Grey wolf optimization algorithm based dynamic security constrained optimal power flow

This paper proposes a Grey Wolf Optimization (GWO) based algorithm to solve Dynamic Security Constrained Optimal Power Flow (DSCOPF) problem. This endeavors to make changes of rescheduling of active power generation in power system subject to both static and dynamic constraints. The GWO algorithm sh...

Full description

Saved in:
Bibliographic Details
Published in:2016 National Power Systems Conference (NPSC) pp. 1 - 6
Main Authors: Teeparthi, Kiran, Vinod Kumar, D.M.
Format: Conference Proceeding
Language:English
Published: IEEE 01.12.2016
Subjects:
dynamic security
Generators
grey wolf optimization
Heuristic algorithms
optimal power flow
Optimization
Power generation
Power system stability
Rotors
Security
stability limits
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract This paper proposes a Grey Wolf Optimization (GWO) based algorithm to solve Dynamic Security Constrained Optimal Power Flow (DSCOPF) problem. This endeavors to make changes of rescheduling of active power generation in power system subject to both static and dynamic constraints. The GWO algorithm shows the capability of improving diversity in search space and also to reach a near global optimal point. To validate the GWO algorithm, simulations are performed on IEEE 30-bus system and New England 39-bus system under different fault clearing times. The results are compared with different evolutionary algorithms reported in the literature.
AbstractList This paper proposes a Grey Wolf Optimization (GWO) based algorithm to solve Dynamic Security Constrained Optimal Power Flow (DSCOPF) problem. This endeavors to make changes of rescheduling of active power generation in power system subject to both static and dynamic constraints. The GWO algorithm shows the capability of improving diversity in search space and also to reach a near global optimal point. To validate the GWO algorithm, simulations are performed on IEEE 30-bus system and New England 39-bus system under different fault clearing times. The results are compared with different evolutionary algorithms reported in the literature.
Author Vinod Kumar, D.M.
Teeparthi, Kiran
Author_xml – sequence: 1
  givenname: Kiran
  surname: Teeparthi
  fullname: Teeparthi, Kiran
  email: kiran.t39@nitw.ac.in
  organization: Dept. of Electrical Engineering, National Institute of Technology Warangal, Telangana, India
– sequence: 2
  givenname: D.M.
  surname: Vinod Kumar
  fullname: Vinod Kumar, D.M.
  email: Vinodkumar.dm@gmail.com
  organization: Dept. of Electrical Engineering, National Institute of Technology Warangal, Telangana, India
BookMark eNotT81KxDAYjKAHXfcBxEteoDVp_o9SdBUWFVy8Ll-bRANtUtJKqU9v0YWBgRlmmLlC5zFFh9ANJSWlxNy9vL3XZUWoLJUWesUZ2hqlKZeKGSO1uEQfu-wWPKfO4zRMoQ8_MIUUMXSfKYfpq8cNjM5iu0ToQ4tH136v-oLbFMcpQ4ir-ZeEDg9pdhn7Ls3X6MJDN7rtiTfo8PhwqJ-K_evuub7fF8GQqaiM59xSoRqjQTEOVCtrNBWWWNdUkhkOviKiBWWZccYrS4A3rNHSSysU26Db_9rgnDsOeV2Rl-PpLPsFKE1P7Q
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/NPSC.2016.7858858
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
IEEE Xplore All Conference Proceedings
IEEE Xplore
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Xplore
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
EISBN 9781467399685
146739968X
EndPage 6
ExternalDocumentID 7858858
Genre orig-research
GroupedDBID 6IE
6IL
CBEJK
RIE
RIL
ID FETCH-LOGICAL-i90t-29f44d157b98a734a187d9815d0deb26394af205ca7d39e9f7d0a4b3b86f6d573
IEDL.DBID RIE
IngestDate Thu Jun 29 18:37:59 EDT 2023
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i90t-29f44d157b98a734a187d9815d0deb26394af205ca7d39e9f7d0a4b3b86f6d573
PageCount 6
ParticipantIDs ieee_primary_7858858
PublicationCentury 2000
PublicationDate 2016-Dec.
PublicationDateYYYYMMDD 2016-12-01
PublicationDate_xml – month: 12
  year: 2016
  text: 2016-Dec.
PublicationDecade 2010
PublicationTitle 2016 National Power Systems Conference (NPSC)
PublicationTitleAbbrev NPSC
PublicationYear 2016
Publisher IEEE
Publisher_xml – name: IEEE
Score 1.6685475
Snippet This paper proposes a Grey Wolf Optimization (GWO) based algorithm to solve Dynamic Security Constrained Optimal Power Flow (DSCOPF) problem. This endeavors to...
SourceID ieee
SourceType Publisher
StartPage 1
SubjectTerms dynamic security
Generators
grey wolf optimization
Heuristic algorithms
optimal power flow
Optimization
Power generation
Power system stability
Rotors
Security
stability limits
Title Grey wolf optimization algorithm based dynamic security constrained optimal power flow
URI https://ieeexplore.ieee.org/document/7858858
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LSwMxEA5t8eBJpRXf5ODRbbO7yU5yLhYPUgoW6a0kO4kWtt3Sh8V_b7K7KIIXIYeQJ0wIM5OZLx8h90zlRiDoSLvwqTYaFil03nHl3pKziqUGKqDwM4zHcjZTkxZ5-MbCWGur5DPbD9Uqlo9lvg9PZQOQQvrSJm2ArMZqNYHKmKnBePIyDLlaWb8Z94swpdIXo5P_7XRKej_AOzr5VilnpGVXXfLq3fhPeigLR0t_wZcNcpLq4q30rv37kgZVhBRrcnm6bSjpaB5sv0AB4Turmbqg68CKRl1RHnpkOnqcDp-ihg4hWii2ixLlOMdYgFFSQ8p1LAGVjAUy9O6xtzS4dgkTuQZMvZgdINPcpEZmLkMB6TnprMqVvSCUyziXLuPagvZLos6ctIkTVhsLiUguSTeIZL6uP7yYN9K4-rv5mhwHqdc5Hjeks9vs7S05yj92i-3mrjqlL-lomNk
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LSwMxEB5qFfSk0opvc_DottndZJOci6ViXQoW6a0km0QL227pw-K_N9kuFcGLkEPIEyaEmcnMlw_gHotMUc1kIK3_VFsrHAhtneNKnCVnBI4VK4HCfZamfDQSgxo87LAwxpgy-cy0fLWM5esiW_unsjbjlLuyB_ueOatCa1WhyhCLdjp47fhsraRVjfxFmVJqjO7x__Y6geYP9A4NdkrlFGpm1oA358h_oU2RW1S4Kz6tsJNI5u-Fc-4_psgrI430ll4eLStSOpR568-TQLjOcqbM0dzzoiGbF5smDLuPw04vqAgRgonAqyASlhAdUqYElywmMuRMCx5SjbVzkJ2tQaSNMM0k07ETtGUaS6JixRObaMriM6jPipk5B0R4mHGbEGmYdEtqmVhuIkuNVIZFNLqAhhfJeL798mJcSePy7-Y7OOwNX_rj_lP6fAVH_gS2GR_XUF8t1uYGDrLP1WS5uC1P7BsLsJwi
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=2016+National+Power+Systems+Conference+%28NPSC%29&rft.atitle=Grey+wolf+optimization+algorithm+based+dynamic+security+constrained+optimal+power+flow&rft.au=Teeparthi%2C+Kiran&rft.au=Vinod+Kumar%2C+D.M.&rft.date=2016-12-01&rft.pub=IEEE&rft.spage=1&rft.epage=6&rft_id=info:doi/10.1109%2FNPSC.2016.7858858&rft.externalDocID=7858858