A BPSO based collaborative management platform for multi-source data security in power grids.

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Title: A BPSO based collaborative management platform for multi-source data security in power grids.
Authors: Wan, Yifei1 (AUTHOR), Huang, Qi1 (AUTHOR), Wu, Yin1 (AUTHOR) kangchaokongaee@163.com, Li, Songling2 (AUTHOR)
Source: Journal of Intelligent & Fuzzy Systems. 2024, Vol. 46 Issue 4, p7751-7761. 11p.
Subjects: XML (Extensible Markup Language), Electric power distribution grids, Particle swarm optimization, Data security, Power distribution networks, Software frameworks
Abstract: By designing a digital power grid multi-source data security collaborative management platform, the system configuration problem of the OMS system and the power grid management platform for the main distribution network of the power grid is solved. A design method for the digital power grid multi-source data security collaborative management platform based on discrete particle swarm optimization algorithm is proposed. Based on the design concept of SOA, realize the overall design framework of the platform according to the design method of multi-layer technical system in the business presentation layer, business process and composition layer, service layer, component layer and resource layer, realize the basic layer design of the system management platform through the basic application platform design scheme of XML configuration, implement the query, processing and output representation of the grid's multivariate data using B/S architecture protocol, and use the Spring Framework The platform software architecture is implemented using J2EE technology and multi module component design scheme. The discrete particle swarm optimization algorithm is used for the fusion and scheduling of multi-source data in the digital power grid. The interface design and functional construction of the power grid management platform are implemented in the OMS system of the power grid main distribution network, and the logical model of the transformation project is constructed to achieve platform optimization and construction. Tests have shown that the designed digital power grid multi-source data security collaborative management platform has good human-machine interaction, strong data fusion scheduling ability, reduced resource and subsystem coupling, and supports the flexibility of physical deployment and maintenance. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Intelligent & Fuzzy Systems is the property of Sage Publications Inc. 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.)
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  Data: A BPSO based collaborative management platform for multi-source data security in power grids.
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  Data: <searchLink fieldCode="AR" term="%22Wan%2C+Yifei%22">Wan, Yifei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huang%2C+Qi%22">Huang, Qi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wu%2C+Yin%22">Wu, Yin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> kangchaokongaee@163.com</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Songling%22">Li, Songling</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+%26+Fuzzy+Systems%22">Journal of Intelligent & Fuzzy Systems</searchLink>. 2024, Vol. 46 Issue 4, p7751-7761. 11p.
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  Data: <searchLink fieldCode="DE" term="%22XML+%28Extensible+Markup+Language%29%22">XML (Extensible Markup Language)</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+distribution+grids%22">Electric power distribution grids</searchLink><br /><searchLink fieldCode="DE" term="%22Particle+swarm+optimization%22">Particle swarm optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Data+security%22">Data security</searchLink><br /><searchLink fieldCode="DE" term="%22Power+distribution+networks%22">Power distribution networks</searchLink><br /><searchLink fieldCode="DE" term="%22Software+frameworks%22">Software frameworks</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: By designing a digital power grid multi-source data security collaborative management platform, the system configuration problem of the OMS system and the power grid management platform for the main distribution network of the power grid is solved. A design method for the digital power grid multi-source data security collaborative management platform based on discrete particle swarm optimization algorithm is proposed. Based on the design concept of SOA, realize the overall design framework of the platform according to the design method of multi-layer technical system in the business presentation layer, business process and composition layer, service layer, component layer and resource layer, realize the basic layer design of the system management platform through the basic application platform design scheme of XML configuration, implement the query, processing and output representation of the grid's multivariate data using B/S architecture protocol, and use the Spring Framework The platform software architecture is implemented using J2EE technology and multi module component design scheme. The discrete particle swarm optimization algorithm is used for the fusion and scheduling of multi-source data in the digital power grid. The interface design and functional construction of the power grid management platform are implemented in the OMS system of the power grid main distribution network, and the logical model of the transformation project is constructed to achieve platform optimization and construction. Tests have shown that the designed digital power grid multi-source data security collaborative management platform has good human-machine interaction, strong data fusion scheduling ability, reduced resource and subsystem coupling, and supports the flexibility of physical deployment and maintenance. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Intelligent & Fuzzy Systems is the property of Sage Publications Inc. 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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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3233/JIFS-237849
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 7751
    Subjects:
      – SubjectFull: XML (Extensible Markup Language)
        Type: general
      – SubjectFull: Electric power distribution grids
        Type: general
      – SubjectFull: Particle swarm optimization
        Type: general
      – SubjectFull: Data security
        Type: general
      – SubjectFull: Power distribution networks
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      – SubjectFull: Software frameworks
        Type: general
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      – TitleFull: A BPSO based collaborative management platform for multi-source data security in power grids.
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          Name:
            NameFull: Wan, Yifei
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            NameFull: Huang, Qi
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            NameFull: Wu, Yin
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            NameFull: Li, Songling
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            – D: 01
              M: 04
              Text: 2024
              Type: published
              Y: 2024
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            – TitleFull: Journal of Intelligent & Fuzzy Systems
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