Related Experiment Video
Updated: Jul 11, 2025
06:04
Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
Published on: February 14, 2025
438
A Methodology for Modeling Interoperability of Smart Sensors in Smart Grids
Eugene Y Song1, Gerald J FitzPatrick2, Kang B Lee2
1Smart Grid and Cyber-Physical Systems Program Office, National Institute of Standards and Technology, Gaithersburg, MD 20899 USA.
IEEE Transactions on Smart Grid
|November 15, 2023
Summary
This study introduces a new method to model smart sensor interactions in smart grids, enabling automated assessment and resolution of data interoperability issues for improved grid reliability.
Area of Science:
- Electrical Engineering
- Computer Science
- Information Systems
Background:
- Smart sensors are crucial for real-time monitoring in smart grids, enhancing reliability and resilience.
- Interoperability of data from these smart sensors presents a significant challenge for effective grid management.
Purpose of the Study:
- To propose a novel methodology for modeling smart sensor interoperability in smart grids.
- To enable quantitative and automated assessment and resolution of interoperability issues.
Main Methods:
- Utilized labeled transition systems and finite state processes to model sensor interactions.
- Developed a generic interoperability model for synchronous message passing.
- Applied the methodology to model interoperability between IEEE C37.118 phasor measurement units and phasor data concentrators.
Main Results:
- The proposed methodology allows for quantitative and automated measurement and assessment of smart sensor interoperability.
- A case study demonstrated successful modeling of interoperability between specific smart grid components.
- Identified a pathway to address and resolve existing interoperability challenges.
Conclusions:
- The developed methodology provides a robust framework for ensuring smart sensor data interoperability in smart grids.
- This approach can be extended to various communication protocols, promoting wider adoption and grid efficiency.
- Automated interoperability assessment is key to enhancing the performance and reliability of future smart grids.
Related Concept Videos
01:25Distribution Reliability and Automation
109
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
109
01:30Typical Model Studies
363
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
363
01:25Multimachine Stability
165
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
165
01:30Simplified Synchronous Machine Model
243
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
In this model, each generator is connected to a...
243
01:26The Power Flow Problem and Solution
236
Power flow problem analysis is fundamental for determining real and reactive power flows in network components, such as transmission lines, transformers, and loads. The power system's single-line diagram provides data on the bus, transmission line, and transformer. Each bus k in the system is characterized by four key variables: voltage magnitude Vk, phase angle δk, real power Pk, and reactive power Qk. Two of these four variables are inputs, while the...
236
01:23Mechanistic Models: Compartment Models in Individual and Population Analysis
44
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
44