In this article, we propose a generic cyber-physical framework, developed in our laboratory, for smart grid control and monitoring in real-time. Our framework is composed of four key elements: (1) system layer which embeds a physical or emulated power system network, (2) data analysis layer to execute real-time data-driven grid analysis algorithms, (3) backend layer with a generic data storage framework which supports multiple databases with functionally different architectures, and (4) visualization layer where multiple customized or commercially available user interfaces can be deployed concurrently for grid control and monitoring. These four layers are interlinked via bidirectional communication channels. Such a flexible and scalable framework provides a cohesive environment to enhance smart grid situational awareness. We demonstrate the utility of our proposed architecture with several case studies where we estimate a modified IEEE-33 bus distribution network topology entirely from synchrophasor measurements, without any prior knowledge of the grid network, and render the same on visualization platform. Three demonstrations are included with single and multiple system operators having complete and partial measurements.
|Original language||English (US)|
|Title of host publication||2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|State||Published - 2022|
|Event||2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022 - New Orleans, United States|
Duration: Apr 24 2022 → Apr 28 2022
|Name||2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022|
|Conference||2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022|
|Period||4/24/22 → 4/28/22|
Bibliographical noteFunding Information:
The authors acknowledge Advanced Research Projects Agency-Energy (ARPA-E) for supporting this research through the project titled “Rapidly Viable Sustained Grid” via grant no. DE-AR0001016. Author1 was associated with Aelios Tech LLC., a collaborator in this work.
© 2022 IEEE.
- Cyber-physical system
- full stack
- phasor measurement unit
- smart grid
- topology estimation