Cyber–Physical Systems in Real-Time and Edge Computing for Smart Grids
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".
Deadline for manuscript submissions: closed (20 October 2022) | Viewed by 5499
Special Issue Editors
Interests: measurement techniques with distributed synchronism; embedded systems in real time and photovoltaic energy
Interests: real-time communications; IEC61850 standard for SmarGrid
Special Issue Information
Dear Colleagues,
A real-time cyber–physical system for Smart Grid (SG) must integrate and process real-time data from generation, distribution, and consumption facilities. The systems involved must have real time monitoring, communication, computing, and cloud storage capabilities.
It is important to adjust the response times of each of these stages in order to have a time resolution that guarantees rapid intervention in critical situations.
There is currently a trend towards the application of Edge Computing (EC) with the incorporation of equipment located in the same facilities as edge nodes that act in a second processing phase to contribute to the optimisation of production or for the rapid detection of abnormal operating conditions.
In SG, EC can guarantee response times in accordance with the requirements of the main international standards such as IEEE 1547.1-2005 for the interconnection of distributed resources, IEEE 929-2000 and IEC 61727-2004 for the optimal interconnection of photovoltaics in residential sectors, and DIN VDE V 0126-1-1:2012 for the disconnection of the generation grid.
In this context, it is advisable to use measurement systems such as micro-phasor measurement units and power quality monitoring, which enable generating edge databases with a higher temporal resolution and with storage in an edge–cloud framework. EC requires that storage, processing, and computing take place at the edge of the network. In this framework, techniques to improve the captures sync and data sync are of relevance. Therefore, it is interesting to contribute to SG with EC techniques to manage critical events and the bidirectional control of energy flow, and to combine advanced cloud analytics techniques with artificial intelligence, machine learning, and deep learning.
For this reason, this Special Issue is dedicated to research that may represent an advance in any of the proposed challenges such as the improvement of response times with edge computing, cloud analytics techniques for the optimisation of production, techniques that allow for the development of edge–grid applications for consumption close to the generation site, the adoption of measures to guarantee response times according to standards, the application of transmission techniques with protocols such as IEC 61850 to facilitate the flow of information in real time, and all kinds of techniques that contribute to the coordination of renewable energy generation plants.
Prof. Dr. Víctor Pallarés-López
Prof. Dr. Miguel González-Redondo
Prof. Dr. Rafael Real-Calvo
Guest Editors
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Keywords
- monitoring and communication in Smart Grid
- Edge Computing for Smart Grid
- edge–cloud framework
- cloud analytic techniques for Smart Grid
- real–time embedded systems
- synchronized measurements with micro-PMU
- failure detection
- power quality and grid impact
- applications of edge–grid
- Sync Architecture for Smart Grid
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