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A Compensated Distributed Line Decoupling approach for real time applications

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Title: A Compensated Distributed Line Decoupling approach for real time applications
Authors: Mohamed Ahmed, Babikir
Committee Members: Karrar, Abdelrahman A.; Eltom, Ahmed H.; Kobet, Gary L.; Disfani, Vahid R.; College of Engineering and Computer Science
Summary: This work proposes a new method, called the Compensated Distributed Line Decoupling (CDLD), to decouple distribution networks among parallel processing cores in a real-time multi-core environment. Due to the short length of distribution lines, decoupling the network for real-time processing is challenging. Previous studies proposed the Stublines and State Space Nodal (SSN) solvers but both approaches have limitations and the proposed method addresses these limitations to implement improvements. Specifically, the CDLD method can be used as an enhanced Stubline decoupling, improving on its accuracy and transient response, or it can be combined with the SSN solver to improve its computational performance and remove bottleneck issues. The CDLD method was tested on three IEEE systems in real-time, and significant improvement was realized in network response and computational performance compared to the prevailing methods. The combined SSN-CDLD method proved to be the most promising approach for network decoupling.
URL: https://scholar.utc.edu/theses/643
Database: OpenDissertations
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  Availability: 0
Header DbId: ddu
DbLabel: OpenDissertations
An: ddu.oai.scholar.utc.edu.theses.1802
AccessLevel: 6
PubType: Dissertation/ Thesis
PubTypeId: dissertation
PreciseRelevancyScore: 0
IllustrationInfo
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  Label: Title
  Group: Ti
  Data: A Compensated Distributed Line Decoupling approach for real time applications
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Mohamed+Ahmed%2C+Babikir%22">Mohamed Ahmed, Babikir</searchLink>
– Name: Author
  Label: Committee Members
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  Data: <searchLink fieldCode="CO" term="%22Karrar%2C+Abdelrahman+A%2E%22">Karrar, Abdelrahman A.</searchLink>; <searchLink fieldCode="CO" term="%22Eltom%2C+Ahmed+H%2E%22">Eltom, Ahmed H.</searchLink>; <searchLink fieldCode="CO" term="%22Kobet%2C+Gary+L%2E%22">Kobet, Gary L.</searchLink>; <searchLink fieldCode="CO" term="%22Disfani%2C+Vahid+R%2E%22">Disfani, Vahid R.</searchLink>; <searchLink fieldCode="CO" term="%22College+of+Engineering+and+Computer+Science%22">College of Engineering and Computer Science</searchLink>
– Name: Abstract
  Label: Summary
  Group: Ab
  Data: This work proposes a new method, called the Compensated Distributed Line Decoupling (CDLD), to decouple distribution networks among parallel processing cores in a real-time multi-core environment. Due to the short length of distribution lines, decoupling the network for real-time processing is challenging. Previous studies proposed the Stublines and State Space Nodal (SSN) solvers but both approaches have limitations and the proposed method addresses these limitations to implement improvements. Specifically, the CDLD method can be used as an enhanced Stubline decoupling, improving on its accuracy and transient response, or it can be combined with the SSN solver to improve its computational performance and remove bottleneck issues. The CDLD method was tested on three IEEE systems in real-time, and significant improvement was realized in network response and computational performance compared to the prevailing methods. The combined SSN-CDLD method proved to be the most promising approach for network decoupling.
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Parallel processing (Electronic computers)
        Type: general
      – SubjectFull: Real-time data processing
        Type: general
    Titles:
      – TitleFull: A Compensated Distributed Line Decoupling approach for real time applications
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Mohamed Ahmed, Babikir
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 05
              Type: published
              Y: 2020
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