A Methodology for Modeling Interoperability for Smart Sensors in Smart Grids

Published

January 1, 2022

Author(s)

Edward Griffor, Kang B. Lee, Gerald J. FitzPatrick, Eugene Song

Abstract

Smart sensors in smart grids provide real-time data and status of bidirectional flows of energy for monitoring, protection, and control of grid operations to improve reliability and resilience. Smart sensor interoperability is major challenges for smart grids. This paper proposes a methodology for modeling interoperability for smart sensors in terms of using interactions. Labeled transition systems and finite state processes provide a model and an approach to measurement and automated assessment of the interoperability of smart sensors in smart grids. A case study is provided to illustrate this model for the interoperability between the Institute of Electrical and Electronics Engineers C37.118 phasor measurement unit-based smart sensors and phasor data concentrators. An expression for interoperability is constructed in the language of labeled transition system and finite state processes that can be executed across smart grid networks. This model yields an approach to measurement and automated assessment of smart sensor interoperability.

Citation

IEEE Transactions on Smart Grid

Volume

13

Pub Type

Journals

Download Paper

https://doi.org/10.1109/TSG.2021.3124490

Local Download

Keywords

Finite State Machine, Finite State Process, Interaction, Interoperability, Labeled Transition System, Measurement and Assessment, Phasor Measurement Unit, Smart Grid, Smart Sensor.

Citation

Griffor, E. , Lee, K. , FitzPatrick, G. and Song, E. (2022), A Methodology for Modeling Interoperability for Smart Sensors in Smart Grids, IEEE Transactions on Smart Grid, [online], https://doi.org/10.1109/TSG.2021.3124490, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=931866 (Accessed April 30, 2025)