Geographic information system and weather based dynamic line rating for generation scheduling

Transmission line ratings influence the economic and security aspects of power system operation, generation and planning. The use of geographical information systems in power system generation and planning activities is gaining importance. This paper proposes a geographical information system and we...

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Main Authors: Ram Jethmalani C. Hemparuva, Sishaj P. Simon, Sundareswaran Kinattingal, Narayana Prasad Padhy
Format: Article
Language:English
Published: Elsevier 2018-08-01
Series:Engineering Science and Technology, an International Journal
Online Access:http://www.sciencedirect.com/science/article/pii/S2215098617315756
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author Ram Jethmalani C. Hemparuva
Sishaj P. Simon
Sundareswaran Kinattingal
Narayana Prasad Padhy
author_facet Ram Jethmalani C. Hemparuva
Sishaj P. Simon
Sundareswaran Kinattingal
Narayana Prasad Padhy
author_sort Ram Jethmalani C. Hemparuva
collection DOAJ
description Transmission line ratings influence the economic and security aspects of power system operation, generation and planning. The use of geographical information systems in power system generation and planning activities is gaining importance. This paper proposes a geographical information system and weather based dynamic line rating (GISWDLR) and investigates its effectiveness in a security constrained unit commitment problem (SCUCP). Here, the dynamic line ratings (DLRs) of conductors at different locations along the transmission line are calculated using the geographic parameters and weather parameters. Thereafter, the minimum value of DLRs at all indentified locations of the transmission line is taken as DLR of the transmission line. Here, binary real coded particle swarm optimization (BRPSO) is employed to solve the SCUCP. The proposed method is validated using the benchmark IEEE 30 bus system. Here, results obtained using the proposed GISWDLR, static line rating (SLR) and conventional UCP are compared. Also, the effectiveness of BRPSO is validated by comparing it with the conventional enhanced priority list based method. Keywords: Geographic information system, Dynamic line rating, IEEE 738 guidelines, Binary real coded particle swarm optimization, Security constrained unit commitment, AC-optimal power flow
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spelling doaj.art-468bb77a67094098b0a04909879419fb2022-12-21T17:49:41ZengElsevierEngineering Science and Technology, an International Journal2215-09862018-08-01214564573Geographic information system and weather based dynamic line rating for generation schedulingRam Jethmalani C. Hemparuva0Sishaj P. Simon1Sundareswaran Kinattingal2Narayana Prasad Padhy3Department of EEE, National Institute of Technology, Puducherry, India; Corresponding author at: Department of EEE, National Institute of Technology, Puducherry, India.Department of EEE, National Institute of Technology, Tiruchirappalli, IndiaDepartment of EEE, National Institute of Technology, Tiruchirappalli, IndiaDepartment of Electrical Engineering, Indian Institute of Technology, Roorkee, IndiaTransmission line ratings influence the economic and security aspects of power system operation, generation and planning. The use of geographical information systems in power system generation and planning activities is gaining importance. This paper proposes a geographical information system and weather based dynamic line rating (GISWDLR) and investigates its effectiveness in a security constrained unit commitment problem (SCUCP). Here, the dynamic line ratings (DLRs) of conductors at different locations along the transmission line are calculated using the geographic parameters and weather parameters. Thereafter, the minimum value of DLRs at all indentified locations of the transmission line is taken as DLR of the transmission line. Here, binary real coded particle swarm optimization (BRPSO) is employed to solve the SCUCP. The proposed method is validated using the benchmark IEEE 30 bus system. Here, results obtained using the proposed GISWDLR, static line rating (SLR) and conventional UCP are compared. Also, the effectiveness of BRPSO is validated by comparing it with the conventional enhanced priority list based method. Keywords: Geographic information system, Dynamic line rating, IEEE 738 guidelines, Binary real coded particle swarm optimization, Security constrained unit commitment, AC-optimal power flowhttp://www.sciencedirect.com/science/article/pii/S2215098617315756
spellingShingle Ram Jethmalani C. Hemparuva
Sishaj P. Simon
Sundareswaran Kinattingal
Narayana Prasad Padhy
Geographic information system and weather based dynamic line rating for generation scheduling
Engineering Science and Technology, an International Journal
title Geographic information system and weather based dynamic line rating for generation scheduling
title_full Geographic information system and weather based dynamic line rating for generation scheduling
title_fullStr Geographic information system and weather based dynamic line rating for generation scheduling
title_full_unstemmed Geographic information system and weather based dynamic line rating for generation scheduling
title_short Geographic information system and weather based dynamic line rating for generation scheduling
title_sort geographic information system and weather based dynamic line rating for generation scheduling
url http://www.sciencedirect.com/science/article/pii/S2215098617315756
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AT sundareswarankinattingal geographicinformationsystemandweatherbaseddynamiclineratingforgenerationscheduling
AT narayanaprasadpadhy geographicinformationsystemandweatherbaseddynamiclineratingforgenerationscheduling