A Framework to Demonstrate a DNP3 Interface With a CIM-Based Data Integration Platform: Preprint

The contemporary electrical grid is characterized by its complexity and abundance of data. A control-rich environment supported by information and communication technologies within an Advanced Distribution Management System (ADMS) presents a viable and cost-effective option for utility companies aiming to implement advanced real-time analytical schemes for monitoring and remotely controlling distribution feeders. Modular platform-based approaches to distribution operations require a structured framework for acquiring field device measurements, performing analytics, converting the setpoint to the correct protocol, and sending it on the appropriate communications network to the field devices. We present the development and deployment of an application service to integrate an open-source standardsbased platform with an ADMS test bed with field devices using the Distributed Network Protocol (DNP3) for data exchange. The step-by-step procedure for establishing the DNP3-Master service on an open-source distribution platform is outlined, comprehensively explaining the Master setup process. Moreover, sample use case results highlight the capabilities of the DNP3- Master service setup. Results demonstrate the scalability and configurability of the DNP3-Master service, making it adaptable for integration with other relevant applications, thus providing potential opportunities for real-world field trials and real-time assessments.

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OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Published
2024-09-02
Primary Topic
Mathematics, Computing, and Information Processing
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article

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article

A Framework to Demonstrate a DNP3 Interface With a CIM-Based Data Integration Platform: Preprint

Alka Singh
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Mathematics, Computing, and Information Processing
article

A Framework to Demonstrate a DNP3 Interface With a CIM-Based Data Integration Platform: Preprint

Alka Singh
article en

Abstract

The contemporary electrical grid is characterized by its complexity and abundance of data. A control-rich environment supported by information and communication technologies within an Advanced Distribution Management System (ADMS) presents a viable and cost-effective option for utility companies aiming to implement advanced real-time analytical schemes for monitoring and remotely controlling distribution feeders. Modular platform-based approaches to distribution operations require a structured framework for acquiring field device measurements, performing analytics, converting the setpoint to the correct protocol, and sending it on the appropriate communications network to the field devices. We present the development and deployment of an application service to integrate an open-source standardsbased platform with an ADMS test bed with field devices using the Distributed Network Protocol (DNP3) for data exchange. The step-by-step procedure for establishing the DNP3-Master service on an open-source distribution platform is outlined, comprehensively explaining the Master setup process. Moreover, sample use case results highlight the capabilities of the DNP3- Master service setup. Results demonstrate the scalability and configurability of the DNP3-Master service, making it adaptable for integration with other relevant applications, thus providing potential opportunities for real-world field trials and real-time assessments.

OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Association for Symbolic Logic (US)
U.S. Department of Energy, Battelle, Office of Energy Efficiency and Renewable Energy, Office of Electricity, Office of Energy Efficiency, National Renewable Energy Laboratory, Pacific Northwest National Laboratory
Mathematics, Computing, and Information Processing
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A Framework to Demonstrate a DNP3 Interface With a CIM-Based Data Integration Platform: Preprint — Alka Singh · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (2024) | TGRS Research Map | TGRS