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Reducing the scenarios of network topology changes for adaptive coordination of overcurrent relays using hybrid GA-LP.

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Title: Reducing the scenarios of network topology changes for adaptive coordination of overcurrent relays using hybrid GA-LP.
Authors: Chabanloo, Reza Mohammadi1 re_mohammadi@sbu.ac.ir, Safari, Mohsen1, Roshanagh, Reza Gholizadeh2
Source: IET Generation, Transmission & Distribution (Wiley-Blackwell). 2018, Vol. 12 Issue 21, p5879-5890. 12p.
Subjects: Electric network topology, Overcurrent protection, Electric relays, Linear programming, Algorithms
Abstract: In this study, using the concept of setting groups (SGs), an adaptive protection scheme is proposed to increase the reliability of the system. Connection and disconnection of switches and distributed generators result in various scenarios for network topology changes. A hybrid genetic algorithm (GA) and linear programming (LP) method is utilised to solve the problem, where the GA, in a near-optimal manner, classifies the scenarios of the network topology changes into a limited number of SGs and the LP algorithm optimally coordinates the overcurrent relays within the SGs. Simulations are performed on a radial distribution network and a meshed distribution network. Although by increasing the number of SGs the average operating time of the relays is decreased, the number of changes in the relay settings is increased. Therefore, the multiobjective optimisation algorithm is used to determine, the desired number of SGs. The results show the efficiency of the proposed adaptive protection scheme. [ABSTRACT FROM AUTHOR]
Copyright of IET Generation, Transmission & Distribution (Wiley-Blackwell) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 133239831
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Reducing the scenarios of network topology changes for adaptive coordination of overcurrent relays using hybrid GA-LP.
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  Data: <searchLink fieldCode="AR" term="%22Chabanloo%2C+Reza+Mohammadi%22">Chabanloo, Reza Mohammadi</searchLink><relatesTo>1</relatesTo><i> re_mohammadi@sbu.ac.ir</i><br /><searchLink fieldCode="AR" term="%22Safari%2C+Mohsen%22">Safari, Mohsen</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Roshanagh%2C+Reza+Gholizadeh%22">Roshanagh, Reza Gholizadeh</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22IET+Generation%2C+Transmission+%26+Distribution+%28Wiley-Blackwell%29%22">IET Generation, Transmission & Distribution (Wiley-Blackwell)</searchLink>. 2018, Vol. 12 Issue 21, p5879-5890. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Electric+network+topology%22">Electric network topology</searchLink><br /><searchLink fieldCode="DE" term="%22Overcurrent+protection%22">Overcurrent protection</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+relays%22">Electric relays</searchLink><br /><searchLink fieldCode="DE" term="%22Linear+programming%22">Linear programming</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In this study, using the concept of setting groups (SGs), an adaptive protection scheme is proposed to increase the reliability of the system. Connection and disconnection of switches and distributed generators result in various scenarios for network topology changes. A hybrid genetic algorithm (GA) and linear programming (LP) method is utilised to solve the problem, where the GA, in a near-optimal manner, classifies the scenarios of the network topology changes into a limited number of SGs and the LP algorithm optimally coordinates the overcurrent relays within the SGs. Simulations are performed on a radial distribution network and a meshed distribution network. Although by increasing the number of SGs the average operating time of the relays is decreased, the number of changes in the relay settings is increased. Therefore, the multiobjective optimisation algorithm is used to determine, the desired number of SGs. The results show the efficiency of the proposed adaptive protection scheme. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of IET Generation, Transmission & Distribution (Wiley-Blackwell) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1049/iet-gtd.2018.5810
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 5879
    Subjects:
      – SubjectFull: Electric network topology
        Type: general
      – SubjectFull: Overcurrent protection
        Type: general
      – SubjectFull: Electric relays
        Type: general
      – SubjectFull: Linear programming
        Type: general
      – SubjectFull: Algorithms
        Type: general
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      – TitleFull: Reducing the scenarios of network topology changes for adaptive coordination of overcurrent relays using hybrid GA-LP.
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              Text: 2018
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