicationTitleAbbrev SEFET
PublicationYear 2023
Publisher IEEE
Publisher_xml – name: IEEE
Score 1.840745
Snippet This paper study the effect of plug in electric vehicle in the automatic generation control of a multi area power system which includes conventional reheat...
SourceID ieee
SourceType Publisher
StartPage 1
SubjectTerms Automatic generation control
cascade controller
electric vehicle
Electric vehicles
Generators
Heuristic algorithms
mayfly optimization algorithm
renewable energy source
System dynamics
Transportation
Wind turbines
Title Performance Analysis of an Electric Vehicle Fleet for Automatic Generation Control of a Multi Area Multi Source Power System Using a Cascaded Controller Tuned with a Recent Mayfly Optimization Algorithm
URI https://ieeexplore.ieee.org/document/10245409
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV09T8MwELWgYmACRBHfuoE1pWlcJx6rioqBj0oU1K0622eo1DaoTZD6F_lV2E4DYmBgs6LnRNE5tnN-7x1jVz6oHezwKEk4RlwYEymJXivDtT8140IHofBd-vCQjcdyuBGrBy0MEQXyGbV8M5zlm1yXPlXmvvCON4yT22w7TUUl1qrZOW15_UQDGnV95YiWLwrequG_CqeEdWOw988n7rPmjwIPht9rywHbosUh-xz-sPyhdhOB3AIu4CaUs5lqeKE3PxTABYQKcHDolUUejFmh8pj2oYB-RVEPvSGocKHn9o-b5lNI6cPQl1CDytQcArnAgfu48px6U99i5iCj0s3W4HO6DuB2ou6l4B7XdraGRzcnzTdiT-jNXvOlQ82b7HlwM-rfRptaDNE0jmURCRXHRiSaW5IqU2RTTLudFLuxsV2DyqaxbWv3-2SsxIwoxSwTyhqhBEmNmByxxiJf0DED1LHMtFK8rQzXIsFE6kSiQpIJJ5QnrOkDMXmv7DYmdQxO_7h-xnZ9uAMrT56zRrEs6YLt6I9iulpehkHyBTUUxSs
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1dS8MwFA1-gT6pOPHb--Br57pmbfM4hmPinINN2du4SW50MFeZneBf9FeZZK3DBx98C-WmpZw0SW_OuYexKwdqHes8iCKOAY-1DqRAp5Xhyp2a8Vh5oXA36fXS0Uj0C7G618IQkSefUdU1_Vm-ztTCpcrsF153BePEOtt01lmFXKvk59TE9YDaNGw474iqswWvlh1-Waf4laO9-89n7rHKSoMH_Z_VZZ-t0eyAffVXPH8o64lAZgBncOMNbSYKnujFDQawkFAONhyaizzzpVlhWWXagQGtJUnd9wavw4Wm3UEWzYFP6kPfmajBsqw5eHqBDW7hu2PV6_IWUxsyXNj5GlxW1wbYvah9KbjHTzP9hAc7K70Wck9oTp-zuY16rbDH9s2w1QkKN4ZgEoYiD2IZhjqOFDckZCrJJJg06gk2Qm0aGqVJQlNT9gdKG4EpUYJpGkujYxmTUIjRIduYZTM6YoAqFKmSktek5iqOMBIqEiiRRMQJxTGrOCDGb8uCG-MSg5M_rl-y7c7wvjvu3vbuTtmOg95z9MQZ28jnCzpnW-ojn7zPL_yA-QaYbsh0
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2023+IEEE+3rd+International+Conference+on+Sustainable+Energy+and+Future+Electric+Transportation+%28SEFET%29&rft.atitle=Performance+Analysis+of+an+Electric+Vehicle+Fleet+for+Automatic+Generation+Control+of+a+Multi+Area+Multi+Source+Power+System+Using+a+Cascaded+Controller+Tuned+with+a+Recent+Mayfly+Optimization+Algorithm&rft.au=Lalngaihawma%2C+Samuel&rft.au=Datta%2C+Subir&rft.date=2023-08-09&rft.pub=IEEE&rft.spage=1&rft.epage=6&rft_id=info:doi/10.1109%2FSeFeT57834.2023.10245409&rft.externalDocID=10245409