Admittance Matrix Validation for Power Distribution System Models Using a Networked Equipment Model Framework Article Swipe
Shiva Poudel
,
Gary D. Black
,
Eric Stephan
,
Andrew P. Reiman
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/access.2022.3144124
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/access.2022.3144124
The evolving nature of electric power distribution systems is motivating the development of advanced applications for utility planning, operation, management, and control. These model-based applications interact with multiple subsystems within software platforms referred to as advanced distribution management systems (ADMS). Recently, CIM-based models have been used to enable data model standardization across several entities. However, distribution system models are error-prone and model validation is challenging due to: (1) the need for considerable effort and time to maintain the network models, (2) delays in model updating due to the evolving nature of the real-world systems that models are derived from, and (3) inevitable human errors in the process which are difficult to detect. In this paper, we extend a model validation application from our prior work referred to as the Model Validator (MV) to derive and validate a system admittance matrix from a CIM model. First, different modules are introduced for computing device-level primitive admittance matrices from a CIM model. Furthermore, these individual primitive admittance matrices are then validated against the appropriate entries in the full system admittance matrix. In addition, we also validate the overall system admittance matrix for checking the gaps in coverage or extra elements that are not expected. The MV application is developed and integrated with an open-source standards-based platform for ADMS application development, GridAPPS-D. The effectiveness of the proposed application is demonstrated on six different test cases: four IEEE feeders, an EPRI circuit, and a PNNL taxonomy feeder.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2022.3144124
- https://ieeexplore.ieee.org/ielx7/6287639/9668973/09684403.pdf
- OA Status
- gold
- Cited By
- 6
- References
- 42
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4205999145
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4205999145Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/access.2022.3144124Digital Object Identifier
- Title
-
Admittance Matrix Validation for Power Distribution System Models Using a Networked Equipment Model FrameworkWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-01Full publication date if available
- Authors
-
Shiva Poudel, Gary D. Black, Eric Stephan, Andrew P. ReimanList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2022.3144124Publisher landing page
- PDF URL
-
https://ieeexplore.ieee.org/ielx7/6287639/9668973/09684403.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://ieeexplore.ieee.org/ielx7/6287639/9668973/09684403.pdfDirect OA link when available
- Concepts
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Computer science, Admittance parameters, Distributed computing, Electric power system, Data modeling, Data mining, Common Information Model (electricity), Reliability engineering, Power (physics), Software engineering, Engineering, Voltage, Physics, Electrical engineering, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 2, 2023: 2, 2022: 1Per-year citation counts (last 5 years)
- References (count)
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42Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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